Technotech
commited on
Commit
•
b5bfb33
1
Parent(s):
7fae12c
Initial upload
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- README.md +18 -1
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-12360/README.md +20 -0
- checkpoint-12360/adapter_config.json +21 -0
- checkpoint-12360/adapter_model.bin +3 -0
- checkpoint-12360/optimizer.pt +3 -0
- checkpoint-12360/rng_state.pth +3 -0
- checkpoint-12360/scheduler.pt +3 -0
- checkpoint-12360/trainer_state.json +754 -0
- checkpoint-12360/training_args.bin +3 -0
- checkpoint-12390/README.md +20 -0
- checkpoint-12390/adapter_config.json +21 -0
- checkpoint-12390/adapter_model.bin +3 -0
- checkpoint-12390/optimizer.pt +3 -0
- checkpoint-12390/rng_state.pth +3 -0
- checkpoint-12390/scheduler.pt +3 -0
- checkpoint-12390/trainer_state.json +754 -0
- checkpoint-12390/training_args.bin +3 -0
- checkpoint-12420/README.md +20 -0
- checkpoint-12420/adapter_config.json +21 -0
- checkpoint-12420/adapter_model.bin +3 -0
- checkpoint-12420/optimizer.pt +3 -0
- checkpoint-12420/rng_state.pth +3 -0
- checkpoint-12420/scheduler.pt +3 -0
- checkpoint-12420/trainer_state.json +760 -0
- checkpoint-12420/training_args.bin +3 -0
- checkpoint-12450/README.md +20 -0
- checkpoint-12450/adapter_config.json +21 -0
- checkpoint-12450/adapter_model.bin +3 -0
- checkpoint-12450/optimizer.pt +3 -0
- checkpoint-12450/rng_state.pth +3 -0
- checkpoint-12450/scheduler.pt +3 -0
- checkpoint-12450/trainer_state.json +760 -0
- checkpoint-12450/training_args.bin +3 -0
- checkpoint-12480/README.md +20 -0
- checkpoint-12480/adapter_config.json +21 -0
- checkpoint-12480/adapter_model.bin +3 -0
- checkpoint-12480/optimizer.pt +3 -0
- checkpoint-12480/rng_state.pth +3 -0
- checkpoint-12480/scheduler.pt +3 -0
- checkpoint-12480/trainer_state.json +760 -0
- checkpoint-12480/training_args.bin +3 -0
- checkpoint-12510/README.md +20 -0
- checkpoint-12510/adapter_config.json +21 -0
- checkpoint-12510/adapter_model.bin +3 -0
- checkpoint-12510/optimizer.pt +3 -0
- checkpoint-12510/rng_state.pth +3 -0
- checkpoint-12510/scheduler.pt +3 -0
- checkpoint-12510/trainer_state.json +766 -0
README.md
CHANGED
@@ -1,3 +1,20 @@
|
|
1 |
---
|
2 |
-
|
3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
library_name: peft
|
3 |
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: fp4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float32
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.5.0.dev0
|
adapter_config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "models/TinyStories-33M",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 8,
|
11 |
+
"lora_dropout": 0.0,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 16,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"v_proj"
|
19 |
+
],
|
20 |
+
"task_type": "CAUSAL_LM"
|
21 |
+
}
|
adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8c97a3bd6b22c34728f2f3fab2f809d43641be7294bd9b98909fc4f7fc889a64
|
3 |
+
size 792353
|
checkpoint-12360/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: fp4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float32
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.5.0.dev0
|
checkpoint-12360/adapter_config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "models/TinyStories-33M",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 8,
|
11 |
+
"lora_dropout": 0.0,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 16,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"v_proj"
|
19 |
+
],
|
20 |
+
"task_type": "CAUSAL_LM"
|
21 |
+
}
|
checkpoint-12360/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f3bd39cae0272bd5fae91b640061201e810518807bc8c427109022a1099d8aac
|
3 |
+
size 792353
|
checkpoint-12360/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0ed27b4cc5ad7e5f3014aa32fc8c3cf435e1a448088270805ce3e38e082a5cd9
|
3 |
+
size 1586873
|
checkpoint-12360/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8bb3860d98363e44bc4704fb9458deec927fd96997d1d09c80639070db959d22
|
3 |
+
size 14575
|
checkpoint-12360/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:845c1f57b7b77abd8b8e3a8652626f29e87a4177c0fdccb7d2b228b260242406
|
3 |
+
size 627
|
checkpoint-12360/trainer_state.json
ADDED
@@ -0,0 +1,754 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 9.65625,
|
5 |
+
"global_step": 12360,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.08,
|
12 |
+
"learning_rate": 0.0001,
|
13 |
+
"loss": 10.386,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.16,
|
18 |
+
"learning_rate": 0.0001,
|
19 |
+
"loss": 7.4061,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.23,
|
24 |
+
"learning_rate": 0.0001,
|
25 |
+
"loss": 6.4112,
|
26 |
+
"step": 300
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.31,
|
30 |
+
"learning_rate": 0.0001,
|
31 |
+
"loss": 6.091,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.39,
|
36 |
+
"learning_rate": 0.0001,
|
37 |
+
"loss": 5.8571,
|
38 |
+
"step": 500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.47,
|
42 |
+
"learning_rate": 0.0001,
|
43 |
+
"loss": 5.7144,
|
44 |
+
"step": 600
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.55,
|
48 |
+
"learning_rate": 0.0001,
|
49 |
+
"loss": 5.6228,
|
50 |
+
"step": 700
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.62,
|
54 |
+
"learning_rate": 0.0001,
|
55 |
+
"loss": 5.546,
|
56 |
+
"step": 800
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.7,
|
60 |
+
"learning_rate": 0.0001,
|
61 |
+
"loss": 5.4904,
|
62 |
+
"step": 900
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.78,
|
66 |
+
"learning_rate": 0.0001,
|
67 |
+
"loss": 5.4413,
|
68 |
+
"step": 1000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.86,
|
72 |
+
"learning_rate": 0.0001,
|
73 |
+
"loss": 5.3603,
|
74 |
+
"step": 1100
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.94,
|
78 |
+
"learning_rate": 0.0001,
|
79 |
+
"loss": 5.3346,
|
80 |
+
"step": 1200
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 1.02,
|
84 |
+
"learning_rate": 0.0001,
|
85 |
+
"loss": 5.2744,
|
86 |
+
"step": 1300
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.09,
|
90 |
+
"learning_rate": 0.0001,
|
91 |
+
"loss": 5.231,
|
92 |
+
"step": 1400
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 1.17,
|
96 |
+
"learning_rate": 0.0001,
|
97 |
+
"loss": 5.1782,
|
98 |
+
"step": 1500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.25,
|
102 |
+
"learning_rate": 0.0001,
|
103 |
+
"loss": 5.1613,
|
104 |
+
"step": 1600
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 1.33,
|
108 |
+
"learning_rate": 0.0001,
|
109 |
+
"loss": 5.1091,
|
110 |
+
"step": 1700
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 1.41,
|
114 |
+
"learning_rate": 0.0001,
|
115 |
+
"loss": 5.0939,
|
116 |
+
"step": 1800
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1.48,
|
120 |
+
"learning_rate": 0.0001,
|
121 |
+
"loss": 5.0667,
|
122 |
+
"step": 1900
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 1.56,
|
126 |
+
"learning_rate": 0.0001,
|
127 |
+
"loss": 5.0054,
|
128 |
+
"step": 2000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.64,
|
132 |
+
"learning_rate": 0.0001,
|
133 |
+
"loss": 4.96,
|
134 |
+
"step": 2100
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 1.72,
|
138 |
+
"learning_rate": 0.0001,
|
139 |
+
"loss": 4.9301,
|
140 |
+
"step": 2200
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.8,
|
144 |
+
"learning_rate": 0.0001,
|
145 |
+
"loss": 4.9302,
|
146 |
+
"step": 2300
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 1.88,
|
150 |
+
"learning_rate": 0.0001,
|
151 |
+
"loss": 4.9129,
|
152 |
+
"step": 2400
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 1.95,
|
156 |
+
"learning_rate": 0.0001,
|
157 |
+
"loss": 4.8627,
|
158 |
+
"step": 2500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 2.03,
|
162 |
+
"learning_rate": 0.0001,
|
163 |
+
"loss": 4.8336,
|
164 |
+
"step": 2600
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 2.11,
|
168 |
+
"learning_rate": 0.0001,
|
169 |
+
"loss": 4.8018,
|
170 |
+
"step": 2700
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 2.19,
|
174 |
+
"learning_rate": 0.0001,
|
175 |
+
"loss": 4.7479,
|
176 |
+
"step": 2800
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 2.27,
|
180 |
+
"learning_rate": 0.0001,
|
181 |
+
"loss": 4.7572,
|
182 |
+
"step": 2900
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 2.34,
|
186 |
+
"learning_rate": 0.0001,
|
187 |
+
"loss": 4.759,
|
188 |
+
"step": 3000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 2.42,
|
192 |
+
"learning_rate": 0.0001,
|
193 |
+
"loss": 4.7441,
|
194 |
+
"step": 3100
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 2.5,
|
198 |
+
"learning_rate": 0.0001,
|
199 |
+
"loss": 4.7195,
|
200 |
+
"step": 3200
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 2.58,
|
204 |
+
"learning_rate": 0.0001,
|
205 |
+
"loss": 4.6821,
|
206 |
+
"step": 3300
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 2.66,
|
210 |
+
"learning_rate": 0.0001,
|
211 |
+
"loss": 4.6587,
|
212 |
+
"step": 3400
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.73,
|
216 |
+
"learning_rate": 0.0001,
|
217 |
+
"loss": 4.6228,
|
218 |
+
"step": 3500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.81,
|
222 |
+
"learning_rate": 0.0001,
|
223 |
+
"loss": 4.6248,
|
224 |
+
"step": 3600
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.89,
|
228 |
+
"learning_rate": 0.0001,
|
229 |
+
"loss": 4.5801,
|
230 |
+
"step": 3700
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.97,
|
234 |
+
"learning_rate": 0.0001,
|
235 |
+
"loss": 4.5934,
|
236 |
+
"step": 3800
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 3.05,
|
240 |
+
"learning_rate": 0.0001,
|
241 |
+
"loss": 4.5781,
|
242 |
+
"step": 3900
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 3.12,
|
246 |
+
"learning_rate": 0.0001,
|
247 |
+
"loss": 4.5763,
|
248 |
+
"step": 4000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 3.2,
|
252 |
+
"learning_rate": 0.0001,
|
253 |
+
"loss": 4.5598,
|
254 |
+
"step": 4100
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 3.28,
|
258 |
+
"learning_rate": 0.0001,
|
259 |
+
"loss": 4.4796,
|
260 |
+
"step": 4200
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 3.36,
|
264 |
+
"learning_rate": 0.0001,
|
265 |
+
"loss": 4.5204,
|
266 |
+
"step": 4300
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 3.44,
|
270 |
+
"learning_rate": 0.0001,
|
271 |
+
"loss": 4.4858,
|
272 |
+
"step": 4400
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 3.52,
|
276 |
+
"learning_rate": 0.0001,
|
277 |
+
"loss": 4.4882,
|
278 |
+
"step": 4500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 3.59,
|
282 |
+
"learning_rate": 0.0001,
|
283 |
+
"loss": 4.4852,
|
284 |
+
"step": 4600
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 3.67,
|
288 |
+
"learning_rate": 0.0001,
|
289 |
+
"loss": 4.4302,
|
290 |
+
"step": 4700
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 3.75,
|
294 |
+
"learning_rate": 0.0001,
|
295 |
+
"loss": 4.4267,
|
296 |
+
"step": 4800
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 3.83,
|
300 |
+
"learning_rate": 0.0001,
|
301 |
+
"loss": 4.4298,
|
302 |
+
"step": 4900
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 3.91,
|
306 |
+
"learning_rate": 0.0001,
|
307 |
+
"loss": 4.3892,
|
308 |
+
"step": 5000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 3.98,
|
312 |
+
"learning_rate": 0.0001,
|
313 |
+
"loss": 4.3886,
|
314 |
+
"step": 5100
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 4.06,
|
318 |
+
"learning_rate": 0.0001,
|
319 |
+
"loss": 4.3915,
|
320 |
+
"step": 5200
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 4.14,
|
324 |
+
"learning_rate": 0.0001,
|
325 |
+
"loss": 4.3706,
|
326 |
+
"step": 5300
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 4.22,
|
330 |
+
"learning_rate": 0.0001,
|
331 |
+
"loss": 4.3528,
|
332 |
+
"step": 5400
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 4.3,
|
336 |
+
"learning_rate": 0.0001,
|
337 |
+
"loss": 4.3272,
|
338 |
+
"step": 5500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 4.38,
|
342 |
+
"learning_rate": 0.0001,
|
343 |
+
"loss": 4.3679,
|
344 |
+
"step": 5600
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 4.45,
|
348 |
+
"learning_rate": 0.0001,
|
349 |
+
"loss": 4.3608,
|
350 |
+
"step": 5700
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 4.53,
|
354 |
+
"learning_rate": 0.0001,
|
355 |
+
"loss": 4.3262,
|
356 |
+
"step": 5800
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 4.61,
|
360 |
+
"learning_rate": 0.0001,
|
361 |
+
"loss": 4.3097,
|
362 |
+
"step": 5900
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 4.69,
|
366 |
+
"learning_rate": 0.0001,
|
367 |
+
"loss": 4.2973,
|
368 |
+
"step": 6000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 4.77,
|
372 |
+
"learning_rate": 0.0001,
|
373 |
+
"loss": 4.2756,
|
374 |
+
"step": 6100
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 4.84,
|
378 |
+
"learning_rate": 0.0001,
|
379 |
+
"loss": 4.3174,
|
380 |
+
"step": 6200
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 4.92,
|
384 |
+
"learning_rate": 0.0001,
|
385 |
+
"loss": 4.2786,
|
386 |
+
"step": 6300
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 5.0,
|
390 |
+
"learning_rate": 0.0001,
|
391 |
+
"loss": 4.2484,
|
392 |
+
"step": 6400
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 5.08,
|
396 |
+
"learning_rate": 0.0001,
|
397 |
+
"loss": 4.2634,
|
398 |
+
"step": 6500
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 5.16,
|
402 |
+
"learning_rate": 0.0001,
|
403 |
+
"loss": 4.228,
|
404 |
+
"step": 6600
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 5.23,
|
408 |
+
"learning_rate": 0.0001,
|
409 |
+
"loss": 4.2745,
|
410 |
+
"step": 6700
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 5.31,
|
414 |
+
"learning_rate": 0.0001,
|
415 |
+
"loss": 4.2297,
|
416 |
+
"step": 6800
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 5.39,
|
420 |
+
"learning_rate": 0.0001,
|
421 |
+
"loss": 4.1989,
|
422 |
+
"step": 6900
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 5.47,
|
426 |
+
"learning_rate": 0.0001,
|
427 |
+
"loss": 4.2074,
|
428 |
+
"step": 7000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 5.55,
|
432 |
+
"learning_rate": 0.0001,
|
433 |
+
"loss": 4.201,
|
434 |
+
"step": 7100
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 5.62,
|
438 |
+
"learning_rate": 0.0001,
|
439 |
+
"loss": 4.2109,
|
440 |
+
"step": 7200
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 5.7,
|
444 |
+
"learning_rate": 0.0001,
|
445 |
+
"loss": 4.1945,
|
446 |
+
"step": 7300
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 5.78,
|
450 |
+
"learning_rate": 0.0001,
|
451 |
+
"loss": 4.1744,
|
452 |
+
"step": 7400
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 5.86,
|
456 |
+
"learning_rate": 0.0001,
|
457 |
+
"loss": 4.1741,
|
458 |
+
"step": 7500
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 5.94,
|
462 |
+
"learning_rate": 0.0001,
|
463 |
+
"loss": 4.19,
|
464 |
+
"step": 7600
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 6.02,
|
468 |
+
"learning_rate": 0.0001,
|
469 |
+
"loss": 4.1612,
|
470 |
+
"step": 7700
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 6.09,
|
474 |
+
"learning_rate": 0.0001,
|
475 |
+
"loss": 4.1559,
|
476 |
+
"step": 7800
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 6.17,
|
480 |
+
"learning_rate": 0.0001,
|
481 |
+
"loss": 4.1378,
|
482 |
+
"step": 7900
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 6.25,
|
486 |
+
"learning_rate": 0.0001,
|
487 |
+
"loss": 4.144,
|
488 |
+
"step": 8000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 6.33,
|
492 |
+
"learning_rate": 0.0001,
|
493 |
+
"loss": 4.1601,
|
494 |
+
"step": 8100
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 6.41,
|
498 |
+
"learning_rate": 0.0001,
|
499 |
+
"loss": 4.1339,
|
500 |
+
"step": 8200
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 6.48,
|
504 |
+
"learning_rate": 0.0001,
|
505 |
+
"loss": 4.13,
|
506 |
+
"step": 8300
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 6.56,
|
510 |
+
"learning_rate": 0.0001,
|
511 |
+
"loss": 4.0877,
|
512 |
+
"step": 8400
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 6.64,
|
516 |
+
"learning_rate": 0.0001,
|
517 |
+
"loss": 4.1022,
|
518 |
+
"step": 8500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 6.72,
|
522 |
+
"learning_rate": 0.0001,
|
523 |
+
"loss": 4.1034,
|
524 |
+
"step": 8600
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 6.8,
|
528 |
+
"learning_rate": 0.0001,
|
529 |
+
"loss": 4.091,
|
530 |
+
"step": 8700
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 6.88,
|
534 |
+
"learning_rate": 0.0001,
|
535 |
+
"loss": 4.0914,
|
536 |
+
"step": 8800
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 6.95,
|
540 |
+
"learning_rate": 0.0001,
|
541 |
+
"loss": 4.0937,
|
542 |
+
"step": 8900
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 7.03,
|
546 |
+
"learning_rate": 0.0001,
|
547 |
+
"loss": 4.0897,
|
548 |
+
"step": 9000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 7.11,
|
552 |
+
"learning_rate": 0.0001,
|
553 |
+
"loss": 4.0844,
|
554 |
+
"step": 9100
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 7.19,
|
558 |
+
"learning_rate": 0.0001,
|
559 |
+
"loss": 4.0574,
|
560 |
+
"step": 9200
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 7.27,
|
564 |
+
"learning_rate": 0.0001,
|
565 |
+
"loss": 4.0837,
|
566 |
+
"step": 9300
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 7.34,
|
570 |
+
"learning_rate": 0.0001,
|
571 |
+
"loss": 4.0766,
|
572 |
+
"step": 9400
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 7.42,
|
576 |
+
"learning_rate": 0.0001,
|
577 |
+
"loss": 4.066,
|
578 |
+
"step": 9500
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 7.5,
|
582 |
+
"learning_rate": 0.0001,
|
583 |
+
"loss": 3.9944,
|
584 |
+
"step": 9600
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 7.58,
|
588 |
+
"learning_rate": 0.0001,
|
589 |
+
"loss": 4.0126,
|
590 |
+
"step": 9700
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 7.66,
|
594 |
+
"learning_rate": 0.0001,
|
595 |
+
"loss": 4.0273,
|
596 |
+
"step": 9800
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 7.73,
|
600 |
+
"learning_rate": 0.0001,
|
601 |
+
"loss": 4.0706,
|
602 |
+
"step": 9900
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 7.81,
|
606 |
+
"learning_rate": 0.0001,
|
607 |
+
"loss": 4.0008,
|
608 |
+
"step": 10000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 7.89,
|
612 |
+
"learning_rate": 0.0001,
|
613 |
+
"loss": 4.0323,
|
614 |
+
"step": 10100
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 7.97,
|
618 |
+
"learning_rate": 0.0001,
|
619 |
+
"loss": 3.9864,
|
620 |
+
"step": 10200
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 8.05,
|
624 |
+
"learning_rate": 0.0001,
|
625 |
+
"loss": 4.0265,
|
626 |
+
"step": 10300
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 8.12,
|
630 |
+
"learning_rate": 0.0001,
|
631 |
+
"loss": 3.9874,
|
632 |
+
"step": 10400
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 8.2,
|
636 |
+
"learning_rate": 0.0001,
|
637 |
+
"loss": 3.9839,
|
638 |
+
"step": 10500
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 8.28,
|
642 |
+
"learning_rate": 0.0001,
|
643 |
+
"loss": 3.9583,
|
644 |
+
"step": 10600
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 8.36,
|
648 |
+
"learning_rate": 0.0001,
|
649 |
+
"loss": 4.007,
|
650 |
+
"step": 10700
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 8.44,
|
654 |
+
"learning_rate": 0.0001,
|
655 |
+
"loss": 3.9567,
|
656 |
+
"step": 10800
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 8.52,
|
660 |
+
"learning_rate": 0.0001,
|
661 |
+
"loss": 3.9888,
|
662 |
+
"step": 10900
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 8.59,
|
666 |
+
"learning_rate": 0.0001,
|
667 |
+
"loss": 3.9993,
|
668 |
+
"step": 11000
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 8.67,
|
672 |
+
"learning_rate": 0.0001,
|
673 |
+
"loss": 3.9914,
|
674 |
+
"step": 11100
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 8.75,
|
678 |
+
"learning_rate": 0.0001,
|
679 |
+
"loss": 4.0094,
|
680 |
+
"step": 11200
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 8.83,
|
684 |
+
"learning_rate": 0.0001,
|
685 |
+
"loss": 3.9338,
|
686 |
+
"step": 11300
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 8.91,
|
690 |
+
"learning_rate": 0.0001,
|
691 |
+
"loss": 3.9472,
|
692 |
+
"step": 11400
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 8.98,
|
696 |
+
"learning_rate": 0.0001,
|
697 |
+
"loss": 3.9595,
|
698 |
+
"step": 11500
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 9.06,
|
702 |
+
"learning_rate": 0.0001,
|
703 |
+
"loss": 3.9545,
|
704 |
+
"step": 11600
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 9.14,
|
708 |
+
"learning_rate": 0.0001,
|
709 |
+
"loss": 3.993,
|
710 |
+
"step": 11700
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 9.22,
|
714 |
+
"learning_rate": 0.0001,
|
715 |
+
"loss": 3.895,
|
716 |
+
"step": 11800
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 9.3,
|
720 |
+
"learning_rate": 0.0001,
|
721 |
+
"loss": 3.9527,
|
722 |
+
"step": 11900
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 9.38,
|
726 |
+
"learning_rate": 0.0001,
|
727 |
+
"loss": 3.9205,
|
728 |
+
"step": 12000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 9.45,
|
732 |
+
"learning_rate": 0.0001,
|
733 |
+
"loss": 3.914,
|
734 |
+
"step": 12100
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 9.53,
|
738 |
+
"learning_rate": 0.0001,
|
739 |
+
"loss": 3.8872,
|
740 |
+
"step": 12200
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 9.61,
|
744 |
+
"learning_rate": 0.0001,
|
745 |
+
"loss": 3.9171,
|
746 |
+
"step": 12300
|
747 |
+
}
|
748 |
+
],
|
749 |
+
"max_steps": 12800,
|
750 |
+
"num_train_epochs": 10,
|
751 |
+
"total_flos": 9246417995335680.0,
|
752 |
+
"trial_name": null,
|
753 |
+
"trial_params": null
|
754 |
+
}
|
checkpoint-12360/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e683e2614c4dcf1ee5d4bfe9622ed2cfdbf3faf9319855e4a9b393368f21e44
|
3 |
+
size 3899
|
checkpoint-12390/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: fp4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float32
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.5.0.dev0
|
checkpoint-12390/adapter_config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "models/TinyStories-33M",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 8,
|
11 |
+
"lora_dropout": 0.0,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 16,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"v_proj"
|
19 |
+
],
|
20 |
+
"task_type": "CAUSAL_LM"
|
21 |
+
}
|
checkpoint-12390/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2638e3a4999749d4f6a329f2d948a026f296cc0606de56f66eb59a7a5435ae82
|
3 |
+
size 792353
|
checkpoint-12390/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:611d9b387269a4b7f63640b47040166c4f161581bf62376c80b680134454b7c6
|
3 |
+
size 1586873
|
checkpoint-12390/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8bb3860d98363e44bc4704fb9458deec927fd96997d1d09c80639070db959d22
|
3 |
+
size 14575
|
checkpoint-12390/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cd03d1ae0c09c9520cd92e5bf2331a87151cb6edff37a2a3de420ef62b3a176f
|
3 |
+
size 627
|
checkpoint-12390/trainer_state.json
ADDED
@@ -0,0 +1,754 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 9.6796875,
|
5 |
+
"global_step": 12390,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.08,
|
12 |
+
"learning_rate": 0.0001,
|
13 |
+
"loss": 10.386,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.16,
|
18 |
+
"learning_rate": 0.0001,
|
19 |
+
"loss": 7.4061,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.23,
|
24 |
+
"learning_rate": 0.0001,
|
25 |
+
"loss": 6.4112,
|
26 |
+
"step": 300
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.31,
|
30 |
+
"learning_rate": 0.0001,
|
31 |
+
"loss": 6.091,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.39,
|
36 |
+
"learning_rate": 0.0001,
|
37 |
+
"loss": 5.8571,
|
38 |
+
"step": 500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.47,
|
42 |
+
"learning_rate": 0.0001,
|
43 |
+
"loss": 5.7144,
|
44 |
+
"step": 600
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.55,
|
48 |
+
"learning_rate": 0.0001,
|
49 |
+
"loss": 5.6228,
|
50 |
+
"step": 700
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.62,
|
54 |
+
"learning_rate": 0.0001,
|
55 |
+
"loss": 5.546,
|
56 |
+
"step": 800
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.7,
|
60 |
+
"learning_rate": 0.0001,
|
61 |
+
"loss": 5.4904,
|
62 |
+
"step": 900
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.78,
|
66 |
+
"learning_rate": 0.0001,
|
67 |
+
"loss": 5.4413,
|
68 |
+
"step": 1000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.86,
|
72 |
+
"learning_rate": 0.0001,
|
73 |
+
"loss": 5.3603,
|
74 |
+
"step": 1100
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.94,
|
78 |
+
"learning_rate": 0.0001,
|
79 |
+
"loss": 5.3346,
|
80 |
+
"step": 1200
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 1.02,
|
84 |
+
"learning_rate": 0.0001,
|
85 |
+
"loss": 5.2744,
|
86 |
+
"step": 1300
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.09,
|
90 |
+
"learning_rate": 0.0001,
|
91 |
+
"loss": 5.231,
|
92 |
+
"step": 1400
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 1.17,
|
96 |
+
"learning_rate": 0.0001,
|
97 |
+
"loss": 5.1782,
|
98 |
+
"step": 1500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.25,
|
102 |
+
"learning_rate": 0.0001,
|
103 |
+
"loss": 5.1613,
|
104 |
+
"step": 1600
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 1.33,
|
108 |
+
"learning_rate": 0.0001,
|
109 |
+
"loss": 5.1091,
|
110 |
+
"step": 1700
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 1.41,
|
114 |
+
"learning_rate": 0.0001,
|
115 |
+
"loss": 5.0939,
|
116 |
+
"step": 1800
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1.48,
|
120 |
+
"learning_rate": 0.0001,
|
121 |
+
"loss": 5.0667,
|
122 |
+
"step": 1900
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 1.56,
|
126 |
+
"learning_rate": 0.0001,
|
127 |
+
"loss": 5.0054,
|
128 |
+
"step": 2000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.64,
|
132 |
+
"learning_rate": 0.0001,
|
133 |
+
"loss": 4.96,
|
134 |
+
"step": 2100
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 1.72,
|
138 |
+
"learning_rate": 0.0001,
|
139 |
+
"loss": 4.9301,
|
140 |
+
"step": 2200
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.8,
|
144 |
+
"learning_rate": 0.0001,
|
145 |
+
"loss": 4.9302,
|
146 |
+
"step": 2300
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 1.88,
|
150 |
+
"learning_rate": 0.0001,
|
151 |
+
"loss": 4.9129,
|
152 |
+
"step": 2400
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 1.95,
|
156 |
+
"learning_rate": 0.0001,
|
157 |
+
"loss": 4.8627,
|
158 |
+
"step": 2500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 2.03,
|
162 |
+
"learning_rate": 0.0001,
|
163 |
+
"loss": 4.8336,
|
164 |
+
"step": 2600
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 2.11,
|
168 |
+
"learning_rate": 0.0001,
|
169 |
+
"loss": 4.8018,
|
170 |
+
"step": 2700
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 2.19,
|
174 |
+
"learning_rate": 0.0001,
|
175 |
+
"loss": 4.7479,
|
176 |
+
"step": 2800
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 2.27,
|
180 |
+
"learning_rate": 0.0001,
|
181 |
+
"loss": 4.7572,
|
182 |
+
"step": 2900
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 2.34,
|
186 |
+
"learning_rate": 0.0001,
|
187 |
+
"loss": 4.759,
|
188 |
+
"step": 3000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 2.42,
|
192 |
+
"learning_rate": 0.0001,
|
193 |
+
"loss": 4.7441,
|
194 |
+
"step": 3100
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 2.5,
|
198 |
+
"learning_rate": 0.0001,
|
199 |
+
"loss": 4.7195,
|
200 |
+
"step": 3200
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 2.58,
|
204 |
+
"learning_rate": 0.0001,
|
205 |
+
"loss": 4.6821,
|
206 |
+
"step": 3300
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 2.66,
|
210 |
+
"learning_rate": 0.0001,
|
211 |
+
"loss": 4.6587,
|
212 |
+
"step": 3400
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.73,
|
216 |
+
"learning_rate": 0.0001,
|
217 |
+
"loss": 4.6228,
|
218 |
+
"step": 3500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.81,
|
222 |
+
"learning_rate": 0.0001,
|
223 |
+
"loss": 4.6248,
|
224 |
+
"step": 3600
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.89,
|
228 |
+
"learning_rate": 0.0001,
|
229 |
+
"loss": 4.5801,
|
230 |
+
"step": 3700
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.97,
|
234 |
+
"learning_rate": 0.0001,
|
235 |
+
"loss": 4.5934,
|
236 |
+
"step": 3800
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 3.05,
|
240 |
+
"learning_rate": 0.0001,
|
241 |
+
"loss": 4.5781,
|
242 |
+
"step": 3900
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 3.12,
|
246 |
+
"learning_rate": 0.0001,
|
247 |
+
"loss": 4.5763,
|
248 |
+
"step": 4000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 3.2,
|
252 |
+
"learning_rate": 0.0001,
|
253 |
+
"loss": 4.5598,
|
254 |
+
"step": 4100
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 3.28,
|
258 |
+
"learning_rate": 0.0001,
|
259 |
+
"loss": 4.4796,
|
260 |
+
"step": 4200
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 3.36,
|
264 |
+
"learning_rate": 0.0001,
|
265 |
+
"loss": 4.5204,
|
266 |
+
"step": 4300
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 3.44,
|
270 |
+
"learning_rate": 0.0001,
|
271 |
+
"loss": 4.4858,
|
272 |
+
"step": 4400
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 3.52,
|
276 |
+
"learning_rate": 0.0001,
|
277 |
+
"loss": 4.4882,
|
278 |
+
"step": 4500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 3.59,
|
282 |
+
"learning_rate": 0.0001,
|
283 |
+
"loss": 4.4852,
|
284 |
+
"step": 4600
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 3.67,
|
288 |
+
"learning_rate": 0.0001,
|
289 |
+
"loss": 4.4302,
|
290 |
+
"step": 4700
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 3.75,
|
294 |
+
"learning_rate": 0.0001,
|
295 |
+
"loss": 4.4267,
|
296 |
+
"step": 4800
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 3.83,
|
300 |
+
"learning_rate": 0.0001,
|
301 |
+
"loss": 4.4298,
|
302 |
+
"step": 4900
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 3.91,
|
306 |
+
"learning_rate": 0.0001,
|
307 |
+
"loss": 4.3892,
|
308 |
+
"step": 5000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 3.98,
|
312 |
+
"learning_rate": 0.0001,
|
313 |
+
"loss": 4.3886,
|
314 |
+
"step": 5100
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 4.06,
|
318 |
+
"learning_rate": 0.0001,
|
319 |
+
"loss": 4.3915,
|
320 |
+
"step": 5200
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 4.14,
|
324 |
+
"learning_rate": 0.0001,
|
325 |
+
"loss": 4.3706,
|
326 |
+
"step": 5300
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 4.22,
|
330 |
+
"learning_rate": 0.0001,
|
331 |
+
"loss": 4.3528,
|
332 |
+
"step": 5400
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 4.3,
|
336 |
+
"learning_rate": 0.0001,
|
337 |
+
"loss": 4.3272,
|
338 |
+
"step": 5500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 4.38,
|
342 |
+
"learning_rate": 0.0001,
|
343 |
+
"loss": 4.3679,
|
344 |
+
"step": 5600
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 4.45,
|
348 |
+
"learning_rate": 0.0001,
|
349 |
+
"loss": 4.3608,
|
350 |
+
"step": 5700
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 4.53,
|
354 |
+
"learning_rate": 0.0001,
|
355 |
+
"loss": 4.3262,
|
356 |
+
"step": 5800
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 4.61,
|
360 |
+
"learning_rate": 0.0001,
|
361 |
+
"loss": 4.3097,
|
362 |
+
"step": 5900
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 4.69,
|
366 |
+
"learning_rate": 0.0001,
|
367 |
+
"loss": 4.2973,
|
368 |
+
"step": 6000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 4.77,
|
372 |
+
"learning_rate": 0.0001,
|
373 |
+
"loss": 4.2756,
|
374 |
+
"step": 6100
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 4.84,
|
378 |
+
"learning_rate": 0.0001,
|
379 |
+
"loss": 4.3174,
|
380 |
+
"step": 6200
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 4.92,
|
384 |
+
"learning_rate": 0.0001,
|
385 |
+
"loss": 4.2786,
|
386 |
+
"step": 6300
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 5.0,
|
390 |
+
"learning_rate": 0.0001,
|
391 |
+
"loss": 4.2484,
|
392 |
+
"step": 6400
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 5.08,
|
396 |
+
"learning_rate": 0.0001,
|
397 |
+
"loss": 4.2634,
|
398 |
+
"step": 6500
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 5.16,
|
402 |
+
"learning_rate": 0.0001,
|
403 |
+
"loss": 4.228,
|
404 |
+
"step": 6600
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 5.23,
|
408 |
+
"learning_rate": 0.0001,
|
409 |
+
"loss": 4.2745,
|
410 |
+
"step": 6700
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 5.31,
|
414 |
+
"learning_rate": 0.0001,
|
415 |
+
"loss": 4.2297,
|
416 |
+
"step": 6800
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 5.39,
|
420 |
+
"learning_rate": 0.0001,
|
421 |
+
"loss": 4.1989,
|
422 |
+
"step": 6900
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 5.47,
|
426 |
+
"learning_rate": 0.0001,
|
427 |
+
"loss": 4.2074,
|
428 |
+
"step": 7000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 5.55,
|
432 |
+
"learning_rate": 0.0001,
|
433 |
+
"loss": 4.201,
|
434 |
+
"step": 7100
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 5.62,
|
438 |
+
"learning_rate": 0.0001,
|
439 |
+
"loss": 4.2109,
|
440 |
+
"step": 7200
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 5.7,
|
444 |
+
"learning_rate": 0.0001,
|
445 |
+
"loss": 4.1945,
|
446 |
+
"step": 7300
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 5.78,
|
450 |
+
"learning_rate": 0.0001,
|
451 |
+
"loss": 4.1744,
|
452 |
+
"step": 7400
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 5.86,
|
456 |
+
"learning_rate": 0.0001,
|
457 |
+
"loss": 4.1741,
|
458 |
+
"step": 7500
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 5.94,
|
462 |
+
"learning_rate": 0.0001,
|
463 |
+
"loss": 4.19,
|
464 |
+
"step": 7600
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 6.02,
|
468 |
+
"learning_rate": 0.0001,
|
469 |
+
"loss": 4.1612,
|
470 |
+
"step": 7700
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 6.09,
|
474 |
+
"learning_rate": 0.0001,
|
475 |
+
"loss": 4.1559,
|
476 |
+
"step": 7800
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 6.17,
|
480 |
+
"learning_rate": 0.0001,
|
481 |
+
"loss": 4.1378,
|
482 |
+
"step": 7900
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 6.25,
|
486 |
+
"learning_rate": 0.0001,
|
487 |
+
"loss": 4.144,
|
488 |
+
"step": 8000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 6.33,
|
492 |
+
"learning_rate": 0.0001,
|
493 |
+
"loss": 4.1601,
|
494 |
+
"step": 8100
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 6.41,
|
498 |
+
"learning_rate": 0.0001,
|
499 |
+
"loss": 4.1339,
|
500 |
+
"step": 8200
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 6.48,
|
504 |
+
"learning_rate": 0.0001,
|
505 |
+
"loss": 4.13,
|
506 |
+
"step": 8300
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 6.56,
|
510 |
+
"learning_rate": 0.0001,
|
511 |
+
"loss": 4.0877,
|
512 |
+
"step": 8400
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 6.64,
|
516 |
+
"learning_rate": 0.0001,
|
517 |
+
"loss": 4.1022,
|
518 |
+
"step": 8500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 6.72,
|
522 |
+
"learning_rate": 0.0001,
|
523 |
+
"loss": 4.1034,
|
524 |
+
"step": 8600
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 6.8,
|
528 |
+
"learning_rate": 0.0001,
|
529 |
+
"loss": 4.091,
|
530 |
+
"step": 8700
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 6.88,
|
534 |
+
"learning_rate": 0.0001,
|
535 |
+
"loss": 4.0914,
|
536 |
+
"step": 8800
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 6.95,
|
540 |
+
"learning_rate": 0.0001,
|
541 |
+
"loss": 4.0937,
|
542 |
+
"step": 8900
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 7.03,
|
546 |
+
"learning_rate": 0.0001,
|
547 |
+
"loss": 4.0897,
|
548 |
+
"step": 9000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 7.11,
|
552 |
+
"learning_rate": 0.0001,
|
553 |
+
"loss": 4.0844,
|
554 |
+
"step": 9100
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 7.19,
|
558 |
+
"learning_rate": 0.0001,
|
559 |
+
"loss": 4.0574,
|
560 |
+
"step": 9200
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 7.27,
|
564 |
+
"learning_rate": 0.0001,
|
565 |
+
"loss": 4.0837,
|
566 |
+
"step": 9300
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 7.34,
|
570 |
+
"learning_rate": 0.0001,
|
571 |
+
"loss": 4.0766,
|
572 |
+
"step": 9400
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 7.42,
|
576 |
+
"learning_rate": 0.0001,
|
577 |
+
"loss": 4.066,
|
578 |
+
"step": 9500
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 7.5,
|
582 |
+
"learning_rate": 0.0001,
|
583 |
+
"loss": 3.9944,
|
584 |
+
"step": 9600
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 7.58,
|
588 |
+
"learning_rate": 0.0001,
|
589 |
+
"loss": 4.0126,
|
590 |
+
"step": 9700
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 7.66,
|
594 |
+
"learning_rate": 0.0001,
|
595 |
+
"loss": 4.0273,
|
596 |
+
"step": 9800
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 7.73,
|
600 |
+
"learning_rate": 0.0001,
|
601 |
+
"loss": 4.0706,
|
602 |
+
"step": 9900
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 7.81,
|
606 |
+
"learning_rate": 0.0001,
|
607 |
+
"loss": 4.0008,
|
608 |
+
"step": 10000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 7.89,
|
612 |
+
"learning_rate": 0.0001,
|
613 |
+
"loss": 4.0323,
|
614 |
+
"step": 10100
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 7.97,
|
618 |
+
"learning_rate": 0.0001,
|
619 |
+
"loss": 3.9864,
|
620 |
+
"step": 10200
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 8.05,
|
624 |
+
"learning_rate": 0.0001,
|
625 |
+
"loss": 4.0265,
|
626 |
+
"step": 10300
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 8.12,
|
630 |
+
"learning_rate": 0.0001,
|
631 |
+
"loss": 3.9874,
|
632 |
+
"step": 10400
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 8.2,
|
636 |
+
"learning_rate": 0.0001,
|
637 |
+
"loss": 3.9839,
|
638 |
+
"step": 10500
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 8.28,
|
642 |
+
"learning_rate": 0.0001,
|
643 |
+
"loss": 3.9583,
|
644 |
+
"step": 10600
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 8.36,
|
648 |
+
"learning_rate": 0.0001,
|
649 |
+
"loss": 4.007,
|
650 |
+
"step": 10700
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 8.44,
|
654 |
+
"learning_rate": 0.0001,
|
655 |
+
"loss": 3.9567,
|
656 |
+
"step": 10800
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 8.52,
|
660 |
+
"learning_rate": 0.0001,
|
661 |
+
"loss": 3.9888,
|
662 |
+
"step": 10900
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 8.59,
|
666 |
+
"learning_rate": 0.0001,
|
667 |
+
"loss": 3.9993,
|
668 |
+
"step": 11000
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 8.67,
|
672 |
+
"learning_rate": 0.0001,
|
673 |
+
"loss": 3.9914,
|
674 |
+
"step": 11100
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 8.75,
|
678 |
+
"learning_rate": 0.0001,
|
679 |
+
"loss": 4.0094,
|
680 |
+
"step": 11200
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 8.83,
|
684 |
+
"learning_rate": 0.0001,
|
685 |
+
"loss": 3.9338,
|
686 |
+
"step": 11300
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 8.91,
|
690 |
+
"learning_rate": 0.0001,
|
691 |
+
"loss": 3.9472,
|
692 |
+
"step": 11400
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 8.98,
|
696 |
+
"learning_rate": 0.0001,
|
697 |
+
"loss": 3.9595,
|
698 |
+
"step": 11500
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 9.06,
|
702 |
+
"learning_rate": 0.0001,
|
703 |
+
"loss": 3.9545,
|
704 |
+
"step": 11600
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 9.14,
|
708 |
+
"learning_rate": 0.0001,
|
709 |
+
"loss": 3.993,
|
710 |
+
"step": 11700
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 9.22,
|
714 |
+
"learning_rate": 0.0001,
|
715 |
+
"loss": 3.895,
|
716 |
+
"step": 11800
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 9.3,
|
720 |
+
"learning_rate": 0.0001,
|
721 |
+
"loss": 3.9527,
|
722 |
+
"step": 11900
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 9.38,
|
726 |
+
"learning_rate": 0.0001,
|
727 |
+
"loss": 3.9205,
|
728 |
+
"step": 12000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 9.45,
|
732 |
+
"learning_rate": 0.0001,
|
733 |
+
"loss": 3.914,
|
734 |
+
"step": 12100
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 9.53,
|
738 |
+
"learning_rate": 0.0001,
|
739 |
+
"loss": 3.8872,
|
740 |
+
"step": 12200
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 9.61,
|
744 |
+
"learning_rate": 0.0001,
|
745 |
+
"loss": 3.9171,
|
746 |
+
"step": 12300
|
747 |
+
}
|
748 |
+
],
|
749 |
+
"max_steps": 12800,
|
750 |
+
"num_train_epochs": 10,
|
751 |
+
"total_flos": 9270435050588160.0,
|
752 |
+
"trial_name": null,
|
753 |
+
"trial_params": null
|
754 |
+
}
|
checkpoint-12390/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e683e2614c4dcf1ee5d4bfe9622ed2cfdbf3faf9319855e4a9b393368f21e44
|
3 |
+
size 3899
|
checkpoint-12420/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: fp4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float32
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.5.0.dev0
|
checkpoint-12420/adapter_config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "models/TinyStories-33M",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 8,
|
11 |
+
"lora_dropout": 0.0,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 16,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"v_proj"
|
19 |
+
],
|
20 |
+
"task_type": "CAUSAL_LM"
|
21 |
+
}
|
checkpoint-12420/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:209158f1892bccba2617213b558a39d11cddd1e5136016bb669fc187b741f152
|
3 |
+
size 792353
|
checkpoint-12420/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:306b66f63a98bc0870cc880ebaf5b767253138b2e0f8e2badd78119ae6ed0284
|
3 |
+
size 1586873
|
checkpoint-12420/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8bb3860d98363e44bc4704fb9458deec927fd96997d1d09c80639070db959d22
|
3 |
+
size 14575
|
checkpoint-12420/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:67effef7e1527b34cecc0682500e658ff0a9d2cce8252039f87084b77aabfa5d
|
3 |
+
size 627
|
checkpoint-12420/trainer_state.json
ADDED
@@ -0,0 +1,760 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 9.703125,
|
5 |
+
"global_step": 12420,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.08,
|
12 |
+
"learning_rate": 0.0001,
|
13 |
+
"loss": 10.386,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.16,
|
18 |
+
"learning_rate": 0.0001,
|
19 |
+
"loss": 7.4061,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.23,
|
24 |
+
"learning_rate": 0.0001,
|
25 |
+
"loss": 6.4112,
|
26 |
+
"step": 300
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.31,
|
30 |
+
"learning_rate": 0.0001,
|
31 |
+
"loss": 6.091,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.39,
|
36 |
+
"learning_rate": 0.0001,
|
37 |
+
"loss": 5.8571,
|
38 |
+
"step": 500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.47,
|
42 |
+
"learning_rate": 0.0001,
|
43 |
+
"loss": 5.7144,
|
44 |
+
"step": 600
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.55,
|
48 |
+
"learning_rate": 0.0001,
|
49 |
+
"loss": 5.6228,
|
50 |
+
"step": 700
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.62,
|
54 |
+
"learning_rate": 0.0001,
|
55 |
+
"loss": 5.546,
|
56 |
+
"step": 800
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.7,
|
60 |
+
"learning_rate": 0.0001,
|
61 |
+
"loss": 5.4904,
|
62 |
+
"step": 900
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.78,
|
66 |
+
"learning_rate": 0.0001,
|
67 |
+
"loss": 5.4413,
|
68 |
+
"step": 1000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.86,
|
72 |
+
"learning_rate": 0.0001,
|
73 |
+
"loss": 5.3603,
|
74 |
+
"step": 1100
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.94,
|
78 |
+
"learning_rate": 0.0001,
|
79 |
+
"loss": 5.3346,
|
80 |
+
"step": 1200
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 1.02,
|
84 |
+
"learning_rate": 0.0001,
|
85 |
+
"loss": 5.2744,
|
86 |
+
"step": 1300
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.09,
|
90 |
+
"learning_rate": 0.0001,
|
91 |
+
"loss": 5.231,
|
92 |
+
"step": 1400
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 1.17,
|
96 |
+
"learning_rate": 0.0001,
|
97 |
+
"loss": 5.1782,
|
98 |
+
"step": 1500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.25,
|
102 |
+
"learning_rate": 0.0001,
|
103 |
+
"loss": 5.1613,
|
104 |
+
"step": 1600
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 1.33,
|
108 |
+
"learning_rate": 0.0001,
|
109 |
+
"loss": 5.1091,
|
110 |
+
"step": 1700
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 1.41,
|
114 |
+
"learning_rate": 0.0001,
|
115 |
+
"loss": 5.0939,
|
116 |
+
"step": 1800
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1.48,
|
120 |
+
"learning_rate": 0.0001,
|
121 |
+
"loss": 5.0667,
|
122 |
+
"step": 1900
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 1.56,
|
126 |
+
"learning_rate": 0.0001,
|
127 |
+
"loss": 5.0054,
|
128 |
+
"step": 2000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.64,
|
132 |
+
"learning_rate": 0.0001,
|
133 |
+
"loss": 4.96,
|
134 |
+
"step": 2100
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 1.72,
|
138 |
+
"learning_rate": 0.0001,
|
139 |
+
"loss": 4.9301,
|
140 |
+
"step": 2200
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.8,
|
144 |
+
"learning_rate": 0.0001,
|
145 |
+
"loss": 4.9302,
|
146 |
+
"step": 2300
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 1.88,
|
150 |
+
"learning_rate": 0.0001,
|
151 |
+
"loss": 4.9129,
|
152 |
+
"step": 2400
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 1.95,
|
156 |
+
"learning_rate": 0.0001,
|
157 |
+
"loss": 4.8627,
|
158 |
+
"step": 2500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 2.03,
|
162 |
+
"learning_rate": 0.0001,
|
163 |
+
"loss": 4.8336,
|
164 |
+
"step": 2600
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 2.11,
|
168 |
+
"learning_rate": 0.0001,
|
169 |
+
"loss": 4.8018,
|
170 |
+
"step": 2700
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 2.19,
|
174 |
+
"learning_rate": 0.0001,
|
175 |
+
"loss": 4.7479,
|
176 |
+
"step": 2800
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 2.27,
|
180 |
+
"learning_rate": 0.0001,
|
181 |
+
"loss": 4.7572,
|
182 |
+
"step": 2900
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 2.34,
|
186 |
+
"learning_rate": 0.0001,
|
187 |
+
"loss": 4.759,
|
188 |
+
"step": 3000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 2.42,
|
192 |
+
"learning_rate": 0.0001,
|
193 |
+
"loss": 4.7441,
|
194 |
+
"step": 3100
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 2.5,
|
198 |
+
"learning_rate": 0.0001,
|
199 |
+
"loss": 4.7195,
|
200 |
+
"step": 3200
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 2.58,
|
204 |
+
"learning_rate": 0.0001,
|
205 |
+
"loss": 4.6821,
|
206 |
+
"step": 3300
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 2.66,
|
210 |
+
"learning_rate": 0.0001,
|
211 |
+
"loss": 4.6587,
|
212 |
+
"step": 3400
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.73,
|
216 |
+
"learning_rate": 0.0001,
|
217 |
+
"loss": 4.6228,
|
218 |
+
"step": 3500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.81,
|
222 |
+
"learning_rate": 0.0001,
|
223 |
+
"loss": 4.6248,
|
224 |
+
"step": 3600
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.89,
|
228 |
+
"learning_rate": 0.0001,
|
229 |
+
"loss": 4.5801,
|
230 |
+
"step": 3700
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.97,
|
234 |
+
"learning_rate": 0.0001,
|
235 |
+
"loss": 4.5934,
|
236 |
+
"step": 3800
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 3.05,
|
240 |
+
"learning_rate": 0.0001,
|
241 |
+
"loss": 4.5781,
|
242 |
+
"step": 3900
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 3.12,
|
246 |
+
"learning_rate": 0.0001,
|
247 |
+
"loss": 4.5763,
|
248 |
+
"step": 4000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 3.2,
|
252 |
+
"learning_rate": 0.0001,
|
253 |
+
"loss": 4.5598,
|
254 |
+
"step": 4100
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 3.28,
|
258 |
+
"learning_rate": 0.0001,
|
259 |
+
"loss": 4.4796,
|
260 |
+
"step": 4200
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 3.36,
|
264 |
+
"learning_rate": 0.0001,
|
265 |
+
"loss": 4.5204,
|
266 |
+
"step": 4300
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 3.44,
|
270 |
+
"learning_rate": 0.0001,
|
271 |
+
"loss": 4.4858,
|
272 |
+
"step": 4400
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 3.52,
|
276 |
+
"learning_rate": 0.0001,
|
277 |
+
"loss": 4.4882,
|
278 |
+
"step": 4500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 3.59,
|
282 |
+
"learning_rate": 0.0001,
|
283 |
+
"loss": 4.4852,
|
284 |
+
"step": 4600
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 3.67,
|
288 |
+
"learning_rate": 0.0001,
|
289 |
+
"loss": 4.4302,
|
290 |
+
"step": 4700
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 3.75,
|
294 |
+
"learning_rate": 0.0001,
|
295 |
+
"loss": 4.4267,
|
296 |
+
"step": 4800
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 3.83,
|
300 |
+
"learning_rate": 0.0001,
|
301 |
+
"loss": 4.4298,
|
302 |
+
"step": 4900
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 3.91,
|
306 |
+
"learning_rate": 0.0001,
|
307 |
+
"loss": 4.3892,
|
308 |
+
"step": 5000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 3.98,
|
312 |
+
"learning_rate": 0.0001,
|
313 |
+
"loss": 4.3886,
|
314 |
+
"step": 5100
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 4.06,
|
318 |
+
"learning_rate": 0.0001,
|
319 |
+
"loss": 4.3915,
|
320 |
+
"step": 5200
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 4.14,
|
324 |
+
"learning_rate": 0.0001,
|
325 |
+
"loss": 4.3706,
|
326 |
+
"step": 5300
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 4.22,
|
330 |
+
"learning_rate": 0.0001,
|
331 |
+
"loss": 4.3528,
|
332 |
+
"step": 5400
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 4.3,
|
336 |
+
"learning_rate": 0.0001,
|
337 |
+
"loss": 4.3272,
|
338 |
+
"step": 5500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 4.38,
|
342 |
+
"learning_rate": 0.0001,
|
343 |
+
"loss": 4.3679,
|
344 |
+
"step": 5600
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 4.45,
|
348 |
+
"learning_rate": 0.0001,
|
349 |
+
"loss": 4.3608,
|
350 |
+
"step": 5700
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 4.53,
|
354 |
+
"learning_rate": 0.0001,
|
355 |
+
"loss": 4.3262,
|
356 |
+
"step": 5800
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 4.61,
|
360 |
+
"learning_rate": 0.0001,
|
361 |
+
"loss": 4.3097,
|
362 |
+
"step": 5900
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 4.69,
|
366 |
+
"learning_rate": 0.0001,
|
367 |
+
"loss": 4.2973,
|
368 |
+
"step": 6000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 4.77,
|
372 |
+
"learning_rate": 0.0001,
|
373 |
+
"loss": 4.2756,
|
374 |
+
"step": 6100
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 4.84,
|
378 |
+
"learning_rate": 0.0001,
|
379 |
+
"loss": 4.3174,
|
380 |
+
"step": 6200
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 4.92,
|
384 |
+
"learning_rate": 0.0001,
|
385 |
+
"loss": 4.2786,
|
386 |
+
"step": 6300
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 5.0,
|
390 |
+
"learning_rate": 0.0001,
|
391 |
+
"loss": 4.2484,
|
392 |
+
"step": 6400
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 5.08,
|
396 |
+
"learning_rate": 0.0001,
|
397 |
+
"loss": 4.2634,
|
398 |
+
"step": 6500
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 5.16,
|
402 |
+
"learning_rate": 0.0001,
|
403 |
+
"loss": 4.228,
|
404 |
+
"step": 6600
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 5.23,
|
408 |
+
"learning_rate": 0.0001,
|
409 |
+
"loss": 4.2745,
|
410 |
+
"step": 6700
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 5.31,
|
414 |
+
"learning_rate": 0.0001,
|
415 |
+
"loss": 4.2297,
|
416 |
+
"step": 6800
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 5.39,
|
420 |
+
"learning_rate": 0.0001,
|
421 |
+
"loss": 4.1989,
|
422 |
+
"step": 6900
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 5.47,
|
426 |
+
"learning_rate": 0.0001,
|
427 |
+
"loss": 4.2074,
|
428 |
+
"step": 7000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 5.55,
|
432 |
+
"learning_rate": 0.0001,
|
433 |
+
"loss": 4.201,
|
434 |
+
"step": 7100
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 5.62,
|
438 |
+
"learning_rate": 0.0001,
|
439 |
+
"loss": 4.2109,
|
440 |
+
"step": 7200
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 5.7,
|
444 |
+
"learning_rate": 0.0001,
|
445 |
+
"loss": 4.1945,
|
446 |
+
"step": 7300
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 5.78,
|
450 |
+
"learning_rate": 0.0001,
|
451 |
+
"loss": 4.1744,
|
452 |
+
"step": 7400
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 5.86,
|
456 |
+
"learning_rate": 0.0001,
|
457 |
+
"loss": 4.1741,
|
458 |
+
"step": 7500
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 5.94,
|
462 |
+
"learning_rate": 0.0001,
|
463 |
+
"loss": 4.19,
|
464 |
+
"step": 7600
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 6.02,
|
468 |
+
"learning_rate": 0.0001,
|
469 |
+
"loss": 4.1612,
|
470 |
+
"step": 7700
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 6.09,
|
474 |
+
"learning_rate": 0.0001,
|
475 |
+
"loss": 4.1559,
|
476 |
+
"step": 7800
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 6.17,
|
480 |
+
"learning_rate": 0.0001,
|
481 |
+
"loss": 4.1378,
|
482 |
+
"step": 7900
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 6.25,
|
486 |
+
"learning_rate": 0.0001,
|
487 |
+
"loss": 4.144,
|
488 |
+
"step": 8000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 6.33,
|
492 |
+
"learning_rate": 0.0001,
|
493 |
+
"loss": 4.1601,
|
494 |
+
"step": 8100
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 6.41,
|
498 |
+
"learning_rate": 0.0001,
|
499 |
+
"loss": 4.1339,
|
500 |
+
"step": 8200
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 6.48,
|
504 |
+
"learning_rate": 0.0001,
|
505 |
+
"loss": 4.13,
|
506 |
+
"step": 8300
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 6.56,
|
510 |
+
"learning_rate": 0.0001,
|
511 |
+
"loss": 4.0877,
|
512 |
+
"step": 8400
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 6.64,
|
516 |
+
"learning_rate": 0.0001,
|
517 |
+
"loss": 4.1022,
|
518 |
+
"step": 8500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 6.72,
|
522 |
+
"learning_rate": 0.0001,
|
523 |
+
"loss": 4.1034,
|
524 |
+
"step": 8600
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 6.8,
|
528 |
+
"learning_rate": 0.0001,
|
529 |
+
"loss": 4.091,
|
530 |
+
"step": 8700
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 6.88,
|
534 |
+
"learning_rate": 0.0001,
|
535 |
+
"loss": 4.0914,
|
536 |
+
"step": 8800
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 6.95,
|
540 |
+
"learning_rate": 0.0001,
|
541 |
+
"loss": 4.0937,
|
542 |
+
"step": 8900
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 7.03,
|
546 |
+
"learning_rate": 0.0001,
|
547 |
+
"loss": 4.0897,
|
548 |
+
"step": 9000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 7.11,
|
552 |
+
"learning_rate": 0.0001,
|
553 |
+
"loss": 4.0844,
|
554 |
+
"step": 9100
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 7.19,
|
558 |
+
"learning_rate": 0.0001,
|
559 |
+
"loss": 4.0574,
|
560 |
+
"step": 9200
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 7.27,
|
564 |
+
"learning_rate": 0.0001,
|
565 |
+
"loss": 4.0837,
|
566 |
+
"step": 9300
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 7.34,
|
570 |
+
"learning_rate": 0.0001,
|
571 |
+
"loss": 4.0766,
|
572 |
+
"step": 9400
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 7.42,
|
576 |
+
"learning_rate": 0.0001,
|
577 |
+
"loss": 4.066,
|
578 |
+
"step": 9500
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 7.5,
|
582 |
+
"learning_rate": 0.0001,
|
583 |
+
"loss": 3.9944,
|
584 |
+
"step": 9600
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 7.58,
|
588 |
+
"learning_rate": 0.0001,
|
589 |
+
"loss": 4.0126,
|
590 |
+
"step": 9700
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 7.66,
|
594 |
+
"learning_rate": 0.0001,
|
595 |
+
"loss": 4.0273,
|
596 |
+
"step": 9800
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 7.73,
|
600 |
+
"learning_rate": 0.0001,
|
601 |
+
"loss": 4.0706,
|
602 |
+
"step": 9900
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 7.81,
|
606 |
+
"learning_rate": 0.0001,
|
607 |
+
"loss": 4.0008,
|
608 |
+
"step": 10000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 7.89,
|
612 |
+
"learning_rate": 0.0001,
|
613 |
+
"loss": 4.0323,
|
614 |
+
"step": 10100
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 7.97,
|
618 |
+
"learning_rate": 0.0001,
|
619 |
+
"loss": 3.9864,
|
620 |
+
"step": 10200
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 8.05,
|
624 |
+
"learning_rate": 0.0001,
|
625 |
+
"loss": 4.0265,
|
626 |
+
"step": 10300
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 8.12,
|
630 |
+
"learning_rate": 0.0001,
|
631 |
+
"loss": 3.9874,
|
632 |
+
"step": 10400
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 8.2,
|
636 |
+
"learning_rate": 0.0001,
|
637 |
+
"loss": 3.9839,
|
638 |
+
"step": 10500
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 8.28,
|
642 |
+
"learning_rate": 0.0001,
|
643 |
+
"loss": 3.9583,
|
644 |
+
"step": 10600
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 8.36,
|
648 |
+
"learning_rate": 0.0001,
|
649 |
+
"loss": 4.007,
|
650 |
+
"step": 10700
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 8.44,
|
654 |
+
"learning_rate": 0.0001,
|
655 |
+
"loss": 3.9567,
|
656 |
+
"step": 10800
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 8.52,
|
660 |
+
"learning_rate": 0.0001,
|
661 |
+
"loss": 3.9888,
|
662 |
+
"step": 10900
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 8.59,
|
666 |
+
"learning_rate": 0.0001,
|
667 |
+
"loss": 3.9993,
|
668 |
+
"step": 11000
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 8.67,
|
672 |
+
"learning_rate": 0.0001,
|
673 |
+
"loss": 3.9914,
|
674 |
+
"step": 11100
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 8.75,
|
678 |
+
"learning_rate": 0.0001,
|
679 |
+
"loss": 4.0094,
|
680 |
+
"step": 11200
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 8.83,
|
684 |
+
"learning_rate": 0.0001,
|
685 |
+
"loss": 3.9338,
|
686 |
+
"step": 11300
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 8.91,
|
690 |
+
"learning_rate": 0.0001,
|
691 |
+
"loss": 3.9472,
|
692 |
+
"step": 11400
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 8.98,
|
696 |
+
"learning_rate": 0.0001,
|
697 |
+
"loss": 3.9595,
|
698 |
+
"step": 11500
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 9.06,
|
702 |
+
"learning_rate": 0.0001,
|
703 |
+
"loss": 3.9545,
|
704 |
+
"step": 11600
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 9.14,
|
708 |
+
"learning_rate": 0.0001,
|
709 |
+
"loss": 3.993,
|
710 |
+
"step": 11700
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 9.22,
|
714 |
+
"learning_rate": 0.0001,
|
715 |
+
"loss": 3.895,
|
716 |
+
"step": 11800
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 9.3,
|
720 |
+
"learning_rate": 0.0001,
|
721 |
+
"loss": 3.9527,
|
722 |
+
"step": 11900
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 9.38,
|
726 |
+
"learning_rate": 0.0001,
|
727 |
+
"loss": 3.9205,
|
728 |
+
"step": 12000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 9.45,
|
732 |
+
"learning_rate": 0.0001,
|
733 |
+
"loss": 3.914,
|
734 |
+
"step": 12100
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 9.53,
|
738 |
+
"learning_rate": 0.0001,
|
739 |
+
"loss": 3.8872,
|
740 |
+
"step": 12200
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 9.61,
|
744 |
+
"learning_rate": 0.0001,
|
745 |
+
"loss": 3.9171,
|
746 |
+
"step": 12300
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 9.69,
|
750 |
+
"learning_rate": 0.0001,
|
751 |
+
"loss": 3.9148,
|
752 |
+
"step": 12400
|
753 |
+
}
|
754 |
+
],
|
755 |
+
"max_steps": 12800,
|
756 |
+
"num_train_epochs": 10,
|
757 |
+
"total_flos": 9292082437785600.0,
|
758 |
+
"trial_name": null,
|
759 |
+
"trial_params": null
|
760 |
+
}
|
checkpoint-12420/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e683e2614c4dcf1ee5d4bfe9622ed2cfdbf3faf9319855e4a9b393368f21e44
|
3 |
+
size 3899
|
checkpoint-12450/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: fp4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float32
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.5.0.dev0
|
checkpoint-12450/adapter_config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "models/TinyStories-33M",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 8,
|
11 |
+
"lora_dropout": 0.0,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 16,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"v_proj"
|
19 |
+
],
|
20 |
+
"task_type": "CAUSAL_LM"
|
21 |
+
}
|
checkpoint-12450/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:31656b0458422251ad42a99d942ee864bd478e658dc330893b815d1bb5af7fb4
|
3 |
+
size 792353
|
checkpoint-12450/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ad54a640ed5e53747f52caa10179f60dd135cc0ae48257cdf042352a7a6e6ee0
|
3 |
+
size 1586873
|
checkpoint-12450/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8bb3860d98363e44bc4704fb9458deec927fd96997d1d09c80639070db959d22
|
3 |
+
size 14575
|
checkpoint-12450/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a3d27439df90a9a7352314b9b8e368610f9dd675c06874da737b447cd1bc3435
|
3 |
+
size 627
|
checkpoint-12450/trainer_state.json
ADDED
@@ -0,0 +1,760 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 9.7265625,
|
5 |
+
"global_step": 12450,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.08,
|
12 |
+
"learning_rate": 0.0001,
|
13 |
+
"loss": 10.386,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.16,
|
18 |
+
"learning_rate": 0.0001,
|
19 |
+
"loss": 7.4061,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.23,
|
24 |
+
"learning_rate": 0.0001,
|
25 |
+
"loss": 6.4112,
|
26 |
+
"step": 300
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.31,
|
30 |
+
"learning_rate": 0.0001,
|
31 |
+
"loss": 6.091,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.39,
|
36 |
+
"learning_rate": 0.0001,
|
37 |
+
"loss": 5.8571,
|
38 |
+
"step": 500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.47,
|
42 |
+
"learning_rate": 0.0001,
|
43 |
+
"loss": 5.7144,
|
44 |
+
"step": 600
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.55,
|
48 |
+
"learning_rate": 0.0001,
|
49 |
+
"loss": 5.6228,
|
50 |
+
"step": 700
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.62,
|
54 |
+
"learning_rate": 0.0001,
|
55 |
+
"loss": 5.546,
|
56 |
+
"step": 800
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.7,
|
60 |
+
"learning_rate": 0.0001,
|
61 |
+
"loss": 5.4904,
|
62 |
+
"step": 900
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.78,
|
66 |
+
"learning_rate": 0.0001,
|
67 |
+
"loss": 5.4413,
|
68 |
+
"step": 1000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.86,
|
72 |
+
"learning_rate": 0.0001,
|
73 |
+
"loss": 5.3603,
|
74 |
+
"step": 1100
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.94,
|
78 |
+
"learning_rate": 0.0001,
|
79 |
+
"loss": 5.3346,
|
80 |
+
"step": 1200
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 1.02,
|
84 |
+
"learning_rate": 0.0001,
|
85 |
+
"loss": 5.2744,
|
86 |
+
"step": 1300
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.09,
|
90 |
+
"learning_rate": 0.0001,
|
91 |
+
"loss": 5.231,
|
92 |
+
"step": 1400
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 1.17,
|
96 |
+
"learning_rate": 0.0001,
|
97 |
+
"loss": 5.1782,
|
98 |
+
"step": 1500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.25,
|
102 |
+
"learning_rate": 0.0001,
|
103 |
+
"loss": 5.1613,
|
104 |
+
"step": 1600
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 1.33,
|
108 |
+
"learning_rate": 0.0001,
|
109 |
+
"loss": 5.1091,
|
110 |
+
"step": 1700
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 1.41,
|
114 |
+
"learning_rate": 0.0001,
|
115 |
+
"loss": 5.0939,
|
116 |
+
"step": 1800
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1.48,
|
120 |
+
"learning_rate": 0.0001,
|
121 |
+
"loss": 5.0667,
|
122 |
+
"step": 1900
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 1.56,
|
126 |
+
"learning_rate": 0.0001,
|
127 |
+
"loss": 5.0054,
|
128 |
+
"step": 2000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.64,
|
132 |
+
"learning_rate": 0.0001,
|
133 |
+
"loss": 4.96,
|
134 |
+
"step": 2100
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 1.72,
|
138 |
+
"learning_rate": 0.0001,
|
139 |
+
"loss": 4.9301,
|
140 |
+
"step": 2200
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.8,
|
144 |
+
"learning_rate": 0.0001,
|
145 |
+
"loss": 4.9302,
|
146 |
+
"step": 2300
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 1.88,
|
150 |
+
"learning_rate": 0.0001,
|
151 |
+
"loss": 4.9129,
|
152 |
+
"step": 2400
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 1.95,
|
156 |
+
"learning_rate": 0.0001,
|
157 |
+
"loss": 4.8627,
|
158 |
+
"step": 2500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 2.03,
|
162 |
+
"learning_rate": 0.0001,
|
163 |
+
"loss": 4.8336,
|
164 |
+
"step": 2600
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 2.11,
|
168 |
+
"learning_rate": 0.0001,
|
169 |
+
"loss": 4.8018,
|
170 |
+
"step": 2700
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 2.19,
|
174 |
+
"learning_rate": 0.0001,
|
175 |
+
"loss": 4.7479,
|
176 |
+
"step": 2800
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 2.27,
|
180 |
+
"learning_rate": 0.0001,
|
181 |
+
"loss": 4.7572,
|
182 |
+
"step": 2900
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 2.34,
|
186 |
+
"learning_rate": 0.0001,
|
187 |
+
"loss": 4.759,
|
188 |
+
"step": 3000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 2.42,
|
192 |
+
"learning_rate": 0.0001,
|
193 |
+
"loss": 4.7441,
|
194 |
+
"step": 3100
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 2.5,
|
198 |
+
"learning_rate": 0.0001,
|
199 |
+
"loss": 4.7195,
|
200 |
+
"step": 3200
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 2.58,
|
204 |
+
"learning_rate": 0.0001,
|
205 |
+
"loss": 4.6821,
|
206 |
+
"step": 3300
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 2.66,
|
210 |
+
"learning_rate": 0.0001,
|
211 |
+
"loss": 4.6587,
|
212 |
+
"step": 3400
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.73,
|
216 |
+
"learning_rate": 0.0001,
|
217 |
+
"loss": 4.6228,
|
218 |
+
"step": 3500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.81,
|
222 |
+
"learning_rate": 0.0001,
|
223 |
+
"loss": 4.6248,
|
224 |
+
"step": 3600
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.89,
|
228 |
+
"learning_rate": 0.0001,
|
229 |
+
"loss": 4.5801,
|
230 |
+
"step": 3700
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.97,
|
234 |
+
"learning_rate": 0.0001,
|
235 |
+
"loss": 4.5934,
|
236 |
+
"step": 3800
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 3.05,
|
240 |
+
"learning_rate": 0.0001,
|
241 |
+
"loss": 4.5781,
|
242 |
+
"step": 3900
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 3.12,
|
246 |
+
"learning_rate": 0.0001,
|
247 |
+
"loss": 4.5763,
|
248 |
+
"step": 4000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 3.2,
|
252 |
+
"learning_rate": 0.0001,
|
253 |
+
"loss": 4.5598,
|
254 |
+
"step": 4100
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 3.28,
|
258 |
+
"learning_rate": 0.0001,
|
259 |
+
"loss": 4.4796,
|
260 |
+
"step": 4200
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 3.36,
|
264 |
+
"learning_rate": 0.0001,
|
265 |
+
"loss": 4.5204,
|
266 |
+
"step": 4300
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 3.44,
|
270 |
+
"learning_rate": 0.0001,
|
271 |
+
"loss": 4.4858,
|
272 |
+
"step": 4400
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 3.52,
|
276 |
+
"learning_rate": 0.0001,
|
277 |
+
"loss": 4.4882,
|
278 |
+
"step": 4500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 3.59,
|
282 |
+
"learning_rate": 0.0001,
|
283 |
+
"loss": 4.4852,
|
284 |
+
"step": 4600
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 3.67,
|
288 |
+
"learning_rate": 0.0001,
|
289 |
+
"loss": 4.4302,
|
290 |
+
"step": 4700
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 3.75,
|
294 |
+
"learning_rate": 0.0001,
|
295 |
+
"loss": 4.4267,
|
296 |
+
"step": 4800
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 3.83,
|
300 |
+
"learning_rate": 0.0001,
|
301 |
+
"loss": 4.4298,
|
302 |
+
"step": 4900
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 3.91,
|
306 |
+
"learning_rate": 0.0001,
|
307 |
+
"loss": 4.3892,
|
308 |
+
"step": 5000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 3.98,
|
312 |
+
"learning_rate": 0.0001,
|
313 |
+
"loss": 4.3886,
|
314 |
+
"step": 5100
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 4.06,
|
318 |
+
"learning_rate": 0.0001,
|
319 |
+
"loss": 4.3915,
|
320 |
+
"step": 5200
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 4.14,
|
324 |
+
"learning_rate": 0.0001,
|
325 |
+
"loss": 4.3706,
|
326 |
+
"step": 5300
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 4.22,
|
330 |
+
"learning_rate": 0.0001,
|
331 |
+
"loss": 4.3528,
|
332 |
+
"step": 5400
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 4.3,
|
336 |
+
"learning_rate": 0.0001,
|
337 |
+
"loss": 4.3272,
|
338 |
+
"step": 5500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 4.38,
|
342 |
+
"learning_rate": 0.0001,
|
343 |
+
"loss": 4.3679,
|
344 |
+
"step": 5600
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 4.45,
|
348 |
+
"learning_rate": 0.0001,
|
349 |
+
"loss": 4.3608,
|
350 |
+
"step": 5700
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 4.53,
|
354 |
+
"learning_rate": 0.0001,
|
355 |
+
"loss": 4.3262,
|
356 |
+
"step": 5800
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 4.61,
|
360 |
+
"learning_rate": 0.0001,
|
361 |
+
"loss": 4.3097,
|
362 |
+
"step": 5900
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 4.69,
|
366 |
+
"learning_rate": 0.0001,
|
367 |
+
"loss": 4.2973,
|
368 |
+
"step": 6000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 4.77,
|
372 |
+
"learning_rate": 0.0001,
|
373 |
+
"loss": 4.2756,
|
374 |
+
"step": 6100
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 4.84,
|
378 |
+
"learning_rate": 0.0001,
|
379 |
+
"loss": 4.3174,
|
380 |
+
"step": 6200
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 4.92,
|
384 |
+
"learning_rate": 0.0001,
|
385 |
+
"loss": 4.2786,
|
386 |
+
"step": 6300
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 5.0,
|
390 |
+
"learning_rate": 0.0001,
|
391 |
+
"loss": 4.2484,
|
392 |
+
"step": 6400
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 5.08,
|
396 |
+
"learning_rate": 0.0001,
|
397 |
+
"loss": 4.2634,
|
398 |
+
"step": 6500
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 5.16,
|
402 |
+
"learning_rate": 0.0001,
|
403 |
+
"loss": 4.228,
|
404 |
+
"step": 6600
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 5.23,
|
408 |
+
"learning_rate": 0.0001,
|
409 |
+
"loss": 4.2745,
|
410 |
+
"step": 6700
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 5.31,
|
414 |
+
"learning_rate": 0.0001,
|
415 |
+
"loss": 4.2297,
|
416 |
+
"step": 6800
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 5.39,
|
420 |
+
"learning_rate": 0.0001,
|
421 |
+
"loss": 4.1989,
|
422 |
+
"step": 6900
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 5.47,
|
426 |
+
"learning_rate": 0.0001,
|
427 |
+
"loss": 4.2074,
|
428 |
+
"step": 7000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 5.55,
|
432 |
+
"learning_rate": 0.0001,
|
433 |
+
"loss": 4.201,
|
434 |
+
"step": 7100
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 5.62,
|
438 |
+
"learning_rate": 0.0001,
|
439 |
+
"loss": 4.2109,
|
440 |
+
"step": 7200
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 5.7,
|
444 |
+
"learning_rate": 0.0001,
|
445 |
+
"loss": 4.1945,
|
446 |
+
"step": 7300
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 5.78,
|
450 |
+
"learning_rate": 0.0001,
|
451 |
+
"loss": 4.1744,
|
452 |
+
"step": 7400
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 5.86,
|
456 |
+
"learning_rate": 0.0001,
|
457 |
+
"loss": 4.1741,
|
458 |
+
"step": 7500
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 5.94,
|
462 |
+
"learning_rate": 0.0001,
|
463 |
+
"loss": 4.19,
|
464 |
+
"step": 7600
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 6.02,
|
468 |
+
"learning_rate": 0.0001,
|
469 |
+
"loss": 4.1612,
|
470 |
+
"step": 7700
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 6.09,
|
474 |
+
"learning_rate": 0.0001,
|
475 |
+
"loss": 4.1559,
|
476 |
+
"step": 7800
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 6.17,
|
480 |
+
"learning_rate": 0.0001,
|
481 |
+
"loss": 4.1378,
|
482 |
+
"step": 7900
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 6.25,
|
486 |
+
"learning_rate": 0.0001,
|
487 |
+
"loss": 4.144,
|
488 |
+
"step": 8000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 6.33,
|
492 |
+
"learning_rate": 0.0001,
|
493 |
+
"loss": 4.1601,
|
494 |
+
"step": 8100
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 6.41,
|
498 |
+
"learning_rate": 0.0001,
|
499 |
+
"loss": 4.1339,
|
500 |
+
"step": 8200
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 6.48,
|
504 |
+
"learning_rate": 0.0001,
|
505 |
+
"loss": 4.13,
|
506 |
+
"step": 8300
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 6.56,
|
510 |
+
"learning_rate": 0.0001,
|
511 |
+
"loss": 4.0877,
|
512 |
+
"step": 8400
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 6.64,
|
516 |
+
"learning_rate": 0.0001,
|
517 |
+
"loss": 4.1022,
|
518 |
+
"step": 8500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 6.72,
|
522 |
+
"learning_rate": 0.0001,
|
523 |
+
"loss": 4.1034,
|
524 |
+
"step": 8600
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 6.8,
|
528 |
+
"learning_rate": 0.0001,
|
529 |
+
"loss": 4.091,
|
530 |
+
"step": 8700
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 6.88,
|
534 |
+
"learning_rate": 0.0001,
|
535 |
+
"loss": 4.0914,
|
536 |
+
"step": 8800
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 6.95,
|
540 |
+
"learning_rate": 0.0001,
|
541 |
+
"loss": 4.0937,
|
542 |
+
"step": 8900
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 7.03,
|
546 |
+
"learning_rate": 0.0001,
|
547 |
+
"loss": 4.0897,
|
548 |
+
"step": 9000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 7.11,
|
552 |
+
"learning_rate": 0.0001,
|
553 |
+
"loss": 4.0844,
|
554 |
+
"step": 9100
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 7.19,
|
558 |
+
"learning_rate": 0.0001,
|
559 |
+
"loss": 4.0574,
|
560 |
+
"step": 9200
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 7.27,
|
564 |
+
"learning_rate": 0.0001,
|
565 |
+
"loss": 4.0837,
|
566 |
+
"step": 9300
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 7.34,
|
570 |
+
"learning_rate": 0.0001,
|
571 |
+
"loss": 4.0766,
|
572 |
+
"step": 9400
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 7.42,
|
576 |
+
"learning_rate": 0.0001,
|
577 |
+
"loss": 4.066,
|
578 |
+
"step": 9500
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 7.5,
|
582 |
+
"learning_rate": 0.0001,
|
583 |
+
"loss": 3.9944,
|
584 |
+
"step": 9600
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 7.58,
|
588 |
+
"learning_rate": 0.0001,
|
589 |
+
"loss": 4.0126,
|
590 |
+
"step": 9700
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 7.66,
|
594 |
+
"learning_rate": 0.0001,
|
595 |
+
"loss": 4.0273,
|
596 |
+
"step": 9800
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 7.73,
|
600 |
+
"learning_rate": 0.0001,
|
601 |
+
"loss": 4.0706,
|
602 |
+
"step": 9900
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 7.81,
|
606 |
+
"learning_rate": 0.0001,
|
607 |
+
"loss": 4.0008,
|
608 |
+
"step": 10000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 7.89,
|
612 |
+
"learning_rate": 0.0001,
|
613 |
+
"loss": 4.0323,
|
614 |
+
"step": 10100
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 7.97,
|
618 |
+
"learning_rate": 0.0001,
|
619 |
+
"loss": 3.9864,
|
620 |
+
"step": 10200
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 8.05,
|
624 |
+
"learning_rate": 0.0001,
|
625 |
+
"loss": 4.0265,
|
626 |
+
"step": 10300
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 8.12,
|
630 |
+
"learning_rate": 0.0001,
|
631 |
+
"loss": 3.9874,
|
632 |
+
"step": 10400
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 8.2,
|
636 |
+
"learning_rate": 0.0001,
|
637 |
+
"loss": 3.9839,
|
638 |
+
"step": 10500
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 8.28,
|
642 |
+
"learning_rate": 0.0001,
|
643 |
+
"loss": 3.9583,
|
644 |
+
"step": 10600
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 8.36,
|
648 |
+
"learning_rate": 0.0001,
|
649 |
+
"loss": 4.007,
|
650 |
+
"step": 10700
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 8.44,
|
654 |
+
"learning_rate": 0.0001,
|
655 |
+
"loss": 3.9567,
|
656 |
+
"step": 10800
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 8.52,
|
660 |
+
"learning_rate": 0.0001,
|
661 |
+
"loss": 3.9888,
|
662 |
+
"step": 10900
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 8.59,
|
666 |
+
"learning_rate": 0.0001,
|
667 |
+
"loss": 3.9993,
|
668 |
+
"step": 11000
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 8.67,
|
672 |
+
"learning_rate": 0.0001,
|
673 |
+
"loss": 3.9914,
|
674 |
+
"step": 11100
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 8.75,
|
678 |
+
"learning_rate": 0.0001,
|
679 |
+
"loss": 4.0094,
|
680 |
+
"step": 11200
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 8.83,
|
684 |
+
"learning_rate": 0.0001,
|
685 |
+
"loss": 3.9338,
|
686 |
+
"step": 11300
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 8.91,
|
690 |
+
"learning_rate": 0.0001,
|
691 |
+
"loss": 3.9472,
|
692 |
+
"step": 11400
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 8.98,
|
696 |
+
"learning_rate": 0.0001,
|
697 |
+
"loss": 3.9595,
|
698 |
+
"step": 11500
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 9.06,
|
702 |
+
"learning_rate": 0.0001,
|
703 |
+
"loss": 3.9545,
|
704 |
+
"step": 11600
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 9.14,
|
708 |
+
"learning_rate": 0.0001,
|
709 |
+
"loss": 3.993,
|
710 |
+
"step": 11700
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 9.22,
|
714 |
+
"learning_rate": 0.0001,
|
715 |
+
"loss": 3.895,
|
716 |
+
"step": 11800
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 9.3,
|
720 |
+
"learning_rate": 0.0001,
|
721 |
+
"loss": 3.9527,
|
722 |
+
"step": 11900
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 9.38,
|
726 |
+
"learning_rate": 0.0001,
|
727 |
+
"loss": 3.9205,
|
728 |
+
"step": 12000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 9.45,
|
732 |
+
"learning_rate": 0.0001,
|
733 |
+
"loss": 3.914,
|
734 |
+
"step": 12100
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 9.53,
|
738 |
+
"learning_rate": 0.0001,
|
739 |
+
"loss": 3.8872,
|
740 |
+
"step": 12200
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 9.61,
|
744 |
+
"learning_rate": 0.0001,
|
745 |
+
"loss": 3.9171,
|
746 |
+
"step": 12300
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 9.69,
|
750 |
+
"learning_rate": 0.0001,
|
751 |
+
"loss": 3.9148,
|
752 |
+
"step": 12400
|
753 |
+
}
|
754 |
+
],
|
755 |
+
"max_steps": 12800,
|
756 |
+
"num_train_epochs": 10,
|
757 |
+
"total_flos": 9314514190632960.0,
|
758 |
+
"trial_name": null,
|
759 |
+
"trial_params": null
|
760 |
+
}
|
checkpoint-12450/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e683e2614c4dcf1ee5d4bfe9622ed2cfdbf3faf9319855e4a9b393368f21e44
|
3 |
+
size 3899
|
checkpoint-12480/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: fp4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float32
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.5.0.dev0
|
checkpoint-12480/adapter_config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "models/TinyStories-33M",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 8,
|
11 |
+
"lora_dropout": 0.0,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 16,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"v_proj"
|
19 |
+
],
|
20 |
+
"task_type": "CAUSAL_LM"
|
21 |
+
}
|
checkpoint-12480/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e59da02aba0ecff94c22170bd5085bbb8e5bac87f5689bde7d13318ccaa683d4
|
3 |
+
size 792353
|
checkpoint-12480/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:78af0f47d42de1be9f4882eb373ce9f1a2130d3396b4ad2d8ee94886ef73ad3a
|
3 |
+
size 1586873
|
checkpoint-12480/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8bb3860d98363e44bc4704fb9458deec927fd96997d1d09c80639070db959d22
|
3 |
+
size 14575
|
checkpoint-12480/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f07aed61c9e1af3e6872c4649dbcbdb2c02eaa0deb0ce84f1b9db4bec9454439
|
3 |
+
size 627
|
checkpoint-12480/trainer_state.json
ADDED
@@ -0,0 +1,760 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 9.75,
|
5 |
+
"global_step": 12480,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.08,
|
12 |
+
"learning_rate": 0.0001,
|
13 |
+
"loss": 10.386,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.16,
|
18 |
+
"learning_rate": 0.0001,
|
19 |
+
"loss": 7.4061,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.23,
|
24 |
+
"learning_rate": 0.0001,
|
25 |
+
"loss": 6.4112,
|
26 |
+
"step": 300
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.31,
|
30 |
+
"learning_rate": 0.0001,
|
31 |
+
"loss": 6.091,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.39,
|
36 |
+
"learning_rate": 0.0001,
|
37 |
+
"loss": 5.8571,
|
38 |
+
"step": 500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.47,
|
42 |
+
"learning_rate": 0.0001,
|
43 |
+
"loss": 5.7144,
|
44 |
+
"step": 600
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.55,
|
48 |
+
"learning_rate": 0.0001,
|
49 |
+
"loss": 5.6228,
|
50 |
+
"step": 700
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.62,
|
54 |
+
"learning_rate": 0.0001,
|
55 |
+
"loss": 5.546,
|
56 |
+
"step": 800
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.7,
|
60 |
+
"learning_rate": 0.0001,
|
61 |
+
"loss": 5.4904,
|
62 |
+
"step": 900
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.78,
|
66 |
+
"learning_rate": 0.0001,
|
67 |
+
"loss": 5.4413,
|
68 |
+
"step": 1000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.86,
|
72 |
+
"learning_rate": 0.0001,
|
73 |
+
"loss": 5.3603,
|
74 |
+
"step": 1100
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.94,
|
78 |
+
"learning_rate": 0.0001,
|
79 |
+
"loss": 5.3346,
|
80 |
+
"step": 1200
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 1.02,
|
84 |
+
"learning_rate": 0.0001,
|
85 |
+
"loss": 5.2744,
|
86 |
+
"step": 1300
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.09,
|
90 |
+
"learning_rate": 0.0001,
|
91 |
+
"loss": 5.231,
|
92 |
+
"step": 1400
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 1.17,
|
96 |
+
"learning_rate": 0.0001,
|
97 |
+
"loss": 5.1782,
|
98 |
+
"step": 1500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.25,
|
102 |
+
"learning_rate": 0.0001,
|
103 |
+
"loss": 5.1613,
|
104 |
+
"step": 1600
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 1.33,
|
108 |
+
"learning_rate": 0.0001,
|
109 |
+
"loss": 5.1091,
|
110 |
+
"step": 1700
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 1.41,
|
114 |
+
"learning_rate": 0.0001,
|
115 |
+
"loss": 5.0939,
|
116 |
+
"step": 1800
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1.48,
|
120 |
+
"learning_rate": 0.0001,
|
121 |
+
"loss": 5.0667,
|
122 |
+
"step": 1900
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 1.56,
|
126 |
+
"learning_rate": 0.0001,
|
127 |
+
"loss": 5.0054,
|
128 |
+
"step": 2000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.64,
|
132 |
+
"learning_rate": 0.0001,
|
133 |
+
"loss": 4.96,
|
134 |
+
"step": 2100
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 1.72,
|
138 |
+
"learning_rate": 0.0001,
|
139 |
+
"loss": 4.9301,
|
140 |
+
"step": 2200
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.8,
|
144 |
+
"learning_rate": 0.0001,
|
145 |
+
"loss": 4.9302,
|
146 |
+
"step": 2300
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 1.88,
|
150 |
+
"learning_rate": 0.0001,
|
151 |
+
"loss": 4.9129,
|
152 |
+
"step": 2400
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 1.95,
|
156 |
+
"learning_rate": 0.0001,
|
157 |
+
"loss": 4.8627,
|
158 |
+
"step": 2500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 2.03,
|
162 |
+
"learning_rate": 0.0001,
|
163 |
+
"loss": 4.8336,
|
164 |
+
"step": 2600
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 2.11,
|
168 |
+
"learning_rate": 0.0001,
|
169 |
+
"loss": 4.8018,
|
170 |
+
"step": 2700
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 2.19,
|
174 |
+
"learning_rate": 0.0001,
|
175 |
+
"loss": 4.7479,
|
176 |
+
"step": 2800
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 2.27,
|
180 |
+
"learning_rate": 0.0001,
|
181 |
+
"loss": 4.7572,
|
182 |
+
"step": 2900
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 2.34,
|
186 |
+
"learning_rate": 0.0001,
|
187 |
+
"loss": 4.759,
|
188 |
+
"step": 3000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 2.42,
|
192 |
+
"learning_rate": 0.0001,
|
193 |
+
"loss": 4.7441,
|
194 |
+
"step": 3100
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 2.5,
|
198 |
+
"learning_rate": 0.0001,
|
199 |
+
"loss": 4.7195,
|
200 |
+
"step": 3200
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 2.58,
|
204 |
+
"learning_rate": 0.0001,
|
205 |
+
"loss": 4.6821,
|
206 |
+
"step": 3300
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 2.66,
|
210 |
+
"learning_rate": 0.0001,
|
211 |
+
"loss": 4.6587,
|
212 |
+
"step": 3400
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.73,
|
216 |
+
"learning_rate": 0.0001,
|
217 |
+
"loss": 4.6228,
|
218 |
+
"step": 3500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.81,
|
222 |
+
"learning_rate": 0.0001,
|
223 |
+
"loss": 4.6248,
|
224 |
+
"step": 3600
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.89,
|
228 |
+
"learning_rate": 0.0001,
|
229 |
+
"loss": 4.5801,
|
230 |
+
"step": 3700
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.97,
|
234 |
+
"learning_rate": 0.0001,
|
235 |
+
"loss": 4.5934,
|
236 |
+
"step": 3800
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 3.05,
|
240 |
+
"learning_rate": 0.0001,
|
241 |
+
"loss": 4.5781,
|
242 |
+
"step": 3900
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 3.12,
|
246 |
+
"learning_rate": 0.0001,
|
247 |
+
"loss": 4.5763,
|
248 |
+
"step": 4000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 3.2,
|
252 |
+
"learning_rate": 0.0001,
|
253 |
+
"loss": 4.5598,
|
254 |
+
"step": 4100
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 3.28,
|
258 |
+
"learning_rate": 0.0001,
|
259 |
+
"loss": 4.4796,
|
260 |
+
"step": 4200
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 3.36,
|
264 |
+
"learning_rate": 0.0001,
|
265 |
+
"loss": 4.5204,
|
266 |
+
"step": 4300
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 3.44,
|
270 |
+
"learning_rate": 0.0001,
|
271 |
+
"loss": 4.4858,
|
272 |
+
"step": 4400
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 3.52,
|
276 |
+
"learning_rate": 0.0001,
|
277 |
+
"loss": 4.4882,
|
278 |
+
"step": 4500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 3.59,
|
282 |
+
"learning_rate": 0.0001,
|
283 |
+
"loss": 4.4852,
|
284 |
+
"step": 4600
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 3.67,
|
288 |
+
"learning_rate": 0.0001,
|
289 |
+
"loss": 4.4302,
|
290 |
+
"step": 4700
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 3.75,
|
294 |
+
"learning_rate": 0.0001,
|
295 |
+
"loss": 4.4267,
|
296 |
+
"step": 4800
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 3.83,
|
300 |
+
"learning_rate": 0.0001,
|
301 |
+
"loss": 4.4298,
|
302 |
+
"step": 4900
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 3.91,
|
306 |
+
"learning_rate": 0.0001,
|
307 |
+
"loss": 4.3892,
|
308 |
+
"step": 5000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 3.98,
|
312 |
+
"learning_rate": 0.0001,
|
313 |
+
"loss": 4.3886,
|
314 |
+
"step": 5100
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 4.06,
|
318 |
+
"learning_rate": 0.0001,
|
319 |
+
"loss": 4.3915,
|
320 |
+
"step": 5200
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 4.14,
|
324 |
+
"learning_rate": 0.0001,
|
325 |
+
"loss": 4.3706,
|
326 |
+
"step": 5300
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 4.22,
|
330 |
+
"learning_rate": 0.0001,
|
331 |
+
"loss": 4.3528,
|
332 |
+
"step": 5400
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 4.3,
|
336 |
+
"learning_rate": 0.0001,
|
337 |
+
"loss": 4.3272,
|
338 |
+
"step": 5500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 4.38,
|
342 |
+
"learning_rate": 0.0001,
|
343 |
+
"loss": 4.3679,
|
344 |
+
"step": 5600
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 4.45,
|
348 |
+
"learning_rate": 0.0001,
|
349 |
+
"loss": 4.3608,
|
350 |
+
"step": 5700
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 4.53,
|
354 |
+
"learning_rate": 0.0001,
|
355 |
+
"loss": 4.3262,
|
356 |
+
"step": 5800
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 4.61,
|
360 |
+
"learning_rate": 0.0001,
|
361 |
+
"loss": 4.3097,
|
362 |
+
"step": 5900
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 4.69,
|
366 |
+
"learning_rate": 0.0001,
|
367 |
+
"loss": 4.2973,
|
368 |
+
"step": 6000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 4.77,
|
372 |
+
"learning_rate": 0.0001,
|
373 |
+
"loss": 4.2756,
|
374 |
+
"step": 6100
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 4.84,
|
378 |
+
"learning_rate": 0.0001,
|
379 |
+
"loss": 4.3174,
|
380 |
+
"step": 6200
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 4.92,
|
384 |
+
"learning_rate": 0.0001,
|
385 |
+
"loss": 4.2786,
|
386 |
+
"step": 6300
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 5.0,
|
390 |
+
"learning_rate": 0.0001,
|
391 |
+
"loss": 4.2484,
|
392 |
+
"step": 6400
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 5.08,
|
396 |
+
"learning_rate": 0.0001,
|
397 |
+
"loss": 4.2634,
|
398 |
+
"step": 6500
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 5.16,
|
402 |
+
"learning_rate": 0.0001,
|
403 |
+
"loss": 4.228,
|
404 |
+
"step": 6600
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 5.23,
|
408 |
+
"learning_rate": 0.0001,
|
409 |
+
"loss": 4.2745,
|
410 |
+
"step": 6700
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 5.31,
|
414 |
+
"learning_rate": 0.0001,
|
415 |
+
"loss": 4.2297,
|
416 |
+
"step": 6800
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 5.39,
|
420 |
+
"learning_rate": 0.0001,
|
421 |
+
"loss": 4.1989,
|
422 |
+
"step": 6900
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 5.47,
|
426 |
+
"learning_rate": 0.0001,
|
427 |
+
"loss": 4.2074,
|
428 |
+
"step": 7000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 5.55,
|
432 |
+
"learning_rate": 0.0001,
|
433 |
+
"loss": 4.201,
|
434 |
+
"step": 7100
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 5.62,
|
438 |
+
"learning_rate": 0.0001,
|
439 |
+
"loss": 4.2109,
|
440 |
+
"step": 7200
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 5.7,
|
444 |
+
"learning_rate": 0.0001,
|
445 |
+
"loss": 4.1945,
|
446 |
+
"step": 7300
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 5.78,
|
450 |
+
"learning_rate": 0.0001,
|
451 |
+
"loss": 4.1744,
|
452 |
+
"step": 7400
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 5.86,
|
456 |
+
"learning_rate": 0.0001,
|
457 |
+
"loss": 4.1741,
|
458 |
+
"step": 7500
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 5.94,
|
462 |
+
"learning_rate": 0.0001,
|
463 |
+
"loss": 4.19,
|
464 |
+
"step": 7600
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 6.02,
|
468 |
+
"learning_rate": 0.0001,
|
469 |
+
"loss": 4.1612,
|
470 |
+
"step": 7700
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 6.09,
|
474 |
+
"learning_rate": 0.0001,
|
475 |
+
"loss": 4.1559,
|
476 |
+
"step": 7800
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 6.17,
|
480 |
+
"learning_rate": 0.0001,
|
481 |
+
"loss": 4.1378,
|
482 |
+
"step": 7900
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 6.25,
|
486 |
+
"learning_rate": 0.0001,
|
487 |
+
"loss": 4.144,
|
488 |
+
"step": 8000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 6.33,
|
492 |
+
"learning_rate": 0.0001,
|
493 |
+
"loss": 4.1601,
|
494 |
+
"step": 8100
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 6.41,
|
498 |
+
"learning_rate": 0.0001,
|
499 |
+
"loss": 4.1339,
|
500 |
+
"step": 8200
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 6.48,
|
504 |
+
"learning_rate": 0.0001,
|
505 |
+
"loss": 4.13,
|
506 |
+
"step": 8300
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 6.56,
|
510 |
+
"learning_rate": 0.0001,
|
511 |
+
"loss": 4.0877,
|
512 |
+
"step": 8400
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 6.64,
|
516 |
+
"learning_rate": 0.0001,
|
517 |
+
"loss": 4.1022,
|
518 |
+
"step": 8500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 6.72,
|
522 |
+
"learning_rate": 0.0001,
|
523 |
+
"loss": 4.1034,
|
524 |
+
"step": 8600
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 6.8,
|
528 |
+
"learning_rate": 0.0001,
|
529 |
+
"loss": 4.091,
|
530 |
+
"step": 8700
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 6.88,
|
534 |
+
"learning_rate": 0.0001,
|
535 |
+
"loss": 4.0914,
|
536 |
+
"step": 8800
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 6.95,
|
540 |
+
"learning_rate": 0.0001,
|
541 |
+
"loss": 4.0937,
|
542 |
+
"step": 8900
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 7.03,
|
546 |
+
"learning_rate": 0.0001,
|
547 |
+
"loss": 4.0897,
|
548 |
+
"step": 9000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 7.11,
|
552 |
+
"learning_rate": 0.0001,
|
553 |
+
"loss": 4.0844,
|
554 |
+
"step": 9100
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 7.19,
|
558 |
+
"learning_rate": 0.0001,
|
559 |
+
"loss": 4.0574,
|
560 |
+
"step": 9200
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 7.27,
|
564 |
+
"learning_rate": 0.0001,
|
565 |
+
"loss": 4.0837,
|
566 |
+
"step": 9300
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 7.34,
|
570 |
+
"learning_rate": 0.0001,
|
571 |
+
"loss": 4.0766,
|
572 |
+
"step": 9400
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 7.42,
|
576 |
+
"learning_rate": 0.0001,
|
577 |
+
"loss": 4.066,
|
578 |
+
"step": 9500
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 7.5,
|
582 |
+
"learning_rate": 0.0001,
|
583 |
+
"loss": 3.9944,
|
584 |
+
"step": 9600
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 7.58,
|
588 |
+
"learning_rate": 0.0001,
|
589 |
+
"loss": 4.0126,
|
590 |
+
"step": 9700
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 7.66,
|
594 |
+
"learning_rate": 0.0001,
|
595 |
+
"loss": 4.0273,
|
596 |
+
"step": 9800
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 7.73,
|
600 |
+
"learning_rate": 0.0001,
|
601 |
+
"loss": 4.0706,
|
602 |
+
"step": 9900
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 7.81,
|
606 |
+
"learning_rate": 0.0001,
|
607 |
+
"loss": 4.0008,
|
608 |
+
"step": 10000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 7.89,
|
612 |
+
"learning_rate": 0.0001,
|
613 |
+
"loss": 4.0323,
|
614 |
+
"step": 10100
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 7.97,
|
618 |
+
"learning_rate": 0.0001,
|
619 |
+
"loss": 3.9864,
|
620 |
+
"step": 10200
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 8.05,
|
624 |
+
"learning_rate": 0.0001,
|
625 |
+
"loss": 4.0265,
|
626 |
+
"step": 10300
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 8.12,
|
630 |
+
"learning_rate": 0.0001,
|
631 |
+
"loss": 3.9874,
|
632 |
+
"step": 10400
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 8.2,
|
636 |
+
"learning_rate": 0.0001,
|
637 |
+
"loss": 3.9839,
|
638 |
+
"step": 10500
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 8.28,
|
642 |
+
"learning_rate": 0.0001,
|
643 |
+
"loss": 3.9583,
|
644 |
+
"step": 10600
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 8.36,
|
648 |
+
"learning_rate": 0.0001,
|
649 |
+
"loss": 4.007,
|
650 |
+
"step": 10700
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 8.44,
|
654 |
+
"learning_rate": 0.0001,
|
655 |
+
"loss": 3.9567,
|
656 |
+
"step": 10800
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 8.52,
|
660 |
+
"learning_rate": 0.0001,
|
661 |
+
"loss": 3.9888,
|
662 |
+
"step": 10900
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 8.59,
|
666 |
+
"learning_rate": 0.0001,
|
667 |
+
"loss": 3.9993,
|
668 |
+
"step": 11000
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 8.67,
|
672 |
+
"learning_rate": 0.0001,
|
673 |
+
"loss": 3.9914,
|
674 |
+
"step": 11100
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 8.75,
|
678 |
+
"learning_rate": 0.0001,
|
679 |
+
"loss": 4.0094,
|
680 |
+
"step": 11200
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 8.83,
|
684 |
+
"learning_rate": 0.0001,
|
685 |
+
"loss": 3.9338,
|
686 |
+
"step": 11300
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 8.91,
|
690 |
+
"learning_rate": 0.0001,
|
691 |
+
"loss": 3.9472,
|
692 |
+
"step": 11400
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 8.98,
|
696 |
+
"learning_rate": 0.0001,
|
697 |
+
"loss": 3.9595,
|
698 |
+
"step": 11500
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 9.06,
|
702 |
+
"learning_rate": 0.0001,
|
703 |
+
"loss": 3.9545,
|
704 |
+
"step": 11600
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 9.14,
|
708 |
+
"learning_rate": 0.0001,
|
709 |
+
"loss": 3.993,
|
710 |
+
"step": 11700
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 9.22,
|
714 |
+
"learning_rate": 0.0001,
|
715 |
+
"loss": 3.895,
|
716 |
+
"step": 11800
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 9.3,
|
720 |
+
"learning_rate": 0.0001,
|
721 |
+
"loss": 3.9527,
|
722 |
+
"step": 11900
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 9.38,
|
726 |
+
"learning_rate": 0.0001,
|
727 |
+
"loss": 3.9205,
|
728 |
+
"step": 12000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 9.45,
|
732 |
+
"learning_rate": 0.0001,
|
733 |
+
"loss": 3.914,
|
734 |
+
"step": 12100
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 9.53,
|
738 |
+
"learning_rate": 0.0001,
|
739 |
+
"loss": 3.8872,
|
740 |
+
"step": 12200
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 9.61,
|
744 |
+
"learning_rate": 0.0001,
|
745 |
+
"loss": 3.9171,
|
746 |
+
"step": 12300
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 9.69,
|
750 |
+
"learning_rate": 0.0001,
|
751 |
+
"loss": 3.9148,
|
752 |
+
"step": 12400
|
753 |
+
}
|
754 |
+
],
|
755 |
+
"max_steps": 12800,
|
756 |
+
"num_train_epochs": 10,
|
757 |
+
"total_flos": 9336653187287040.0,
|
758 |
+
"trial_name": null,
|
759 |
+
"trial_params": null
|
760 |
+
}
|
checkpoint-12480/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e683e2614c4dcf1ee5d4bfe9622ed2cfdbf3faf9319855e4a9b393368f21e44
|
3 |
+
size 3899
|
checkpoint-12510/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: fp4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float32
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.5.0.dev0
|
checkpoint-12510/adapter_config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "models/TinyStories-33M",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 8,
|
11 |
+
"lora_dropout": 0.0,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 16,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"v_proj"
|
19 |
+
],
|
20 |
+
"task_type": "CAUSAL_LM"
|
21 |
+
}
|
checkpoint-12510/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b948a1d9a656951f8d37c2a23f3fef23ec4359f73d94eb2c5083218d521774ba
|
3 |
+
size 792353
|
checkpoint-12510/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5c4677e1bd62cddb8d9dda555f90a9ba7f55b880e4cba14ceac1778354d9796f
|
3 |
+
size 1586873
|
checkpoint-12510/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8bb3860d98363e44bc4704fb9458deec927fd96997d1d09c80639070db959d22
|
3 |
+
size 14575
|
checkpoint-12510/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:226c5739a6beb840fe019bb17102960eab6abdb587f0b62865030f81daa87392
|
3 |
+
size 627
|
checkpoint-12510/trainer_state.json
ADDED
@@ -0,0 +1,766 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 9.7734375,
|
5 |
+
"global_step": 12510,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.08,
|
12 |
+
"learning_rate": 0.0001,
|
13 |
+
"loss": 10.386,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.16,
|
18 |
+
"learning_rate": 0.0001,
|
19 |
+
"loss": 7.4061,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.23,
|
24 |
+
"learning_rate": 0.0001,
|
25 |
+
"loss": 6.4112,
|
26 |
+
"step": 300
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.31,
|
30 |
+
"learning_rate": 0.0001,
|
31 |
+
"loss": 6.091,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.39,
|
36 |
+
"learning_rate": 0.0001,
|
37 |
+
"loss": 5.8571,
|
38 |
+
"step": 500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.47,
|
42 |
+
"learning_rate": 0.0001,
|
43 |
+
"loss": 5.7144,
|
44 |
+
"step": 600
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.55,
|
48 |
+
"learning_rate": 0.0001,
|
49 |
+
"loss": 5.6228,
|
50 |
+
"step": 700
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.62,
|
54 |
+
"learning_rate": 0.0001,
|
55 |
+
"loss": 5.546,
|
56 |
+
"step": 800
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.7,
|
60 |
+
"learning_rate": 0.0001,
|
61 |
+
"loss": 5.4904,
|
62 |
+
"step": 900
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.78,
|
66 |
+
"learning_rate": 0.0001,
|
67 |
+
"loss": 5.4413,
|
68 |
+
"step": 1000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.86,
|
72 |
+
"learning_rate": 0.0001,
|
73 |
+
"loss": 5.3603,
|
74 |
+
"step": 1100
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.94,
|
78 |
+
"learning_rate": 0.0001,
|
79 |
+
"loss": 5.3346,
|
80 |
+
"step": 1200
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 1.02,
|
84 |
+
"learning_rate": 0.0001,
|
85 |
+
"loss": 5.2744,
|
86 |
+
"step": 1300
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.09,
|
90 |
+
"learning_rate": 0.0001,
|
91 |
+
"loss": 5.231,
|
92 |
+
"step": 1400
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 1.17,
|
96 |
+
"learning_rate": 0.0001,
|
97 |
+
"loss": 5.1782,
|
98 |
+
"step": 1500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.25,
|
102 |
+
"learning_rate": 0.0001,
|
103 |
+
"loss": 5.1613,
|
104 |
+
"step": 1600
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 1.33,
|
108 |
+
"learning_rate": 0.0001,
|
109 |
+
"loss": 5.1091,
|
110 |
+
"step": 1700
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 1.41,
|
114 |
+
"learning_rate": 0.0001,
|
115 |
+
"loss": 5.0939,
|
116 |
+
"step": 1800
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1.48,
|
120 |
+
"learning_rate": 0.0001,
|
121 |
+
"loss": 5.0667,
|
122 |
+
"step": 1900
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 1.56,
|
126 |
+
"learning_rate": 0.0001,
|
127 |
+
"loss": 5.0054,
|
128 |
+
"step": 2000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.64,
|
132 |
+
"learning_rate": 0.0001,
|
133 |
+
"loss": 4.96,
|
134 |
+
"step": 2100
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 1.72,
|
138 |
+
"learning_rate": 0.0001,
|
139 |
+
"loss": 4.9301,
|
140 |
+
"step": 2200
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.8,
|
144 |
+
"learning_rate": 0.0001,
|
145 |
+
"loss": 4.9302,
|
146 |
+
"step": 2300
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 1.88,
|
150 |
+
"learning_rate": 0.0001,
|
151 |
+
"loss": 4.9129,
|
152 |
+
"step": 2400
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 1.95,
|
156 |
+
"learning_rate": 0.0001,
|
157 |
+
"loss": 4.8627,
|
158 |
+
"step": 2500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 2.03,
|
162 |
+
"learning_rate": 0.0001,
|
163 |
+
"loss": 4.8336,
|
164 |
+
"step": 2600
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 2.11,
|
168 |
+
"learning_rate": 0.0001,
|
169 |
+
"loss": 4.8018,
|
170 |
+
"step": 2700
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 2.19,
|
174 |
+
"learning_rate": 0.0001,
|
175 |
+
"loss": 4.7479,
|
176 |
+
"step": 2800
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 2.27,
|
180 |
+
"learning_rate": 0.0001,
|
181 |
+
"loss": 4.7572,
|
182 |
+
"step": 2900
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 2.34,
|
186 |
+
"learning_rate": 0.0001,
|
187 |
+
"loss": 4.759,
|
188 |
+
"step": 3000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 2.42,
|
192 |
+
"learning_rate": 0.0001,
|
193 |
+
"loss": 4.7441,
|
194 |
+
"step": 3100
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 2.5,
|
198 |
+
"learning_rate": 0.0001,
|
199 |
+
"loss": 4.7195,
|
200 |
+
"step": 3200
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 2.58,
|
204 |
+
"learning_rate": 0.0001,
|
205 |
+
"loss": 4.6821,
|
206 |
+
"step": 3300
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 2.66,
|
210 |
+
"learning_rate": 0.0001,
|
211 |
+
"loss": 4.6587,
|
212 |
+
"step": 3400
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.73,
|
216 |
+
"learning_rate": 0.0001,
|
217 |
+
"loss": 4.6228,
|
218 |
+
"step": 3500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.81,
|
222 |
+
"learning_rate": 0.0001,
|
223 |
+
"loss": 4.6248,
|
224 |
+
"step": 3600
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.89,
|
228 |
+
"learning_rate": 0.0001,
|
229 |
+
"loss": 4.5801,
|
230 |
+
"step": 3700
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.97,
|
234 |
+
"learning_rate": 0.0001,
|
235 |
+
"loss": 4.5934,
|
236 |
+
"step": 3800
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 3.05,
|
240 |
+
"learning_rate": 0.0001,
|
241 |
+
"loss": 4.5781,
|
242 |
+
"step": 3900
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 3.12,
|
246 |
+
"learning_rate": 0.0001,
|
247 |
+
"loss": 4.5763,
|
248 |
+
"step": 4000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 3.2,
|
252 |
+
"learning_rate": 0.0001,
|
253 |
+
"loss": 4.5598,
|
254 |
+
"step": 4100
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 3.28,
|
258 |
+
"learning_rate": 0.0001,
|
259 |
+
"loss": 4.4796,
|
260 |
+
"step": 4200
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 3.36,
|
264 |
+
"learning_rate": 0.0001,
|
265 |
+
"loss": 4.5204,
|
266 |
+
"step": 4300
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 3.44,
|
270 |
+
"learning_rate": 0.0001,
|
271 |
+
"loss": 4.4858,
|
272 |
+
"step": 4400
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 3.52,
|
276 |
+
"learning_rate": 0.0001,
|
277 |
+
"loss": 4.4882,
|
278 |
+
"step": 4500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 3.59,
|
282 |
+
"learning_rate": 0.0001,
|
283 |
+
"loss": 4.4852,
|
284 |
+
"step": 4600
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 3.67,
|
288 |
+
"learning_rate": 0.0001,
|
289 |
+
"loss": 4.4302,
|
290 |
+
"step": 4700
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 3.75,
|
294 |
+
"learning_rate": 0.0001,
|
295 |
+
"loss": 4.4267,
|
296 |
+
"step": 4800
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 3.83,
|
300 |
+
"learning_rate": 0.0001,
|
301 |
+
"loss": 4.4298,
|
302 |
+
"step": 4900
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 3.91,
|
306 |
+
"learning_rate": 0.0001,
|
307 |
+
"loss": 4.3892,
|
308 |
+
"step": 5000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 3.98,
|
312 |
+
"learning_rate": 0.0001,
|
313 |
+
"loss": 4.3886,
|
314 |
+
"step": 5100
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 4.06,
|
318 |
+
"learning_rate": 0.0001,
|
319 |
+
"loss": 4.3915,
|
320 |
+
"step": 5200
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 4.14,
|
324 |
+
"learning_rate": 0.0001,
|
325 |
+
"loss": 4.3706,
|
326 |
+
"step": 5300
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 4.22,
|
330 |
+
"learning_rate": 0.0001,
|
331 |
+
"loss": 4.3528,
|
332 |
+
"step": 5400
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 4.3,
|
336 |
+
"learning_rate": 0.0001,
|
337 |
+
"loss": 4.3272,
|
338 |
+
"step": 5500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 4.38,
|
342 |
+
"learning_rate": 0.0001,
|
343 |
+
"loss": 4.3679,
|
344 |
+
"step": 5600
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 4.45,
|
348 |
+
"learning_rate": 0.0001,
|
349 |
+
"loss": 4.3608,
|
350 |
+
"step": 5700
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 4.53,
|
354 |
+
"learning_rate": 0.0001,
|
355 |
+
"loss": 4.3262,
|
356 |
+
"step": 5800
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 4.61,
|
360 |
+
"learning_rate": 0.0001,
|
361 |
+
"loss": 4.3097,
|
362 |
+
"step": 5900
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 4.69,
|
366 |
+
"learning_rate": 0.0001,
|
367 |
+
"loss": 4.2973,
|
368 |
+
"step": 6000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 4.77,
|
372 |
+
"learning_rate": 0.0001,
|
373 |
+
"loss": 4.2756,
|
374 |
+
"step": 6100
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 4.84,
|
378 |
+
"learning_rate": 0.0001,
|
379 |
+
"loss": 4.3174,
|
380 |
+
"step": 6200
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 4.92,
|
384 |
+
"learning_rate": 0.0001,
|
385 |
+
"loss": 4.2786,
|
386 |
+
"step": 6300
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 5.0,
|
390 |
+
"learning_rate": 0.0001,
|
391 |
+
"loss": 4.2484,
|
392 |
+
"step": 6400
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 5.08,
|
396 |
+
"learning_rate": 0.0001,
|
397 |
+
"loss": 4.2634,
|
398 |
+
"step": 6500
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 5.16,
|
402 |
+
"learning_rate": 0.0001,
|
403 |
+
"loss": 4.228,
|
404 |
+
"step": 6600
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 5.23,
|
408 |
+
"learning_rate": 0.0001,
|
409 |
+
"loss": 4.2745,
|
410 |
+
"step": 6700
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 5.31,
|
414 |
+
"learning_rate": 0.0001,
|
415 |
+
"loss": 4.2297,
|
416 |
+
"step": 6800
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 5.39,
|
420 |
+
"learning_rate": 0.0001,
|
421 |
+
"loss": 4.1989,
|
422 |
+
"step": 6900
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 5.47,
|
426 |
+
"learning_rate": 0.0001,
|
427 |
+
"loss": 4.2074,
|
428 |
+
"step": 7000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 5.55,
|
432 |
+
"learning_rate": 0.0001,
|
433 |
+
"loss": 4.201,
|
434 |
+
"step": 7100
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 5.62,
|
438 |
+
"learning_rate": 0.0001,
|
439 |
+
"loss": 4.2109,
|
440 |
+
"step": 7200
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 5.7,
|
444 |
+
"learning_rate": 0.0001,
|
445 |
+
"loss": 4.1945,
|
446 |
+
"step": 7300
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 5.78,
|
450 |
+
"learning_rate": 0.0001,
|
451 |
+
"loss": 4.1744,
|
452 |
+
"step": 7400
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 5.86,
|
456 |
+
"learning_rate": 0.0001,
|
457 |
+
"loss": 4.1741,
|
458 |
+
"step": 7500
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 5.94,
|
462 |
+
"learning_rate": 0.0001,
|
463 |
+
"loss": 4.19,
|
464 |
+
"step": 7600
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 6.02,
|
468 |
+
"learning_rate": 0.0001,
|
469 |
+
"loss": 4.1612,
|
470 |
+
"step": 7700
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 6.09,
|
474 |
+
"learning_rate": 0.0001,
|
475 |
+
"loss": 4.1559,
|
476 |
+
"step": 7800
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 6.17,
|
480 |
+
"learning_rate": 0.0001,
|
481 |
+
"loss": 4.1378,
|
482 |
+
"step": 7900
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 6.25,
|
486 |
+
"learning_rate": 0.0001,
|
487 |
+
"loss": 4.144,
|
488 |
+
"step": 8000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 6.33,
|
492 |
+
"learning_rate": 0.0001,
|
493 |
+
"loss": 4.1601,
|
494 |
+
"step": 8100
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 6.41,
|
498 |
+
"learning_rate": 0.0001,
|
499 |
+
"loss": 4.1339,
|
500 |
+
"step": 8200
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 6.48,
|
504 |
+
"learning_rate": 0.0001,
|
505 |
+
"loss": 4.13,
|
506 |
+
"step": 8300
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 6.56,
|
510 |
+
"learning_rate": 0.0001,
|
511 |
+
"loss": 4.0877,
|
512 |
+
"step": 8400
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 6.64,
|
516 |
+
"learning_rate": 0.0001,
|
517 |
+
"loss": 4.1022,
|
518 |
+
"step": 8500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 6.72,
|
522 |
+
"learning_rate": 0.0001,
|
523 |
+
"loss": 4.1034,
|
524 |
+
"step": 8600
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 6.8,
|
528 |
+
"learning_rate": 0.0001,
|
529 |
+
"loss": 4.091,
|
530 |
+
"step": 8700
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 6.88,
|
534 |
+
"learning_rate": 0.0001,
|
535 |
+
"loss": 4.0914,
|
536 |
+
"step": 8800
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 6.95,
|
540 |
+
"learning_rate": 0.0001,
|
541 |
+
"loss": 4.0937,
|
542 |
+
"step": 8900
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 7.03,
|
546 |
+
"learning_rate": 0.0001,
|
547 |
+
"loss": 4.0897,
|
548 |
+
"step": 9000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 7.11,
|
552 |
+
"learning_rate": 0.0001,
|
553 |
+
"loss": 4.0844,
|
554 |
+
"step": 9100
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 7.19,
|
558 |
+
"learning_rate": 0.0001,
|
559 |
+
"loss": 4.0574,
|
560 |
+
"step": 9200
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 7.27,
|
564 |
+
"learning_rate": 0.0001,
|
565 |
+
"loss": 4.0837,
|
566 |
+
"step": 9300
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 7.34,
|
570 |
+
"learning_rate": 0.0001,
|
571 |
+
"loss": 4.0766,
|
572 |
+
"step": 9400
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 7.42,
|
576 |
+
"learning_rate": 0.0001,
|
577 |
+
"loss": 4.066,
|
578 |
+
"step": 9500
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 7.5,
|
582 |
+
"learning_rate": 0.0001,
|
583 |
+
"loss": 3.9944,
|
584 |
+
"step": 9600
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 7.58,
|
588 |
+
"learning_rate": 0.0001,
|
589 |
+
"loss": 4.0126,
|
590 |
+
"step": 9700
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 7.66,
|
594 |
+
"learning_rate": 0.0001,
|
595 |
+
"loss": 4.0273,
|
596 |
+
"step": 9800
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 7.73,
|
600 |
+
"learning_rate": 0.0001,
|
601 |
+
"loss": 4.0706,
|
602 |
+
"step": 9900
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 7.81,
|
606 |
+
"learning_rate": 0.0001,
|
607 |
+
"loss": 4.0008,
|
608 |
+
"step": 10000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 7.89,
|
612 |
+
"learning_rate": 0.0001,
|
613 |
+
"loss": 4.0323,
|
614 |
+
"step": 10100
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 7.97,
|
618 |
+
"learning_rate": 0.0001,
|
619 |
+
"loss": 3.9864,
|
620 |
+
"step": 10200
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 8.05,
|
624 |
+
"learning_rate": 0.0001,
|
625 |
+
"loss": 4.0265,
|
626 |
+
"step": 10300
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 8.12,
|
630 |
+
"learning_rate": 0.0001,
|
631 |
+
"loss": 3.9874,
|
632 |
+
"step": 10400
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 8.2,
|
636 |
+
"learning_rate": 0.0001,
|
637 |
+
"loss": 3.9839,
|
638 |
+
"step": 10500
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 8.28,
|
642 |
+
"learning_rate": 0.0001,
|
643 |
+
"loss": 3.9583,
|
644 |
+
"step": 10600
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 8.36,
|
648 |
+
"learning_rate": 0.0001,
|
649 |
+
"loss": 4.007,
|
650 |
+
"step": 10700
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 8.44,
|
654 |
+
"learning_rate": 0.0001,
|
655 |
+
"loss": 3.9567,
|
656 |
+
"step": 10800
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 8.52,
|
660 |
+
"learning_rate": 0.0001,
|
661 |
+
"loss": 3.9888,
|
662 |
+
"step": 10900
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 8.59,
|
666 |
+
"learning_rate": 0.0001,
|
667 |
+
"loss": 3.9993,
|
668 |
+
"step": 11000
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 8.67,
|
672 |
+
"learning_rate": 0.0001,
|
673 |
+
"loss": 3.9914,
|
674 |
+
"step": 11100
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 8.75,
|
678 |
+
"learning_rate": 0.0001,
|
679 |
+
"loss": 4.0094,
|
680 |
+
"step": 11200
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 8.83,
|
684 |
+
"learning_rate": 0.0001,
|
685 |
+
"loss": 3.9338,
|
686 |
+
"step": 11300
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 8.91,
|
690 |
+
"learning_rate": 0.0001,
|
691 |
+
"loss": 3.9472,
|
692 |
+
"step": 11400
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 8.98,
|
696 |
+
"learning_rate": 0.0001,
|
697 |
+
"loss": 3.9595,
|
698 |
+
"step": 11500
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 9.06,
|
702 |
+
"learning_rate": 0.0001,
|
703 |
+
"loss": 3.9545,
|
704 |
+
"step": 11600
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 9.14,
|
708 |
+
"learning_rate": 0.0001,
|
709 |
+
"loss": 3.993,
|
710 |
+
"step": 11700
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 9.22,
|
714 |
+
"learning_rate": 0.0001,
|
715 |
+
"loss": 3.895,
|
716 |
+
"step": 11800
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 9.3,
|
720 |
+
"learning_rate": 0.0001,
|
721 |
+
"loss": 3.9527,
|
722 |
+
"step": 11900
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 9.38,
|
726 |
+
"learning_rate": 0.0001,
|
727 |
+
"loss": 3.9205,
|
728 |
+
"step": 12000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 9.45,
|
732 |
+
"learning_rate": 0.0001,
|
733 |
+
"loss": 3.914,
|
734 |
+
"step": 12100
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 9.53,
|
738 |
+
"learning_rate": 0.0001,
|
739 |
+
"loss": 3.8872,
|
740 |
+
"step": 12200
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 9.61,
|
744 |
+
"learning_rate": 0.0001,
|
745 |
+
"loss": 3.9171,
|
746 |
+
"step": 12300
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 9.69,
|
750 |
+
"learning_rate": 0.0001,
|
751 |
+
"loss": 3.9148,
|
752 |
+
"step": 12400
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 9.77,
|
756 |
+
"learning_rate": 0.0001,
|
757 |
+
"loss": 3.9181,
|
758 |
+
"step": 12500
|
759 |
+
}
|
760 |
+
],
|
761 |
+
"max_steps": 12800,
|
762 |
+
"num_train_epochs": 10,
|
763 |
+
"total_flos": 9357159930071040.0,
|
764 |
+
"trial_name": null,
|
765 |
+
"trial_params": null
|
766 |
+
}
|