nttx commited on
Commit
29ab07a
·
verified ·
1 Parent(s): 9008bbc

Training in progress, step 50, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/SmolLM-360M
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/SmolLM-360M",
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": 128,
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": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "k_proj",
24
+ "q_proj",
25
+ "down_proj",
26
+ "gate_proj",
27
+ "v_proj",
28
+ "up_proj",
29
+ "o_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:c553098d5b7958cc9c70ff06a65fac512cfbba20a2542df0137f95b4be716c5c
3
+ size 138995824
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:e9ef018b497f82a54fdc885d73adedf45ef136b627e1b718434030acc94552da
3
+ size 278249554
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c6d9e816852c96075831d528f89ebc882513936aa1d1448f620109d00fa158df
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:79f5b4ba066d00b62be68b9f9ec9376def1ffea9a45f98d620f3198033186a6a
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|endoftext|>",
4
+ "<|im_start|>",
5
+ "<|im_end|>",
6
+ "<repo_name>",
7
+ "<reponame>",
8
+ "<file_sep>",
9
+ "<filename>",
10
+ "<gh_stars>",
11
+ "<issue_start>",
12
+ "<issue_comment>",
13
+ "<issue_closed>",
14
+ "<jupyter_start>",
15
+ "<jupyter_text>",
16
+ "<jupyter_code>",
17
+ "<jupyter_output>",
18
+ "<jupyter_script>",
19
+ "<empty_output>"
20
+ ],
21
+ "bos_token": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ },
28
+ "eos_token": {
29
+ "content": "<|endoftext|>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false
34
+ },
35
+ "pad_token": {
36
+ "content": "<empty_output>",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false
41
+ },
42
+ "unk_token": {
43
+ "content": "<|endoftext|>",
44
+ "lstrip": false,
45
+ "normalized": false,
46
+ "rstrip": false,
47
+ "single_word": false
48
+ }
49
+ }
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 +1,170 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ },
141
+ "additional_special_tokens": [
142
+ "<|endoftext|>",
143
+ "<|im_start|>",
144
+ "<|im_end|>",
145
+ "<repo_name>",
146
+ "<reponame>",
147
+ "<file_sep>",
148
+ "<filename>",
149
+ "<gh_stars>",
150
+ "<issue_start>",
151
+ "<issue_comment>",
152
+ "<issue_closed>",
153
+ "<jupyter_start>",
154
+ "<jupyter_text>",
155
+ "<jupyter_code>",
156
+ "<jupyter_output>",
157
+ "<jupyter_script>",
158
+ "<empty_output>"
159
+ ],
160
+ "bos_token": "<|endoftext|>",
161
+ "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 %}",
162
+ "clean_up_tokenization_spaces": false,
163
+ "eos_token": "<|endoftext|>",
164
+ "model_max_length": 1000000000000000019884624838656,
165
+ "pad_token": "<empty_output>",
166
+ "padding_side": "left",
167
+ "tokenizer_class": "GPT2Tokenizer",
168
+ "unk_token": "<|endoftext|>",
169
+ "vocab_size": 49152
170
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 2.229457378387451,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-50",
4
+ "epoch": 0.01681944327642755,
5
+ "eval_steps": 50,
6
+ "global_step": 50,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.00033638886552855103,
13
+ "grad_norm": 0.07795742154121399,
14
+ "learning_rate": 3.3333333333333333e-06,
15
+ "loss": 2.7769,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.00033638886552855103,
20
+ "eval_loss": 2.455552101135254,
21
+ "eval_runtime": 133.5909,
22
+ "eval_samples_per_second": 37.48,
23
+ "eval_steps_per_second": 18.744,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.0006727777310571021,
28
+ "grad_norm": 0.091961570084095,
29
+ "learning_rate": 6.666666666666667e-06,
30
+ "loss": 2.615,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.001009166596585653,
35
+ "grad_norm": 0.09707869589328766,
36
+ "learning_rate": 1e-05,
37
+ "loss": 2.4234,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.0013455554621142041,
42
+ "grad_norm": 0.09777762740850449,
43
+ "learning_rate": 1.3333333333333333e-05,
44
+ "loss": 2.4821,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.001681944327642755,
49
+ "grad_norm": 0.16171760857105255,
50
+ "learning_rate": 1.6666666666666667e-05,
51
+ "loss": 2.4558,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.002018333193171306,
56
+ "grad_norm": 0.10559370368719101,
57
+ "learning_rate": 2e-05,
58
+ "loss": 2.4765,
59
+ "step": 6
60
+ },
61
+ {
62
+ "epoch": 0.002354722058699857,
63
+ "grad_norm": 0.11369410157203674,
64
+ "learning_rate": 2.3333333333333336e-05,
65
+ "loss": 2.585,
66
+ "step": 7
67
+ },
68
+ {
69
+ "epoch": 0.0026911109242284082,
70
+ "grad_norm": 0.1158774346113205,
71
+ "learning_rate": 2.6666666666666667e-05,
72
+ "loss": 2.4602,
73
+ "step": 8
74
+ },
75
+ {
76
+ "epoch": 0.003027499789756959,
77
+ "grad_norm": 0.12309759110212326,
78
+ "learning_rate": 3e-05,
79
+ "loss": 2.4651,
80
+ "step": 9
81
+ },
82
+ {
83
+ "epoch": 0.00336388865528551,
84
+ "grad_norm": 0.13319513201713562,
85
+ "learning_rate": 3.3333333333333335e-05,
86
+ "loss": 2.309,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.0037002775208140612,
91
+ "grad_norm": 0.12856201827526093,
92
+ "learning_rate": 3.6666666666666666e-05,
93
+ "loss": 2.4663,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.004036666386342612,
98
+ "grad_norm": 0.12185679376125336,
99
+ "learning_rate": 4e-05,
100
+ "loss": 2.4488,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.004373055251871163,
105
+ "grad_norm": 0.12302099913358688,
106
+ "learning_rate": 4.3333333333333334e-05,
107
+ "loss": 2.3317,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.004709444117399714,
112
+ "grad_norm": 0.1280185580253601,
113
+ "learning_rate": 4.666666666666667e-05,
114
+ "loss": 2.3823,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.005045832982928265,
119
+ "grad_norm": 0.13406257331371307,
120
+ "learning_rate": 5e-05,
121
+ "loss": 2.3536,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.0053822218484568165,
126
+ "grad_norm": 0.1333453357219696,
127
+ "learning_rate": 5.333333333333333e-05,
128
+ "loss": 2.4247,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.005718610713985367,
133
+ "grad_norm": 0.12794539332389832,
134
+ "learning_rate": 5.666666666666667e-05,
135
+ "loss": 2.4933,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.006054999579513918,
140
+ "grad_norm": 0.12640050053596497,
141
+ "learning_rate": 6e-05,
142
+ "loss": 2.4592,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.0063913884450424695,
147
+ "grad_norm": 0.1311822533607483,
148
+ "learning_rate": 6.333333333333333e-05,
149
+ "loss": 2.2846,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.00672777731057102,
154
+ "grad_norm": 0.13246804475784302,
155
+ "learning_rate": 6.666666666666667e-05,
156
+ "loss": 2.4061,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.007064166176099571,
161
+ "grad_norm": 0.15557919442653656,
162
+ "learning_rate": 7e-05,
163
+ "loss": 2.2899,
164
+ "step": 21
165
+ },
166
+ {
167
+ "epoch": 0.0074005550416281225,
168
+ "grad_norm": 0.13837924599647522,
169
+ "learning_rate": 7.333333333333333e-05,
170
+ "loss": 2.5681,
171
+ "step": 22
172
+ },
173
+ {
174
+ "epoch": 0.007736943907156673,
175
+ "grad_norm": 0.1440717875957489,
176
+ "learning_rate": 7.666666666666667e-05,
177
+ "loss": 2.3665,
178
+ "step": 23
179
+ },
180
+ {
181
+ "epoch": 0.008073332772685224,
182
+ "grad_norm": 0.15145528316497803,
183
+ "learning_rate": 8e-05,
184
+ "loss": 2.2948,
185
+ "step": 24
186
+ },
187
+ {
188
+ "epoch": 0.008409721638213775,
189
+ "grad_norm": 0.1539720594882965,
190
+ "learning_rate": 8.333333333333334e-05,
191
+ "loss": 2.3214,
192
+ "step": 25
193
+ },
194
+ {
195
+ "epoch": 0.008746110503742325,
196
+ "grad_norm": 0.14122752845287323,
197
+ "learning_rate": 8.666666666666667e-05,
198
+ "loss": 2.2708,
199
+ "step": 26
200
+ },
201
+ {
202
+ "epoch": 0.009082499369270877,
203
+ "grad_norm": 0.15089313685894012,
204
+ "learning_rate": 9e-05,
205
+ "loss": 2.3226,
206
+ "step": 27
207
+ },
208
+ {
209
+ "epoch": 0.009418888234799428,
210
+ "grad_norm": 0.200881689786911,
211
+ "learning_rate": 9.333333333333334e-05,
212
+ "loss": 2.3429,
213
+ "step": 28
214
+ },
215
+ {
216
+ "epoch": 0.00975527710032798,
217
+ "grad_norm": 0.1588452160358429,
218
+ "learning_rate": 9.666666666666667e-05,
219
+ "loss": 2.2316,
220
+ "step": 29
221
+ },
222
+ {
223
+ "epoch": 0.01009166596585653,
224
+ "grad_norm": 0.18878738582134247,
225
+ "learning_rate": 0.0001,
226
+ "loss": 2.249,
227
+ "step": 30
228
+ },
229
+ {
230
+ "epoch": 0.010428054831385081,
231
+ "grad_norm": 0.19466233253479004,
232
+ "learning_rate": 9.999146252290264e-05,
233
+ "loss": 2.2815,
234
+ "step": 31
235
+ },
236
+ {
237
+ "epoch": 0.010764443696913633,
238
+ "grad_norm": 0.23344077169895172,
239
+ "learning_rate": 9.996585300715116e-05,
240
+ "loss": 2.2785,
241
+ "step": 32
242
+ },
243
+ {
244
+ "epoch": 0.011100832562442183,
245
+ "grad_norm": 0.23798418045043945,
246
+ "learning_rate": 9.99231801983717e-05,
247
+ "loss": 2.0524,
248
+ "step": 33
249
+ },
250
+ {
251
+ "epoch": 0.011437221427970734,
252
+ "grad_norm": 0.19358737766742706,
253
+ "learning_rate": 9.986345866928941e-05,
254
+ "loss": 2.0744,
255
+ "step": 34
256
+ },
257
+ {
258
+ "epoch": 0.011773610293499286,
259
+ "grad_norm": 0.19671595096588135,
260
+ "learning_rate": 9.978670881475172e-05,
261
+ "loss": 2.1176,
262
+ "step": 35
263
+ },
264
+ {
265
+ "epoch": 0.012109999159027836,
266
+ "grad_norm": 0.20317138731479645,
267
+ "learning_rate": 9.96929568447637e-05,
268
+ "loss": 2.2187,
269
+ "step": 36
270
+ },
271
+ {
272
+ "epoch": 0.012446388024556387,
273
+ "grad_norm": 0.19243532419204712,
274
+ "learning_rate": 9.958223477553714e-05,
275
+ "loss": 1.9553,
276
+ "step": 37
277
+ },
278
+ {
279
+ "epoch": 0.012782776890084939,
280
+ "grad_norm": 0.17963586747646332,
281
+ "learning_rate": 9.94545804185573e-05,
282
+ "loss": 2.0921,
283
+ "step": 38
284
+ },
285
+ {
286
+ "epoch": 0.013119165755613489,
287
+ "grad_norm": 0.20728521049022675,
288
+ "learning_rate": 9.931003736767013e-05,
289
+ "loss": 2.3093,
290
+ "step": 39
291
+ },
292
+ {
293
+ "epoch": 0.01345555462114204,
294
+ "grad_norm": 0.2048047035932541,
295
+ "learning_rate": 9.91486549841951e-05,
296
+ "loss": 2.2137,
297
+ "step": 40
298
+ },
299
+ {
300
+ "epoch": 0.013791943486670592,
301
+ "grad_norm": 0.199965700507164,
302
+ "learning_rate": 9.89704883800683e-05,
303
+ "loss": 2.1698,
304
+ "step": 41
305
+ },
306
+ {
307
+ "epoch": 0.014128332352199142,
308
+ "grad_norm": 0.2382458597421646,
309
+ "learning_rate": 9.877559839902184e-05,
310
+ "loss": 2.1951,
311
+ "step": 42
312
+ },
313
+ {
314
+ "epoch": 0.014464721217727693,
315
+ "grad_norm": 0.19734260439872742,
316
+ "learning_rate": 9.85640515958057e-05,
317
+ "loss": 2.118,
318
+ "step": 43
319
+ },
320
+ {
321
+ "epoch": 0.014801110083256245,
322
+ "grad_norm": 0.23887623846530914,
323
+ "learning_rate": 9.833592021345937e-05,
324
+ "loss": 2.133,
325
+ "step": 44
326
+ },
327
+ {
328
+ "epoch": 0.015137498948784795,
329
+ "grad_norm": 0.21855773031711578,
330
+ "learning_rate": 9.809128215864097e-05,
331
+ "loss": 2.182,
332
+ "step": 45
333
+ },
334
+ {
335
+ "epoch": 0.015473887814313346,
336
+ "grad_norm": 0.24946734309196472,
337
+ "learning_rate": 9.783022097502204e-05,
338
+ "loss": 2.2907,
339
+ "step": 46
340
+ },
341
+ {
342
+ "epoch": 0.015810276679841896,
343
+ "grad_norm": 0.23966045677661896,
344
+ "learning_rate": 9.755282581475769e-05,
345
+ "loss": 2.1424,
346
+ "step": 47
347
+ },
348
+ {
349
+ "epoch": 0.016146665545370448,
350
+ "grad_norm": 0.29373985528945923,
351
+ "learning_rate": 9.725919140804099e-05,
352
+ "loss": 2.2907,
353
+ "step": 48
354
+ },
355
+ {
356
+ "epoch": 0.016483054410899,
357
+ "grad_norm": 0.2858251631259918,
358
+ "learning_rate": 9.694941803075283e-05,
359
+ "loss": 1.9196,
360
+ "step": 49
361
+ },
362
+ {
363
+ "epoch": 0.01681944327642755,
364
+ "grad_norm": 0.44232481718063354,
365
+ "learning_rate": 9.662361147021779e-05,
366
+ "loss": 2.2586,
367
+ "step": 50
368
+ },
369
+ {
370
+ "epoch": 0.01681944327642755,
371
+ "eval_loss": 2.229457378387451,
372
+ "eval_runtime": 133.8125,
373
+ "eval_samples_per_second": 37.418,
374
+ "eval_steps_per_second": 18.713,
375
+ "step": 50
376
+ }
377
+ ],
378
+ "logging_steps": 1,
379
+ "max_steps": 200,
380
+ "num_input_tokens_seen": 0,
381
+ "num_train_epochs": 1,
382
+ "save_steps": 50,
383
+ "stateful_callbacks": {
384
+ "EarlyStoppingCallback": {
385
+ "args": {
386
+ "early_stopping_patience": 5,
387
+ "early_stopping_threshold": 0.0
388
+ },
389
+ "attributes": {
390
+ "early_stopping_patience_counter": 0
391
+ }
392
+ },
393
+ "TrainerControl": {
394
+ "args": {
395
+ "should_epoch_stop": false,
396
+ "should_evaluate": false,
397
+ "should_log": false,
398
+ "should_save": true,
399
+ "should_training_stop": false
400
+ },
401
+ "attributes": {}
402
+ }
403
+ },
404
+ "total_flos": 3451611968962560.0,
405
+ "train_batch_size": 8,
406
+ "trial_name": null,
407
+ "trial_params": null
408
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d18b2f30113a064b826d88374da5293a135c141ef5dce03e3d0cc4d8e9946be
3
+ size 6840
last-checkpoint/vocab.json ADDED
The diff for this file is too large to render. See raw diff