Model save
Browse files- README.md +69 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- runs/Sep29_11-01-28_82b7fdadb1f8/events.out.tfevents.1727607812.82b7fdadb1f8.605856.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +666 -0
README.md
ADDED
@@ -0,0 +1,69 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: mistralai/Mistral-7B-v0.3
|
3 |
+
datasets:
|
4 |
+
- generator
|
5 |
+
library_name: peft
|
6 |
+
license: apache-2.0
|
7 |
+
tags:
|
8 |
+
- trl
|
9 |
+
- sft
|
10 |
+
- generated_from_trainer
|
11 |
+
model-index:
|
12 |
+
- name: mistral-7b-0.3-gpt4o_100k_summarize-k2
|
13 |
+
results: []
|
14 |
+
---
|
15 |
+
|
16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
17 |
+
should probably proofread and complete it, then remove this comment. -->
|
18 |
+
|
19 |
+
# mistral-7b-0.3-gpt4o_100k_summarize-k2
|
20 |
+
|
21 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the generator dataset.
|
22 |
+
It achieves the following results on the evaluation set:
|
23 |
+
- Loss: 1.8284
|
24 |
+
|
25 |
+
## Model description
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Intended uses & limitations
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training and evaluation data
|
34 |
+
|
35 |
+
More information needed
|
36 |
+
|
37 |
+
## Training procedure
|
38 |
+
|
39 |
+
### Training hyperparameters
|
40 |
+
|
41 |
+
The following hyperparameters were used during training:
|
42 |
+
- learning_rate: 0.0002
|
43 |
+
- train_batch_size: 2
|
44 |
+
- eval_batch_size: 2
|
45 |
+
- seed: 42
|
46 |
+
- distributed_type: multi-GPU
|
47 |
+
- num_devices: 8
|
48 |
+
- gradient_accumulation_steps: 2
|
49 |
+
- total_train_batch_size: 32
|
50 |
+
- total_eval_batch_size: 16
|
51 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
52 |
+
- lr_scheduler_type: cosine
|
53 |
+
- lr_scheduler_warmup_ratio: 0.1
|
54 |
+
- num_epochs: 1
|
55 |
+
|
56 |
+
### Training results
|
57 |
+
|
58 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
59 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
60 |
+
| 0.7244 | 1.0 | 438 | 1.8284 |
|
61 |
+
|
62 |
+
|
63 |
+
### Framework versions
|
64 |
+
|
65 |
+
- PEFT 0.13.1.dev0
|
66 |
+
- Transformers 4.45.1
|
67 |
+
- Pytorch 2.4.1+cu121
|
68 |
+
- Datasets 3.0.1
|
69 |
+
- Tokenizers 0.20.0
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1087481480
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8181bbdfd4daa5530c101398751bbce9af498d0fd14c816681857dc39b0498d4
|
3 |
size 1087481480
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 6.128949620228751e+17,
|
4 |
+
"train_loss": 0.7978243280763495,
|
5 |
+
"train_runtime": 3115.8127,
|
6 |
+
"train_samples": 115376,
|
7 |
+
"train_samples_per_second": 4.494,
|
8 |
+
"train_steps_per_second": 0.141
|
9 |
+
}
|
runs/Sep29_11-01-28_82b7fdadb1f8/events.out.tfevents.1727607812.82b7fdadb1f8.605856.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0dbf1053d568a49c471f80eaf5cecf0bb7019218cd29615a1a43da35922f38d4
|
3 |
+
size 25099
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 6.128949620228751e+17,
|
4 |
+
"train_loss": 0.7978243280763495,
|
5 |
+
"train_runtime": 3115.8127,
|
6 |
+
"train_samples": 115376,
|
7 |
+
"train_samples_per_second": 4.494,
|
8 |
+
"train_steps_per_second": 0.141
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,666 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 438,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.00228310502283105,
|
13 |
+
"grad_norm": 6.537960529327393,
|
14 |
+
"learning_rate": 4.5454545454545455e-06,
|
15 |
+
"loss": 1.8099,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.01141552511415525,
|
20 |
+
"grad_norm": 6.545882225036621,
|
21 |
+
"learning_rate": 2.272727272727273e-05,
|
22 |
+
"loss": 1.7378,
|
23 |
+
"step": 5
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.0228310502283105,
|
27 |
+
"grad_norm": 4.1666693687438965,
|
28 |
+
"learning_rate": 4.545454545454546e-05,
|
29 |
+
"loss": 1.5963,
|
30 |
+
"step": 10
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.03424657534246575,
|
34 |
+
"grad_norm": 2.742569923400879,
|
35 |
+
"learning_rate": 6.818181818181818e-05,
|
36 |
+
"loss": 1.36,
|
37 |
+
"step": 15
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.045662100456621,
|
41 |
+
"grad_norm": 1.3173938989639282,
|
42 |
+
"learning_rate": 9.090909090909092e-05,
|
43 |
+
"loss": 1.2028,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.05707762557077625,
|
48 |
+
"grad_norm": 1.3680421113967896,
|
49 |
+
"learning_rate": 0.00011363636363636365,
|
50 |
+
"loss": 1.1031,
|
51 |
+
"step": 25
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.0684931506849315,
|
55 |
+
"grad_norm": 1.06874418258667,
|
56 |
+
"learning_rate": 0.00013636363636363637,
|
57 |
+
"loss": 1.0291,
|
58 |
+
"step": 30
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.07990867579908675,
|
62 |
+
"grad_norm": 0.7481689453125,
|
63 |
+
"learning_rate": 0.0001590909090909091,
|
64 |
+
"loss": 0.9542,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.091324200913242,
|
69 |
+
"grad_norm": 0.5238539576530457,
|
70 |
+
"learning_rate": 0.00018181818181818183,
|
71 |
+
"loss": 0.9042,
|
72 |
+
"step": 40
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.10273972602739725,
|
76 |
+
"grad_norm": 0.6258371472358704,
|
77 |
+
"learning_rate": 0.00019999682111362368,
|
78 |
+
"loss": 0.8712,
|
79 |
+
"step": 45
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.1141552511415525,
|
83 |
+
"grad_norm": 0.652073860168457,
|
84 |
+
"learning_rate": 0.00019988558131018186,
|
85 |
+
"loss": 0.8544,
|
86 |
+
"step": 50
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.12557077625570776,
|
90 |
+
"grad_norm": 0.41882091760635376,
|
91 |
+
"learning_rate": 0.0001996155992365444,
|
92 |
+
"loss": 0.8341,
|
93 |
+
"step": 55
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.136986301369863,
|
97 |
+
"grad_norm": 0.4048590064048767,
|
98 |
+
"learning_rate": 0.00019918730395931649,
|
99 |
+
"loss": 0.8206,
|
100 |
+
"step": 60
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.14840182648401826,
|
104 |
+
"grad_norm": 0.41035646200180054,
|
105 |
+
"learning_rate": 0.00019860137614295168,
|
106 |
+
"loss": 0.8261,
|
107 |
+
"step": 65
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.1598173515981735,
|
111 |
+
"grad_norm": 0.5227702856063843,
|
112 |
+
"learning_rate": 0.00019785874696801202,
|
113 |
+
"loss": 0.8022,
|
114 |
+
"step": 70
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.17123287671232876,
|
118 |
+
"grad_norm": 0.744319498538971,
|
119 |
+
"learning_rate": 0.0001969605966512975,
|
120 |
+
"loss": 0.8126,
|
121 |
+
"step": 75
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.182648401826484,
|
125 |
+
"grad_norm": 0.6107627749443054,
|
126 |
+
"learning_rate": 0.00019590835257019714,
|
127 |
+
"loss": 0.8135,
|
128 |
+
"step": 80
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.19406392694063926,
|
132 |
+
"grad_norm": 0.5606933832168579,
|
133 |
+
"learning_rate": 0.00019470368699424218,
|
134 |
+
"loss": 0.791,
|
135 |
+
"step": 85
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.2054794520547945,
|
139 |
+
"grad_norm": 0.481476753950119,
|
140 |
+
"learning_rate": 0.00019334851442746664,
|
141 |
+
"loss": 0.7933,
|
142 |
+
"step": 90
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.21689497716894976,
|
146 |
+
"grad_norm": 0.42986494302749634,
|
147 |
+
"learning_rate": 0.00019184498856579868,
|
148 |
+
"loss": 0.7855,
|
149 |
+
"step": 95
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.228310502283105,
|
153 |
+
"grad_norm": 0.8674535751342773,
|
154 |
+
"learning_rate": 0.00019019549887431877,
|
155 |
+
"loss": 0.788,
|
156 |
+
"step": 100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.23972602739726026,
|
160 |
+
"grad_norm": 0.5029703974723816,
|
161 |
+
"learning_rate": 0.00018840266678982342,
|
162 |
+
"loss": 0.7916,
|
163 |
+
"step": 105
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.2511415525114155,
|
167 |
+
"grad_norm": 0.5123094916343689,
|
168 |
+
"learning_rate": 0.00018646934155473022,
|
169 |
+
"loss": 0.7698,
|
170 |
+
"step": 110
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.2625570776255708,
|
174 |
+
"grad_norm": 0.6292619109153748,
|
175 |
+
"learning_rate": 0.00018439859568894463,
|
176 |
+
"loss": 0.7729,
|
177 |
+
"step": 115
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.273972602739726,
|
181 |
+
"grad_norm": 0.48256051540374756,
|
182 |
+
"learning_rate": 0.00018219372010688515,
|
183 |
+
"loss": 0.7645,
|
184 |
+
"step": 120
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.2853881278538813,
|
188 |
+
"grad_norm": 0.5615462064743042,
|
189 |
+
"learning_rate": 0.00017985821888742685,
|
190 |
+
"loss": 0.7683,
|
191 |
+
"step": 125
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.2968036529680365,
|
195 |
+
"grad_norm": 0.44299066066741943,
|
196 |
+
"learning_rate": 0.00017739580370507532,
|
197 |
+
"loss": 0.7643,
|
198 |
+
"step": 130
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.3082191780821918,
|
202 |
+
"grad_norm": 0.6133469343185425,
|
203 |
+
"learning_rate": 0.00017481038793122088,
|
204 |
+
"loss": 0.7703,
|
205 |
+
"step": 135
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.319634703196347,
|
209 |
+
"grad_norm": 0.4634026885032654,
|
210 |
+
"learning_rate": 0.0001721060804148482,
|
211 |
+
"loss": 0.7747,
|
212 |
+
"step": 140
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.3310502283105023,
|
216 |
+
"grad_norm": 0.5451490879058838,
|
217 |
+
"learning_rate": 0.00016928717895258437,
|
218 |
+
"loss": 0.7724,
|
219 |
+
"step": 145
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.3424657534246575,
|
223 |
+
"grad_norm": 0.6281952261924744,
|
224 |
+
"learning_rate": 0.0001663581634584641,
|
225 |
+
"loss": 0.7638,
|
226 |
+
"step": 150
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.3538812785388128,
|
230 |
+
"grad_norm": 0.5821138620376587,
|
231 |
+
"learning_rate": 0.00016332368884426626,
|
232 |
+
"loss": 0.7558,
|
233 |
+
"step": 155
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.365296803652968,
|
237 |
+
"grad_norm": 0.6641839146614075,
|
238 |
+
"learning_rate": 0.0001601885776217367,
|
239 |
+
"loss": 0.7647,
|
240 |
+
"step": 160
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.3767123287671233,
|
244 |
+
"grad_norm": 0.5730116963386536,
|
245 |
+
"learning_rate": 0.00015695781223845441,
|
246 |
+
"loss": 0.7655,
|
247 |
+
"step": 165
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.3881278538812785,
|
251 |
+
"grad_norm": 0.5685128569602966,
|
252 |
+
"learning_rate": 0.0001536365271595212,
|
253 |
+
"loss": 0.7609,
|
254 |
+
"step": 170
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.3995433789954338,
|
258 |
+
"grad_norm": 0.47333163022994995,
|
259 |
+
"learning_rate": 0.00015023000070765884,
|
260 |
+
"loss": 0.7609,
|
261 |
+
"step": 175
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.410958904109589,
|
265 |
+
"grad_norm": 0.8263501524925232,
|
266 |
+
"learning_rate": 0.0001467436466746814,
|
267 |
+
"loss": 0.7536,
|
268 |
+
"step": 180
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.4223744292237443,
|
272 |
+
"grad_norm": 0.6865557432174683,
|
273 |
+
"learning_rate": 0.00014318300571767513,
|
274 |
+
"loss": 0.7568,
|
275 |
+
"step": 185
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.4337899543378995,
|
279 |
+
"grad_norm": 0.45099779963493347,
|
280 |
+
"learning_rate": 0.0001395537365535585,
|
281 |
+
"loss": 0.7536,
|
282 |
+
"step": 190
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.4452054794520548,
|
286 |
+
"grad_norm": 0.44106268882751465,
|
287 |
+
"learning_rate": 0.00013586160696601665,
|
288 |
+
"loss": 0.7592,
|
289 |
+
"step": 195
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.45662100456621,
|
293 |
+
"grad_norm": 0.44125545024871826,
|
294 |
+
"learning_rate": 0.00013211248463910262,
|
295 |
+
"loss": 0.7513,
|
296 |
+
"step": 200
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.4680365296803653,
|
300 |
+
"grad_norm": 0.45518410205841064,
|
301 |
+
"learning_rate": 0.00012831232783207277,
|
302 |
+
"loss": 0.7404,
|
303 |
+
"step": 205
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.4794520547945205,
|
307 |
+
"grad_norm": 0.4644870162010193,
|
308 |
+
"learning_rate": 0.00012446717591027624,
|
309 |
+
"loss": 0.7452,
|
310 |
+
"step": 210
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.4908675799086758,
|
314 |
+
"grad_norm": 0.5244945883750916,
|
315 |
+
"learning_rate": 0.00012058313974714746,
|
316 |
+
"loss": 0.7494,
|
317 |
+
"step": 215
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.502283105022831,
|
321 |
+
"grad_norm": 0.4744689464569092,
|
322 |
+
"learning_rate": 0.00011666639201255506,
|
323 |
+
"loss": 0.7382,
|
324 |
+
"step": 220
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.5136986301369864,
|
328 |
+
"grad_norm": 0.4412366449832916,
|
329 |
+
"learning_rate": 0.00011272315736294108,
|
330 |
+
"loss": 0.7398,
|
331 |
+
"step": 225
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.5251141552511416,
|
335 |
+
"grad_norm": 0.45072141289711,
|
336 |
+
"learning_rate": 0.0001087597025488413,
|
337 |
+
"loss": 0.7492,
|
338 |
+
"step": 230
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.5365296803652968,
|
342 |
+
"grad_norm": 0.5198200941085815,
|
343 |
+
"learning_rate": 0.00010478232645550782,
|
344 |
+
"loss": 0.7505,
|
345 |
+
"step": 235
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.547945205479452,
|
349 |
+
"grad_norm": 0.463403582572937,
|
350 |
+
"learning_rate": 0.00010079735009246167,
|
351 |
+
"loss": 0.7434,
|
352 |
+
"step": 240
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.5593607305936074,
|
356 |
+
"grad_norm": 0.5372945070266724,
|
357 |
+
"learning_rate": 9.681110654788482e-05,
|
358 |
+
"loss": 0.7443,
|
359 |
+
"step": 245
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.5707762557077626,
|
363 |
+
"grad_norm": 0.5424056649208069,
|
364 |
+
"learning_rate": 9.282993092381625e-05,
|
365 |
+
"loss": 0.7252,
|
366 |
+
"step": 250
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.5821917808219178,
|
370 |
+
"grad_norm": 0.4267898201942444,
|
371 |
+
"learning_rate": 8.886015026814736e-05,
|
372 |
+
"loss": 0.7374,
|
373 |
+
"step": 255
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.593607305936073,
|
377 |
+
"grad_norm": 0.4452318251132965,
|
378 |
+
"learning_rate": 8.490807351941753e-05,
|
379 |
+
"loss": 0.7374,
|
380 |
+
"step": 260
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.6050228310502284,
|
384 |
+
"grad_norm": 0.5267938375473022,
|
385 |
+
"learning_rate": 8.097998148038985e-05,
|
386 |
+
"loss": 0.7369,
|
387 |
+
"step": 265
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.6164383561643836,
|
391 |
+
"grad_norm": 0.49687665700912476,
|
392 |
+
"learning_rate": 7.708211683634112e-05,
|
393 |
+
"loss": 0.7324,
|
394 |
+
"step": 270
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.6278538812785388,
|
398 |
+
"grad_norm": 0.4589200019836426,
|
399 |
+
"learning_rate": 7.322067423393002e-05,
|
400 |
+
"loss": 0.727,
|
401 |
+
"step": 275
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.639269406392694,
|
405 |
+
"grad_norm": 0.6677468419075012,
|
406 |
+
"learning_rate": 6.940179043641005e-05,
|
407 |
+
"loss": 0.7265,
|
408 |
+
"step": 280
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.6506849315068494,
|
412 |
+
"grad_norm": 0.4672200679779053,
|
413 |
+
"learning_rate": 6.563153457083315e-05,
|
414 |
+
"loss": 0.7358,
|
415 |
+
"step": 285
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.6621004566210046,
|
419 |
+
"grad_norm": 0.48395875096321106,
|
420 |
+
"learning_rate": 6.191589848274368e-05,
|
421 |
+
"loss": 0.732,
|
422 |
+
"step": 290
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.6735159817351598,
|
426 |
+
"grad_norm": 0.4542995095252991,
|
427 |
+
"learning_rate": 5.82607872136913e-05,
|
428 |
+
"loss": 0.7365,
|
429 |
+
"step": 295
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.684931506849315,
|
433 |
+
"grad_norm": 0.46610426902770996,
|
434 |
+
"learning_rate": 5.467200961669619e-05,
|
435 |
+
"loss": 0.7272,
|
436 |
+
"step": 300
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.6963470319634704,
|
440 |
+
"grad_norm": 0.47753971815109253,
|
441 |
+
"learning_rate": 5.115526912458113e-05,
|
442 |
+
"loss": 0.7256,
|
443 |
+
"step": 305
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.7077625570776256,
|
447 |
+
"grad_norm": 0.5854398012161255,
|
448 |
+
"learning_rate": 4.7716154685841944e-05,
|
449 |
+
"loss": 0.7407,
|
450 |
+
"step": 310
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.7191780821917808,
|
454 |
+
"grad_norm": 0.4733522832393646,
|
455 |
+
"learning_rate": 4.4360131882460555e-05,
|
456 |
+
"loss": 0.746,
|
457 |
+
"step": 315
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.730593607305936,
|
461 |
+
"grad_norm": 0.49361252784729004,
|
462 |
+
"learning_rate": 4.109253424377772e-05,
|
463 |
+
"loss": 0.7349,
|
464 |
+
"step": 320
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.7420091324200914,
|
468 |
+
"grad_norm": 0.5429126620292664,
|
469 |
+
"learning_rate": 3.791855477022903e-05,
|
470 |
+
"loss": 0.7281,
|
471 |
+
"step": 325
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.7534246575342466,
|
475 |
+
"grad_norm": 0.48451346158981323,
|
476 |
+
"learning_rate": 3.4843237680415156e-05,
|
477 |
+
"loss": 0.728,
|
478 |
+
"step": 330
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.7648401826484018,
|
482 |
+
"grad_norm": 0.4551585018634796,
|
483 |
+
"learning_rate": 3.1871470394622404e-05,
|
484 |
+
"loss": 0.715,
|
485 |
+
"step": 335
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.776255707762557,
|
489 |
+
"grad_norm": 0.5019502639770508,
|
490 |
+
"learning_rate": 2.9007975767533714e-05,
|
491 |
+
"loss": 0.7269,
|
492 |
+
"step": 340
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.7876712328767124,
|
496 |
+
"grad_norm": 0.43697601556777954,
|
497 |
+
"learning_rate": 2.625730458247362e-05,
|
498 |
+
"loss": 0.735,
|
499 |
+
"step": 345
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.7990867579908676,
|
503 |
+
"grad_norm": 0.4500909149646759,
|
504 |
+
"learning_rate": 2.3623828319116748e-05,
|
505 |
+
"loss": 0.7368,
|
506 |
+
"step": 350
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.8105022831050228,
|
510 |
+
"grad_norm": 0.455743670463562,
|
511 |
+
"learning_rate": 2.1111732206152424e-05,
|
512 |
+
"loss": 0.7385,
|
513 |
+
"step": 355
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.821917808219178,
|
517 |
+
"grad_norm": 0.4662931561470032,
|
518 |
+
"learning_rate": 1.8725008569947365e-05,
|
519 |
+
"loss": 0.7389,
|
520 |
+
"step": 360
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.8333333333333334,
|
524 |
+
"grad_norm": 0.45579805970191956,
|
525 |
+
"learning_rate": 1.6467450489776582e-05,
|
526 |
+
"loss": 0.7271,
|
527 |
+
"step": 365
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.8447488584474886,
|
531 |
+
"grad_norm": 0.4291900098323822,
|
532 |
+
"learning_rate": 1.4342645769705977e-05,
|
533 |
+
"loss": 0.7224,
|
534 |
+
"step": 370
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.8561643835616438,
|
538 |
+
"grad_norm": 0.43814659118652344,
|
539 |
+
"learning_rate": 1.2353971236706564e-05,
|
540 |
+
"loss": 0.736,
|
541 |
+
"step": 375
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.867579908675799,
|
545 |
+
"grad_norm": 0.45001426339149475,
|
546 |
+
"learning_rate": 1.0504587374062391e-05,
|
547 |
+
"loss": 0.7174,
|
548 |
+
"step": 380
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.8789954337899544,
|
552 |
+
"grad_norm": 0.5118018388748169,
|
553 |
+
"learning_rate": 8.797433298600622e-06,
|
554 |
+
"loss": 0.7214,
|
555 |
+
"step": 385
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.8904109589041096,
|
559 |
+
"grad_norm": 0.4473750591278076,
|
560 |
+
"learning_rate": 7.235222089726279e-06,
|
561 |
+
"loss": 0.7279,
|
562 |
+
"step": 390
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.9018264840182648,
|
566 |
+
"grad_norm": 0.44456323981285095,
|
567 |
+
"learning_rate": 5.82043647768502e-06,
|
568 |
+
"loss": 0.736,
|
569 |
+
"step": 395
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.91324200913242,
|
573 |
+
"grad_norm": 0.4372852146625519,
|
574 |
+
"learning_rate": 4.555324897906132e-06,
|
575 |
+
"loss": 0.7248,
|
576 |
+
"step": 400
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.9246575342465754,
|
580 |
+
"grad_norm": 0.44558244943618774,
|
581 |
+
"learning_rate": 3.441897917696679e-06,
|
582 |
+
"loss": 0.7276,
|
583 |
+
"step": 405
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.9360730593607306,
|
587 |
+
"grad_norm": 0.4511885941028595,
|
588 |
+
"learning_rate": 2.4819250409651607e-06,
|
589 |
+
"loss": 0.7269,
|
590 |
+
"step": 410
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.9474885844748858,
|
594 |
+
"grad_norm": 0.4582946002483368,
|
595 |
+
"learning_rate": 1.6769318960533464e-06,
|
596 |
+
"loss": 0.729,
|
597 |
+
"step": 415
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.958904109589041,
|
601 |
+
"grad_norm": 0.43736863136291504,
|
602 |
+
"learning_rate": 1.0281978111449375e-06,
|
603 |
+
"loss": 0.7401,
|
604 |
+
"step": 420
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.9703196347031964,
|
608 |
+
"grad_norm": 0.4510857164859772,
|
609 |
+
"learning_rate": 5.367537811046485e-07,
|
610 |
+
"loss": 0.7356,
|
611 |
+
"step": 425
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.9817351598173516,
|
615 |
+
"grad_norm": 0.4327021539211273,
|
616 |
+
"learning_rate": 2.0338082897886079e-07,
|
617 |
+
"loss": 0.7222,
|
618 |
+
"step": 430
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.9931506849315068,
|
622 |
+
"grad_norm": 0.44210952520370483,
|
623 |
+
"learning_rate": 2.8608764761639538e-08,
|
624 |
+
"loss": 0.7244,
|
625 |
+
"step": 435
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 1.0,
|
629 |
+
"eval_loss": 1.8283706903457642,
|
630 |
+
"eval_runtime": 0.9325,
|
631 |
+
"eval_samples_per_second": 12.868,
|
632 |
+
"eval_steps_per_second": 1.072,
|
633 |
+
"step": 438
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 1.0,
|
637 |
+
"step": 438,
|
638 |
+
"total_flos": 6.128949620228751e+17,
|
639 |
+
"train_loss": 0.7978243280763495,
|
640 |
+
"train_runtime": 3115.8127,
|
641 |
+
"train_samples_per_second": 4.494,
|
642 |
+
"train_steps_per_second": 0.141
|
643 |
+
}
|
644 |
+
],
|
645 |
+
"logging_steps": 5,
|
646 |
+
"max_steps": 438,
|
647 |
+
"num_input_tokens_seen": 0,
|
648 |
+
"num_train_epochs": 1,
|
649 |
+
"save_steps": 100,
|
650 |
+
"stateful_callbacks": {
|
651 |
+
"TrainerControl": {
|
652 |
+
"args": {
|
653 |
+
"should_epoch_stop": false,
|
654 |
+
"should_evaluate": false,
|
655 |
+
"should_log": false,
|
656 |
+
"should_save": true,
|
657 |
+
"should_training_stop": true
|
658 |
+
},
|
659 |
+
"attributes": {}
|
660 |
+
}
|
661 |
+
},
|
662 |
+
"total_flos": 6.128949620228751e+17,
|
663 |
+
"train_batch_size": 2,
|
664 |
+
"trial_name": null,
|
665 |
+
"trial_params": null
|
666 |
+
}
|