Training in progress, step 100, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +34 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/added_tokens.json +3 -0
- last-checkpoint/merges.txt +0 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +28 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +171 -0
- last-checkpoint/trainer_state.json +765 -0
- last-checkpoint/training_args.bin +3 -0
- last-checkpoint/vocab.json +0 -0
last-checkpoint/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: unsloth/SmolLM2-360M-Instruct
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.13.2
|
last-checkpoint/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "unsloth/SmolLM2-360M-Instruct",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"o_proj",
|
24 |
+
"v_proj",
|
25 |
+
"k_proj",
|
26 |
+
"q_proj",
|
27 |
+
"gate_proj",
|
28 |
+
"down_proj",
|
29 |
+
"up_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7743373ba37e04b1613d2f9bad339705982965f07b4fa5fd9353649248154439
|
3 |
+
size 17425352
|
last-checkpoint/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|PAD_TOKEN|>": 49152
|
3 |
+
}
|
last-checkpoint/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
last-checkpoint/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ee4bd2abef07cdbf8e020c39423911d6fc5026b4b3bbb48b8b1db3a1969329ad
|
3 |
+
size 10251668
|
last-checkpoint/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4602848e0dac54ca5739f3628c0b258ab685825b52c4c708cadea2db8f32c6b1
|
3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1329fcdcae9cc57b3dfeb222ae5a3ccdcc91caca3e6f41508a76810014313920
|
3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>"
|
5 |
+
],
|
6 |
+
"bos_token": {
|
7 |
+
"content": "<|im_start|>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false
|
12 |
+
},
|
13 |
+
"eos_token": {
|
14 |
+
"content": "<|im_end|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false
|
19 |
+
},
|
20 |
+
"pad_token": {
|
21 |
+
"content": "<|PAD_TOKEN|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false
|
26 |
+
},
|
27 |
+
"unk_token": "�"
|
28 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
last-checkpoint/tokenizer_config.json
ADDED
@@ -0,0 +1,171 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"1": {
|
13 |
+
"content": "<|im_start|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"2": {
|
21 |
+
"content": "<|im_end|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"3": {
|
29 |
+
"content": "<repo_name>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"4": {
|
37 |
+
"content": "<reponame>",
|
38 |
+
"lstrip": false,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"5": {
|
45 |
+
"content": "<file_sep>",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"6": {
|
53 |
+
"content": "<filename>",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
},
|
60 |
+
"7": {
|
61 |
+
"content": "<gh_stars>",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": false,
|
65 |
+
"single_word": false,
|
66 |
+
"special": true
|
67 |
+
},
|
68 |
+
"8": {
|
69 |
+
"content": "<issue_start>",
|
70 |
+
"lstrip": false,
|
71 |
+
"normalized": false,
|
72 |
+
"rstrip": false,
|
73 |
+
"single_word": false,
|
74 |
+
"special": true
|
75 |
+
},
|
76 |
+
"9": {
|
77 |
+
"content": "<issue_comment>",
|
78 |
+
"lstrip": false,
|
79 |
+
"normalized": false,
|
80 |
+
"rstrip": false,
|
81 |
+
"single_word": false,
|
82 |
+
"special": true
|
83 |
+
},
|
84 |
+
"10": {
|
85 |
+
"content": "<issue_closed>",
|
86 |
+
"lstrip": false,
|
87 |
+
"normalized": false,
|
88 |
+
"rstrip": false,
|
89 |
+
"single_word": false,
|
90 |
+
"special": true
|
91 |
+
},
|
92 |
+
"11": {
|
93 |
+
"content": "<jupyter_start>",
|
94 |
+
"lstrip": false,
|
95 |
+
"normalized": false,
|
96 |
+
"rstrip": false,
|
97 |
+
"single_word": false,
|
98 |
+
"special": true
|
99 |
+
},
|
100 |
+
"12": {
|
101 |
+
"content": "<jupyter_text>",
|
102 |
+
"lstrip": false,
|
103 |
+
"normalized": false,
|
104 |
+
"rstrip": false,
|
105 |
+
"single_word": false,
|
106 |
+
"special": true
|
107 |
+
},
|
108 |
+
"13": {
|
109 |
+
"content": "<jupyter_code>",
|
110 |
+
"lstrip": false,
|
111 |
+
"normalized": false,
|
112 |
+
"rstrip": false,
|
113 |
+
"single_word": false,
|
114 |
+
"special": true
|
115 |
+
},
|
116 |
+
"14": {
|
117 |
+
"content": "<jupyter_output>",
|
118 |
+
"lstrip": false,
|
119 |
+
"normalized": false,
|
120 |
+
"rstrip": false,
|
121 |
+
"single_word": false,
|
122 |
+
"special": true
|
123 |
+
},
|
124 |
+
"15": {
|
125 |
+
"content": "<jupyter_script>",
|
126 |
+
"lstrip": false,
|
127 |
+
"normalized": false,
|
128 |
+
"rstrip": false,
|
129 |
+
"single_word": false,
|
130 |
+
"special": true
|
131 |
+
},
|
132 |
+
"16": {
|
133 |
+
"content": "<empty_output>",
|
134 |
+
"lstrip": false,
|
135 |
+
"normalized": false,
|
136 |
+
"rstrip": false,
|
137 |
+
"single_word": false,
|
138 |
+
"special": true
|
139 |
+
},
|
140 |
+
"24211": {
|
141 |
+
"content": "�",
|
142 |
+
"lstrip": false,
|
143 |
+
"normalized": false,
|
144 |
+
"rstrip": false,
|
145 |
+
"single_word": false,
|
146 |
+
"special": true
|
147 |
+
},
|
148 |
+
"49152": {
|
149 |
+
"content": "<|PAD_TOKEN|>",
|
150 |
+
"lstrip": false,
|
151 |
+
"normalized": false,
|
152 |
+
"rstrip": false,
|
153 |
+
"single_word": false,
|
154 |
+
"special": true
|
155 |
+
}
|
156 |
+
},
|
157 |
+
"additional_special_tokens": [
|
158 |
+
"<|im_start|>",
|
159 |
+
"<|im_end|>"
|
160 |
+
],
|
161 |
+
"bos_token": "<|im_start|>",
|
162 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
163 |
+
"clean_up_tokenization_spaces": false,
|
164 |
+
"eos_token": "<|im_end|>",
|
165 |
+
"model_max_length": 2048,
|
166 |
+
"pad_token": "<|PAD_TOKEN|>",
|
167 |
+
"padding_side": "left",
|
168 |
+
"tokenizer_class": "GPT2Tokenizer",
|
169 |
+
"unk_token": "�",
|
170 |
+
"vocab_size": 49152
|
171 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,765 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.004348109659325608,
|
5 |
+
"eval_steps": 30,
|
6 |
+
"global_step": 100,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 4.3481096593256084e-05,
|
13 |
+
"grad_norm": 0.18313416838645935,
|
14 |
+
"learning_rate": 5e-05,
|
15 |
+
"loss": 1.493,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 4.3481096593256084e-05,
|
20 |
+
"eval_loss": 1.558142066001892,
|
21 |
+
"eval_runtime": 203.2579,
|
22 |
+
"eval_samples_per_second": 47.644,
|
23 |
+
"eval_steps_per_second": 23.822,
|
24 |
+
"step": 1
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 8.696219318651217e-05,
|
28 |
+
"grad_norm": 0.12069936841726303,
|
29 |
+
"learning_rate": 0.0001,
|
30 |
+
"loss": 1.3439,
|
31 |
+
"step": 2
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.00013044328977976824,
|
35 |
+
"grad_norm": 0.1665075421333313,
|
36 |
+
"learning_rate": 0.00015,
|
37 |
+
"loss": 1.6835,
|
38 |
+
"step": 3
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.00017392438637302434,
|
42 |
+
"grad_norm": 0.1442747563123703,
|
43 |
+
"learning_rate": 0.0002,
|
44 |
+
"loss": 1.4464,
|
45 |
+
"step": 4
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.0002174054829662804,
|
49 |
+
"grad_norm": 0.1848307102918625,
|
50 |
+
"learning_rate": 0.00025,
|
51 |
+
"loss": 1.5088,
|
52 |
+
"step": 5
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.0002608865795595365,
|
56 |
+
"grad_norm": 0.17121705412864685,
|
57 |
+
"learning_rate": 0.0003,
|
58 |
+
"loss": 1.4742,
|
59 |
+
"step": 6
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.00030436767615279255,
|
63 |
+
"grad_norm": 0.18226021528244019,
|
64 |
+
"learning_rate": 0.00035,
|
65 |
+
"loss": 1.5433,
|
66 |
+
"step": 7
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.0003478487727460487,
|
70 |
+
"grad_norm": 0.17033541202545166,
|
71 |
+
"learning_rate": 0.0004,
|
72 |
+
"loss": 1.6514,
|
73 |
+
"step": 8
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.00039132986933930475,
|
77 |
+
"grad_norm": 0.1377723217010498,
|
78 |
+
"learning_rate": 0.00045000000000000004,
|
79 |
+
"loss": 1.4088,
|
80 |
+
"step": 9
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.0004348109659325608,
|
84 |
+
"grad_norm": 0.20755314826965332,
|
85 |
+
"learning_rate": 0.0005,
|
86 |
+
"loss": 1.5676,
|
87 |
+
"step": 10
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.0004782920625258169,
|
91 |
+
"grad_norm": 0.2286653220653534,
|
92 |
+
"learning_rate": 0.0004998477067547739,
|
93 |
+
"loss": 1.4479,
|
94 |
+
"step": 11
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.000521773159119073,
|
98 |
+
"grad_norm": 0.18399114906787872,
|
99 |
+
"learning_rate": 0.0004993910125649561,
|
100 |
+
"loss": 1.3011,
|
101 |
+
"step": 12
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.0005652542557123291,
|
105 |
+
"grad_norm": 0.22670575976371765,
|
106 |
+
"learning_rate": 0.0004986304738420684,
|
107 |
+
"loss": 1.496,
|
108 |
+
"step": 13
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.0006087353523055851,
|
112 |
+
"grad_norm": 0.2062467783689499,
|
113 |
+
"learning_rate": 0.0004975670171853926,
|
114 |
+
"loss": 1.5314,
|
115 |
+
"step": 14
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.0006522164488988412,
|
119 |
+
"grad_norm": 0.2885122299194336,
|
120 |
+
"learning_rate": 0.000496201938253052,
|
121 |
+
"loss": 1.66,
|
122 |
+
"step": 15
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.0006956975454920974,
|
126 |
+
"grad_norm": 0.28001096844673157,
|
127 |
+
"learning_rate": 0.0004945369001834514,
|
128 |
+
"loss": 1.426,
|
129 |
+
"step": 16
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.0007391786420853534,
|
133 |
+
"grad_norm": 0.25424984097480774,
|
134 |
+
"learning_rate": 0.0004925739315689991,
|
135 |
+
"loss": 1.4973,
|
136 |
+
"step": 17
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.0007826597386786095,
|
140 |
+
"grad_norm": 0.24345117807388306,
|
141 |
+
"learning_rate": 0.0004903154239845797,
|
142 |
+
"loss": 1.4445,
|
143 |
+
"step": 18
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.0008261408352718655,
|
147 |
+
"grad_norm": 0.2889419496059418,
|
148 |
+
"learning_rate": 0.0004877641290737884,
|
149 |
+
"loss": 1.6269,
|
150 |
+
"step": 19
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.0008696219318651216,
|
154 |
+
"grad_norm": 0.20728595554828644,
|
155 |
+
"learning_rate": 0.0004849231551964771,
|
156 |
+
"loss": 1.3378,
|
157 |
+
"step": 20
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.0009131030284583778,
|
161 |
+
"grad_norm": 0.24365362524986267,
|
162 |
+
"learning_rate": 0.00048179596364169685,
|
163 |
+
"loss": 1.2675,
|
164 |
+
"step": 21
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.0009565841250516338,
|
168 |
+
"grad_norm": 0.26219597458839417,
|
169 |
+
"learning_rate": 0.0004783863644106502,
|
170 |
+
"loss": 1.3657,
|
171 |
+
"step": 22
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.0010000652216448898,
|
175 |
+
"grad_norm": 0.3147345185279846,
|
176 |
+
"learning_rate": 0.00047469851157479177,
|
177 |
+
"loss": 1.3907,
|
178 |
+
"step": 23
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.001043546318238146,
|
182 |
+
"grad_norm": 0.3428747057914734,
|
183 |
+
"learning_rate": 0.00047073689821473173,
|
184 |
+
"loss": 1.2839,
|
185 |
+
"step": 24
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.001087027414831402,
|
189 |
+
"grad_norm": 0.2819852828979492,
|
190 |
+
"learning_rate": 0.00046650635094610973,
|
191 |
+
"loss": 1.4352,
|
192 |
+
"step": 25
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.0011305085114246582,
|
196 |
+
"grad_norm": 0.2961019277572632,
|
197 |
+
"learning_rate": 0.00046201202403910646,
|
198 |
+
"loss": 1.3407,
|
199 |
+
"step": 26
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.0011739896080179143,
|
203 |
+
"grad_norm": 0.22638189792633057,
|
204 |
+
"learning_rate": 0.00045725939313876043,
|
205 |
+
"loss": 1.2414,
|
206 |
+
"step": 27
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.0012174707046111702,
|
210 |
+
"grad_norm": 0.3246627151966095,
|
211 |
+
"learning_rate": 0.0004522542485937369,
|
212 |
+
"loss": 1.3744,
|
213 |
+
"step": 28
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.0012609518012044263,
|
217 |
+
"grad_norm": 0.2994436025619507,
|
218 |
+
"learning_rate": 0.00044700268840168044,
|
219 |
+
"loss": 1.3283,
|
220 |
+
"step": 29
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.0013044328977976825,
|
224 |
+
"grad_norm": 0.3261086344718933,
|
225 |
+
"learning_rate": 0.0004415111107797445,
|
226 |
+
"loss": 1.6176,
|
227 |
+
"step": 30
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.0013044328977976825,
|
231 |
+
"eval_loss": 1.4312220811843872,
|
232 |
+
"eval_runtime": 200.7889,
|
233 |
+
"eval_samples_per_second": 48.23,
|
234 |
+
"eval_steps_per_second": 24.115,
|
235 |
+
"step": 30
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.0013479139943909386,
|
239 |
+
"grad_norm": 0.3720364570617676,
|
240 |
+
"learning_rate": 0.00043578620636934855,
|
241 |
+
"loss": 1.6106,
|
242 |
+
"step": 31
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.0013913950909841947,
|
246 |
+
"grad_norm": 0.3748486042022705,
|
247 |
+
"learning_rate": 0.0004298349500846628,
|
248 |
+
"loss": 1.5618,
|
249 |
+
"step": 32
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.0014348761875774506,
|
253 |
+
"grad_norm": 0.3934083580970764,
|
254 |
+
"learning_rate": 0.00042366459261474935,
|
255 |
+
"loss": 1.5262,
|
256 |
+
"step": 33
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 0.0014783572841707067,
|
260 |
+
"grad_norm": 0.2756959795951843,
|
261 |
+
"learning_rate": 0.0004172826515897146,
|
262 |
+
"loss": 1.3536,
|
263 |
+
"step": 34
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.0015218383807639629,
|
267 |
+
"grad_norm": 0.26335471868515015,
|
268 |
+
"learning_rate": 0.0004106969024216348,
|
269 |
+
"loss": 1.2083,
|
270 |
+
"step": 35
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 0.001565319477357219,
|
274 |
+
"grad_norm": 0.3875220715999603,
|
275 |
+
"learning_rate": 0.00040391536883141455,
|
276 |
+
"loss": 1.63,
|
277 |
+
"step": 36
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 0.0016088005739504751,
|
281 |
+
"grad_norm": 0.32246655225753784,
|
282 |
+
"learning_rate": 0.0003969463130731183,
|
283 |
+
"loss": 1.2869,
|
284 |
+
"step": 37
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.001652281670543731,
|
288 |
+
"grad_norm": 0.34290939569473267,
|
289 |
+
"learning_rate": 0.0003897982258676867,
|
290 |
+
"loss": 1.4369,
|
291 |
+
"step": 38
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.0016957627671369871,
|
295 |
+
"grad_norm": 0.3700267970561981,
|
296 |
+
"learning_rate": 0.00038247981605830125,
|
297 |
+
"loss": 1.5842,
|
298 |
+
"step": 39
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 0.0017392438637302433,
|
302 |
+
"grad_norm": 0.34299805760383606,
|
303 |
+
"learning_rate": 0.000375,
|
304 |
+
"loss": 1.4267,
|
305 |
+
"step": 40
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 0.0017827249603234994,
|
309 |
+
"grad_norm": 0.35160815715789795,
|
310 |
+
"learning_rate": 0.0003673678906964727,
|
311 |
+
"loss": 1.5085,
|
312 |
+
"step": 41
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 0.0018262060569167555,
|
316 |
+
"grad_norm": 0.3201915919780731,
|
317 |
+
"learning_rate": 0.00035959278669726934,
|
318 |
+
"loss": 1.3796,
|
319 |
+
"step": 42
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 0.0018696871535100114,
|
323 |
+
"grad_norm": 0.3105376362800598,
|
324 |
+
"learning_rate": 0.0003516841607689501,
|
325 |
+
"loss": 1.3575,
|
326 |
+
"step": 43
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.0019131682501032676,
|
330 |
+
"grad_norm": 0.33102554082870483,
|
331 |
+
"learning_rate": 0.00034365164835397803,
|
332 |
+
"loss": 1.3367,
|
333 |
+
"step": 44
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.001956649346696524,
|
337 |
+
"grad_norm": 0.27141764760017395,
|
338 |
+
"learning_rate": 0.0003355050358314172,
|
339 |
+
"loss": 1.3298,
|
340 |
+
"step": 45
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 0.0020001304432897796,
|
344 |
+
"grad_norm": 0.31761887669563293,
|
345 |
+
"learning_rate": 0.00032725424859373687,
|
346 |
+
"loss": 1.2937,
|
347 |
+
"step": 46
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 0.0020436115398830357,
|
351 |
+
"grad_norm": 0.4434088170528412,
|
352 |
+
"learning_rate": 0.0003189093389542498,
|
353 |
+
"loss": 1.4619,
|
354 |
+
"step": 47
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.002087092636476292,
|
358 |
+
"grad_norm": 0.311277836561203,
|
359 |
+
"learning_rate": 0.0003104804738999169,
|
360 |
+
"loss": 1.2116,
|
361 |
+
"step": 48
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.002130573733069548,
|
365 |
+
"grad_norm": 0.41048505902290344,
|
366 |
+
"learning_rate": 0.0003019779227044398,
|
367 |
+
"loss": 1.671,
|
368 |
+
"step": 49
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.002174054829662804,
|
372 |
+
"grad_norm": 0.35352006554603577,
|
373 |
+
"learning_rate": 0.00029341204441673266,
|
374 |
+
"loss": 1.3945,
|
375 |
+
"step": 50
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.00221753592625606,
|
379 |
+
"grad_norm": 0.2824205458164215,
|
380 |
+
"learning_rate": 0.00028479327524001636,
|
381 |
+
"loss": 1.4224,
|
382 |
+
"step": 51
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 0.0022610170228493163,
|
386 |
+
"grad_norm": 0.3808979094028473,
|
387 |
+
"learning_rate": 0.0002761321158169134,
|
388 |
+
"loss": 1.5042,
|
389 |
+
"step": 52
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.0023044981194425725,
|
393 |
+
"grad_norm": 0.35385096073150635,
|
394 |
+
"learning_rate": 0.0002674391184360313,
|
395 |
+
"loss": 1.4235,
|
396 |
+
"step": 53
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.0023479792160358286,
|
400 |
+
"grad_norm": 0.391770601272583,
|
401 |
+
"learning_rate": 0.0002587248741756253,
|
402 |
+
"loss": 1.3811,
|
403 |
+
"step": 54
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 0.0023914603126290847,
|
407 |
+
"grad_norm": 0.36259493231773376,
|
408 |
+
"learning_rate": 0.00025,
|
409 |
+
"loss": 1.3041,
|
410 |
+
"step": 55
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.0024349414092223404,
|
414 |
+
"grad_norm": 0.2583346664905548,
|
415 |
+
"learning_rate": 0.00024127512582437484,
|
416 |
+
"loss": 1.1937,
|
417 |
+
"step": 56
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.0024784225058155965,
|
421 |
+
"grad_norm": 0.2702741324901581,
|
422 |
+
"learning_rate": 0.00023256088156396867,
|
423 |
+
"loss": 1.4001,
|
424 |
+
"step": 57
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 0.0025219036024088527,
|
428 |
+
"grad_norm": 0.3438343107700348,
|
429 |
+
"learning_rate": 0.00022386788418308668,
|
430 |
+
"loss": 1.4159,
|
431 |
+
"step": 58
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.0025653846990021088,
|
435 |
+
"grad_norm": 0.39195516705513,
|
436 |
+
"learning_rate": 0.0002152067247599837,
|
437 |
+
"loss": 1.5909,
|
438 |
+
"step": 59
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.002608865795595365,
|
442 |
+
"grad_norm": 0.3367631137371063,
|
443 |
+
"learning_rate": 0.00020658795558326743,
|
444 |
+
"loss": 1.3235,
|
445 |
+
"step": 60
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 0.002608865795595365,
|
449 |
+
"eval_loss": 1.3859906196594238,
|
450 |
+
"eval_runtime": 200.6528,
|
451 |
+
"eval_samples_per_second": 48.262,
|
452 |
+
"eval_steps_per_second": 24.131,
|
453 |
+
"step": 60
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 0.002652346892188621,
|
457 |
+
"grad_norm": 0.33776378631591797,
|
458 |
+
"learning_rate": 0.0001980220772955602,
|
459 |
+
"loss": 1.3894,
|
460 |
+
"step": 61
|
461 |
+
},
|
462 |
+
{
|
463 |
+
"epoch": 0.002695827988781877,
|
464 |
+
"grad_norm": 0.21993590891361237,
|
465 |
+
"learning_rate": 0.0001895195261000831,
|
466 |
+
"loss": 1.1228,
|
467 |
+
"step": 62
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 0.0027393090853751333,
|
471 |
+
"grad_norm": 0.3446858525276184,
|
472 |
+
"learning_rate": 0.00018109066104575022,
|
473 |
+
"loss": 1.4563,
|
474 |
+
"step": 63
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.0027827901819683894,
|
478 |
+
"grad_norm": 0.27211225032806396,
|
479 |
+
"learning_rate": 0.00017274575140626317,
|
480 |
+
"loss": 1.2127,
|
481 |
+
"step": 64
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 0.0028262712785616455,
|
485 |
+
"grad_norm": 0.30302250385284424,
|
486 |
+
"learning_rate": 0.00016449496416858284,
|
487 |
+
"loss": 1.3799,
|
488 |
+
"step": 65
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.0028697523751549012,
|
492 |
+
"grad_norm": 0.3473919630050659,
|
493 |
+
"learning_rate": 0.00015634835164602198,
|
494 |
+
"loss": 1.3698,
|
495 |
+
"step": 66
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 0.0029132334717481573,
|
499 |
+
"grad_norm": 0.32299569249153137,
|
500 |
+
"learning_rate": 0.00014831583923105,
|
501 |
+
"loss": 1.3153,
|
502 |
+
"step": 67
|
503 |
+
},
|
504 |
+
{
|
505 |
+
"epoch": 0.0029567145683414135,
|
506 |
+
"grad_norm": 0.32637661695480347,
|
507 |
+
"learning_rate": 0.00014040721330273062,
|
508 |
+
"loss": 1.2902,
|
509 |
+
"step": 68
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 0.0030001956649346696,
|
513 |
+
"grad_norm": 0.36671000719070435,
|
514 |
+
"learning_rate": 0.00013263210930352737,
|
515 |
+
"loss": 1.4733,
|
516 |
+
"step": 69
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 0.0030436767615279257,
|
520 |
+
"grad_norm": 0.3126938045024872,
|
521 |
+
"learning_rate": 0.00012500000000000006,
|
522 |
+
"loss": 1.3166,
|
523 |
+
"step": 70
|
524 |
+
},
|
525 |
+
{
|
526 |
+
"epoch": 0.003087157858121182,
|
527 |
+
"grad_norm": 0.31965765357017517,
|
528 |
+
"learning_rate": 0.0001175201839416988,
|
529 |
+
"loss": 1.3395,
|
530 |
+
"step": 71
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 0.003130638954714438,
|
534 |
+
"grad_norm": 0.3339870870113373,
|
535 |
+
"learning_rate": 0.00011020177413231333,
|
536 |
+
"loss": 1.5952,
|
537 |
+
"step": 72
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.003174120051307694,
|
541 |
+
"grad_norm": 0.4062851667404175,
|
542 |
+
"learning_rate": 0.00010305368692688174,
|
543 |
+
"loss": 1.331,
|
544 |
+
"step": 73
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 0.0032176011479009502,
|
548 |
+
"grad_norm": 0.32616257667541504,
|
549 |
+
"learning_rate": 9.608463116858542e-05,
|
550 |
+
"loss": 1.2725,
|
551 |
+
"step": 74
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 0.0032610822444942063,
|
555 |
+
"grad_norm": 0.28197285532951355,
|
556 |
+
"learning_rate": 8.930309757836516e-05,
|
557 |
+
"loss": 1.1204,
|
558 |
+
"step": 75
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 0.003304563341087462,
|
562 |
+
"grad_norm": 0.31098294258117676,
|
563 |
+
"learning_rate": 8.271734841028553e-05,
|
564 |
+
"loss": 1.2576,
|
565 |
+
"step": 76
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 0.003348044437680718,
|
569 |
+
"grad_norm": 0.3825020492076874,
|
570 |
+
"learning_rate": 7.633540738525066e-05,
|
571 |
+
"loss": 1.4109,
|
572 |
+
"step": 77
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 0.0033915255342739743,
|
576 |
+
"grad_norm": 0.3050486445426941,
|
577 |
+
"learning_rate": 7.016504991533726e-05,
|
578 |
+
"loss": 1.2529,
|
579 |
+
"step": 78
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.0034350066308672304,
|
583 |
+
"grad_norm": 0.32467782497406006,
|
584 |
+
"learning_rate": 6.421379363065141e-05,
|
585 |
+
"loss": 1.2961,
|
586 |
+
"step": 79
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 0.0034784877274604865,
|
590 |
+
"grad_norm": 0.3699512481689453,
|
591 |
+
"learning_rate": 5.848888922025553e-05,
|
592 |
+
"loss": 1.3251,
|
593 |
+
"step": 80
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 0.0035219688240537427,
|
597 |
+
"grad_norm": 0.4555168151855469,
|
598 |
+
"learning_rate": 5.299731159831953e-05,
|
599 |
+
"loss": 1.651,
|
600 |
+
"step": 81
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 0.003565449920646999,
|
604 |
+
"grad_norm": 0.32544296979904175,
|
605 |
+
"learning_rate": 4.7745751406263163e-05,
|
606 |
+
"loss": 1.2075,
|
607 |
+
"step": 82
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"epoch": 0.003608931017240255,
|
611 |
+
"grad_norm": 0.39769333600997925,
|
612 |
+
"learning_rate": 4.274060686123959e-05,
|
613 |
+
"loss": 1.2517,
|
614 |
+
"step": 83
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.003652412113833511,
|
618 |
+
"grad_norm": 0.3152201175689697,
|
619 |
+
"learning_rate": 3.798797596089351e-05,
|
620 |
+
"loss": 1.2101,
|
621 |
+
"step": 84
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 0.003695893210426767,
|
625 |
+
"grad_norm": 0.316663533449173,
|
626 |
+
"learning_rate": 3.3493649053890325e-05,
|
627 |
+
"loss": 1.2251,
|
628 |
+
"step": 85
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 0.003739374307020023,
|
632 |
+
"grad_norm": 0.35027015209198,
|
633 |
+
"learning_rate": 2.9263101785268254e-05,
|
634 |
+
"loss": 1.4636,
|
635 |
+
"step": 86
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 0.003782855403613279,
|
639 |
+
"grad_norm": 0.3649485409259796,
|
640 |
+
"learning_rate": 2.5301488425208295e-05,
|
641 |
+
"loss": 1.4837,
|
642 |
+
"step": 87
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 0.003826336500206535,
|
646 |
+
"grad_norm": 0.2650792598724365,
|
647 |
+
"learning_rate": 2.1613635589349755e-05,
|
648 |
+
"loss": 1.2395,
|
649 |
+
"step": 88
|
650 |
+
},
|
651 |
+
{
|
652 |
+
"epoch": 0.0038698175967997912,
|
653 |
+
"grad_norm": 0.3441864252090454,
|
654 |
+
"learning_rate": 1.8204036358303172e-05,
|
655 |
+
"loss": 1.4893,
|
656 |
+
"step": 89
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 0.003913298693393048,
|
660 |
+
"grad_norm": 0.3505742847919464,
|
661 |
+
"learning_rate": 1.5076844803522921e-05,
|
662 |
+
"loss": 1.3992,
|
663 |
+
"step": 90
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 0.003913298693393048,
|
667 |
+
"eval_loss": 1.3718498945236206,
|
668 |
+
"eval_runtime": 200.4209,
|
669 |
+
"eval_samples_per_second": 48.318,
|
670 |
+
"eval_steps_per_second": 24.159,
|
671 |
+
"step": 90
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 0.0039567797899863035,
|
675 |
+
"grad_norm": 0.3765980005264282,
|
676 |
+
"learning_rate": 1.2235870926211617e-05,
|
677 |
+
"loss": 1.3013,
|
678 |
+
"step": 91
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 0.004000260886579559,
|
682 |
+
"grad_norm": 0.32098492980003357,
|
683 |
+
"learning_rate": 9.684576015420277e-06,
|
684 |
+
"loss": 1.4673,
|
685 |
+
"step": 92
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 0.004043741983172816,
|
689 |
+
"grad_norm": 0.28441664576530457,
|
690 |
+
"learning_rate": 7.426068431000882e-06,
|
691 |
+
"loss": 1.296,
|
692 |
+
"step": 93
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 0.004087223079766071,
|
696 |
+
"grad_norm": 0.30115729570388794,
|
697 |
+
"learning_rate": 5.463099816548578e-06,
|
698 |
+
"loss": 1.2836,
|
699 |
+
"step": 94
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.004130704176359328,
|
703 |
+
"grad_norm": 0.3514503836631775,
|
704 |
+
"learning_rate": 3.798061746947995e-06,
|
705 |
+
"loss": 1.3655,
|
706 |
+
"step": 95
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 0.004174185272952584,
|
710 |
+
"grad_norm": 0.3625047504901886,
|
711 |
+
"learning_rate": 2.4329828146074094e-06,
|
712 |
+
"loss": 1.4103,
|
713 |
+
"step": 96
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 0.00421766636954584,
|
717 |
+
"grad_norm": 0.29829010367393494,
|
718 |
+
"learning_rate": 1.3695261579316775e-06,
|
719 |
+
"loss": 1.2565,
|
720 |
+
"step": 97
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 0.004261147466139096,
|
724 |
+
"grad_norm": 0.35181766748428345,
|
725 |
+
"learning_rate": 6.089874350439506e-07,
|
726 |
+
"loss": 1.4426,
|
727 |
+
"step": 98
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 0.0043046285627323525,
|
731 |
+
"grad_norm": 0.34040647745132446,
|
732 |
+
"learning_rate": 1.5229324522605948e-07,
|
733 |
+
"loss": 1.5999,
|
734 |
+
"step": 99
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.004348109659325608,
|
738 |
+
"grad_norm": 0.38123124837875366,
|
739 |
+
"learning_rate": 0.0,
|
740 |
+
"loss": 1.4659,
|
741 |
+
"step": 100
|
742 |
+
}
|
743 |
+
],
|
744 |
+
"logging_steps": 1,
|
745 |
+
"max_steps": 100,
|
746 |
+
"num_input_tokens_seen": 0,
|
747 |
+
"num_train_epochs": 1,
|
748 |
+
"save_steps": 300,
|
749 |
+
"stateful_callbacks": {
|
750 |
+
"TrainerControl": {
|
751 |
+
"args": {
|
752 |
+
"should_epoch_stop": false,
|
753 |
+
"should_evaluate": false,
|
754 |
+
"should_log": false,
|
755 |
+
"should_save": true,
|
756 |
+
"should_training_stop": true
|
757 |
+
},
|
758 |
+
"attributes": {}
|
759 |
+
}
|
760 |
+
},
|
761 |
+
"total_flos": 862309554585600.0,
|
762 |
+
"train_batch_size": 2,
|
763 |
+
"trial_name": null,
|
764 |
+
"trial_params": null
|
765 |
+
}
|
last-checkpoint/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1371bc043c26d66db123ba9e2a6fcea784d4ca88fa7a5cfee57b8a3c6d48f1e2
|
3 |
+
size 6712
|
last-checkpoint/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|