yalhessi commited on
Commit
0403a46
·
verified ·
1 Parent(s): 951015c

Training in progress, epoch 11, checkpoint

Browse files
checkpoint-39589/README.md ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: deepseek-ai/deepseek-coder-6.7b-base
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:deepseek-ai/deepseek-coder-6.7b-base
7
+ - lora
8
+ - transformers
9
+ ---
10
+
11
+ # Model Card for Model ID
12
+
13
+ <!-- Provide a quick summary of what the model is/does. -->
14
+
15
+
16
+
17
+ ## Model Details
18
+
19
+ ### Model Description
20
+
21
+ <!-- Provide a longer summary of what this model is. -->
22
+
23
+
24
+
25
+ - **Developed by:** [More Information Needed]
26
+ - **Funded by [optional]:** [More Information Needed]
27
+ - **Shared by [optional]:** [More Information Needed]
28
+ - **Model type:** [More Information Needed]
29
+ - **Language(s) (NLP):** [More Information Needed]
30
+ - **License:** [More Information Needed]
31
+ - **Finetuned from model [optional]:** [More Information Needed]
32
+
33
+ ### Model Sources [optional]
34
+
35
+ <!-- Provide the basic links for the model. -->
36
+
37
+ - **Repository:** [More Information Needed]
38
+ - **Paper [optional]:** [More Information Needed]
39
+ - **Demo [optional]:** [More Information Needed]
40
+
41
+ ## Uses
42
+
43
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
44
+
45
+ ### Direct Use
46
+
47
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Downstream Use [optional]
52
+
53
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
54
+
55
+ [More Information Needed]
56
+
57
+ ### Out-of-Scope Use
58
+
59
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ## Bias, Risks, and Limitations
64
+
65
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
66
+
67
+ [More Information Needed]
68
+
69
+ ### Recommendations
70
+
71
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
72
+
73
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
74
+
75
+ ## How to Get Started with the Model
76
+
77
+ Use the code below to get started with the model.
78
+
79
+ [More Information Needed]
80
+
81
+ ## Training Details
82
+
83
+ ### Training Data
84
+
85
+ <!-- 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. -->
86
+
87
+ [More Information Needed]
88
+
89
+ ### Training Procedure
90
+
91
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
92
+
93
+ #### Preprocessing [optional]
94
+
95
+ [More Information Needed]
96
+
97
+
98
+ #### Training Hyperparameters
99
+
100
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
101
+
102
+ #### Speeds, Sizes, Times [optional]
103
+
104
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
105
+
106
+ [More Information Needed]
107
+
108
+ ## Evaluation
109
+
110
+ <!-- This section describes the evaluation protocols and provides the results. -->
111
+
112
+ ### Testing Data, Factors & Metrics
113
+
114
+ #### Testing Data
115
+
116
+ <!-- This should link to a Dataset Card if possible. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Factors
121
+
122
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
123
+
124
+ [More Information Needed]
125
+
126
+ #### Metrics
127
+
128
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
129
+
130
+ [More Information Needed]
131
+
132
+ ### Results
133
+
134
+ [More Information Needed]
135
+
136
+ #### Summary
137
+
138
+
139
+
140
+ ## Model Examination [optional]
141
+
142
+ <!-- Relevant interpretability work for the model goes here -->
143
+
144
+ [More Information Needed]
145
+
146
+ ## Environmental Impact
147
+
148
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
+
150
+ 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).
151
+
152
+ - **Hardware Type:** [More Information Needed]
153
+ - **Hours used:** [More Information Needed]
154
+ - **Cloud Provider:** [More Information Needed]
155
+ - **Compute Region:** [More Information Needed]
156
+ - **Carbon Emitted:** [More Information Needed]
157
+
158
+ ## Technical Specifications [optional]
159
+
160
+ ### Model Architecture and Objective
161
+
162
+ [More Information Needed]
163
+
164
+ ### Compute Infrastructure
165
+
166
+ [More Information Needed]
167
+
168
+ #### Hardware
169
+
170
+ [More Information Needed]
171
+
172
+ #### Software
173
+
174
+ [More Information Needed]
175
+
176
+ ## Citation [optional]
177
+
178
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
179
+
180
+ **BibTeX:**
181
+
182
+ [More Information Needed]
183
+
184
+ **APA:**
185
+
186
+ [More Information Needed]
187
+
188
+ ## Glossary [optional]
189
+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
191
+
192
+ [More Information Needed]
193
+
194
+ ## More Information [optional]
195
+
196
+ [More Information Needed]
197
+
198
+ ## Model Card Authors [optional]
199
+
200
+ [More Information Needed]
201
+
202
+ ## Model Card Contact
203
+
204
+ [More Information Needed]
205
+ ### Framework versions
206
+
207
+ - PEFT 0.17.1
checkpoint-39589/adapter_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "deepseek-ai/deepseek-coder-6.7b-base",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 32,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.05,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "qalora_group_size": 16,
24
+ "r": 8,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "q_proj",
29
+ "v_proj"
30
+ ],
31
+ "target_parameters": null,
32
+ "task_type": "CAUSAL_LM",
33
+ "trainable_token_indices": null,
34
+ "use_dora": false,
35
+ "use_qalora": false,
36
+ "use_rslora": false
37
+ }
checkpoint-39589/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cef7e1b711bd5efef01490b609f1112c8f08ec39ed9f4c61d18f8e002caa0940
3
+ size 541442872
checkpoint-39589/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:691c7603cd431fe8c93408636c3af81a033edd7a9f11ca39d3614c22cfb84dd3
3
+ size 33664331
checkpoint-39589/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9b6d53566ef6afc9c4993826fd827f05704451821c887cfe85fe20d22ef1053b
3
+ size 15429
checkpoint-39589/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:57b8b227fae0634852702fdf99aac335b79f1f53acd21a44c714505579ce6d5f
3
+ size 15429
checkpoint-39589/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:035856d180f1062a7a248dfb0b038718866c82fcf14d81f1cd195794e77a88fe
3
+ size 15429
checkpoint-39589/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:161fb19dc762e590232219aea99a082f8bbf05c503a393cec7a4de87d046255c
3
+ size 15429
checkpoint-39589/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:50e006ce9d93bdd733a0bdcdcfcec0cdee2fd560c662b7cc71b7db166a44be4e
3
+ size 1383
checkpoint-39589/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:54f8f082d4500250f6305cbb9aeab91cafe6037dc9ff774a53827e8ee67da33b
3
+ size 1465
checkpoint-39589/special_tokens_map.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|begin▁of▁sentence|>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|end▁of▁sentence|>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<|end▁of▁sentence|>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ }
23
+ }
checkpoint-39589/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-39589/tokenizer_config.json ADDED
@@ -0,0 +1,194 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "32000": {
7
+ "content": "õ",
8
+ "lstrip": false,
9
+ "normalized": true,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": false
13
+ },
14
+ "32001": {
15
+ "content": "÷",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": false
21
+ },
22
+ "32002": {
23
+ "content": "Á",
24
+ "lstrip": false,
25
+ "normalized": true,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": false
29
+ },
30
+ "32003": {
31
+ "content": "ý",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": false
37
+ },
38
+ "32004": {
39
+ "content": "À",
40
+ "lstrip": false,
41
+ "normalized": true,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": false
45
+ },
46
+ "32005": {
47
+ "content": "ÿ",
48
+ "lstrip": false,
49
+ "normalized": true,
50
+ "rstrip": false,
51
+ "single_word": false,
52
+ "special": false
53
+ },
54
+ "32006": {
55
+ "content": "ø",
56
+ "lstrip": false,
57
+ "normalized": true,
58
+ "rstrip": false,
59
+ "single_word": false,
60
+ "special": false
61
+ },
62
+ "32007": {
63
+ "content": "ú",
64
+ "lstrip": false,
65
+ "normalized": true,
66
+ "rstrip": false,
67
+ "single_word": false,
68
+ "special": false
69
+ },
70
+ "32008": {
71
+ "content": "þ",
72
+ "lstrip": false,
73
+ "normalized": true,
74
+ "rstrip": false,
75
+ "single_word": false,
76
+ "special": false
77
+ },
78
+ "32009": {
79
+ "content": "ü",
80
+ "lstrip": false,
81
+ "normalized": true,
82
+ "rstrip": false,
83
+ "single_word": false,
84
+ "special": false
85
+ },
86
+ "32010": {
87
+ "content": "ù",
88
+ "lstrip": false,
89
+ "normalized": true,
90
+ "rstrip": false,
91
+ "single_word": false,
92
+ "special": false
93
+ },
94
+ "32011": {
95
+ "content": "ö",
96
+ "lstrip": false,
97
+ "normalized": true,
98
+ "rstrip": false,
99
+ "single_word": false,
100
+ "special": false
101
+ },
102
+ "32012": {
103
+ "content": "û",
104
+ "lstrip": false,
105
+ "normalized": true,
106
+ "rstrip": false,
107
+ "single_word": false,
108
+ "special": false
109
+ },
110
+ "32013": {
111
+ "content": "<|begin▁of▁sentence|>",
112
+ "lstrip": false,
113
+ "normalized": true,
114
+ "rstrip": false,
115
+ "single_word": false,
116
+ "special": true
117
+ },
118
+ "32014": {
119
+ "content": "<|end▁of▁sentence|>",
120
+ "lstrip": false,
121
+ "normalized": true,
122
+ "rstrip": false,
123
+ "single_word": false,
124
+ "special": true
125
+ },
126
+ "32015": {
127
+ "content": "<|fim▁hole|>",
128
+ "lstrip": false,
129
+ "normalized": true,
130
+ "rstrip": false,
131
+ "single_word": false,
132
+ "special": false
133
+ },
134
+ "32016": {
135
+ "content": "<|fim▁begin|>",
136
+ "lstrip": false,
137
+ "normalized": true,
138
+ "rstrip": false,
139
+ "single_word": false,
140
+ "special": false
141
+ },
142
+ "32017": {
143
+ "content": "<|fim▁end|>",
144
+ "lstrip": false,
145
+ "normalized": true,
146
+ "rstrip": false,
147
+ "single_word": false,
148
+ "special": false
149
+ },
150
+ "32018": {
151
+ "content": "<pad>",
152
+ "lstrip": false,
153
+ "normalized": true,
154
+ "rstrip": false,
155
+ "single_word": false,
156
+ "special": false
157
+ },
158
+ "32019": {
159
+ "content": "<|User|>",
160
+ "lstrip": false,
161
+ "normalized": true,
162
+ "rstrip": false,
163
+ "single_word": false,
164
+ "special": false
165
+ },
166
+ "32020": {
167
+ "content": "<|Assistant|>",
168
+ "lstrip": false,
169
+ "normalized": true,
170
+ "rstrip": false,
171
+ "single_word": false,
172
+ "special": false
173
+ },
174
+ "32021": {
175
+ "content": "<|EOT|>",
176
+ "lstrip": false,
177
+ "normalized": true,
178
+ "rstrip": false,
179
+ "single_word": false,
180
+ "special": false
181
+ }
182
+ },
183
+ "bos_token": "<|begin▁of▁sentence|>",
184
+ "clean_up_tokenization_spaces": false,
185
+ "eos_token": "<|end▁of▁sentence|>",
186
+ "extra_special_tokens": {},
187
+ "legacy": true,
188
+ "model_max_length": 16384,
189
+ "pad_token": "<|end▁of▁sentence|>",
190
+ "sp_model_kwargs": {},
191
+ "tokenizer_class": "LlamaTokenizerFast",
192
+ "unk_token": null,
193
+ "use_default_system_prompt": false
194
+ }
checkpoint-39589/trainer_state.json ADDED
@@ -0,0 +1,1019 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 11.0,
6
+ "eval_steps": 720,
7
+ "global_step": 39589,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.13892747985551543,
14
+ "grad_norm": 0.6049483418464661,
15
+ "learning_rate": 0.00039537834583680656,
16
+ "loss": 0.4045,
17
+ "step": 500
18
+ },
19
+ {
20
+ "epoch": 0.2000555709919422,
21
+ "eval_loss": 0.3253306448459625,
22
+ "eval_runtime": 12.9469,
23
+ "eval_samples_per_second": 38.619,
24
+ "eval_steps_per_second": 4.866,
25
+ "step": 720
26
+ },
27
+ {
28
+ "epoch": 0.27785495971103086,
29
+ "grad_norm": 0.6276679039001465,
30
+ "learning_rate": 0.0003907474298416227,
31
+ "loss": 0.3156,
32
+ "step": 1000
33
+ },
34
+ {
35
+ "epoch": 0.4001111419838844,
36
+ "eval_loss": 0.29051902890205383,
37
+ "eval_runtime": 12.6392,
38
+ "eval_samples_per_second": 39.56,
39
+ "eval_steps_per_second": 4.985,
40
+ "step": 1440
41
+ },
42
+ {
43
+ "epoch": 0.41678243956654626,
44
+ "grad_norm": 0.6468805074691772,
45
+ "learning_rate": 0.00038611651384643886,
46
+ "loss": 0.2857,
47
+ "step": 1500
48
+ },
49
+ {
50
+ "epoch": 0.5557099194220617,
51
+ "grad_norm": 0.6646202206611633,
52
+ "learning_rate": 0.000381485597851255,
53
+ "loss": 0.2636,
54
+ "step": 2000
55
+ },
56
+ {
57
+ "epoch": 0.6001667129758266,
58
+ "eval_loss": 0.2643604874610901,
59
+ "eval_runtime": 12.8691,
60
+ "eval_samples_per_second": 38.853,
61
+ "eval_steps_per_second": 4.895,
62
+ "step": 2160
63
+ },
64
+ {
65
+ "epoch": 0.6946373992775771,
66
+ "grad_norm": 0.512627124786377,
67
+ "learning_rate": 0.00037685468185607115,
68
+ "loss": 0.2455,
69
+ "step": 2500
70
+ },
71
+ {
72
+ "epoch": 0.8002222839677688,
73
+ "eval_loss": 0.24014389514923096,
74
+ "eval_runtime": 12.6518,
75
+ "eval_samples_per_second": 39.52,
76
+ "eval_steps_per_second": 4.98,
77
+ "step": 2880
78
+ },
79
+ {
80
+ "epoch": 0.8335648791330925,
81
+ "grad_norm": 0.5946218371391296,
82
+ "learning_rate": 0.0003722237658608873,
83
+ "loss": 0.232,
84
+ "step": 3000
85
+ },
86
+ {
87
+ "epoch": 0.972492358988608,
88
+ "grad_norm": 0.6397203803062439,
89
+ "learning_rate": 0.00036759284986570345,
90
+ "loss": 0.227,
91
+ "step": 3500
92
+ },
93
+ {
94
+ "epoch": 1.000277854959711,
95
+ "eval_loss": 0.23284229636192322,
96
+ "eval_runtime": 13.3745,
97
+ "eval_samples_per_second": 37.385,
98
+ "eval_steps_per_second": 4.71,
99
+ "step": 3600
100
+ },
101
+ {
102
+ "epoch": 1.1114198388441234,
103
+ "grad_norm": 0.9304324984550476,
104
+ "learning_rate": 0.0003629619338705196,
105
+ "loss": 0.1903,
106
+ "step": 4000
107
+ },
108
+ {
109
+ "epoch": 1.2003334259516532,
110
+ "eval_loss": 0.22673270106315613,
111
+ "eval_runtime": 12.5927,
112
+ "eval_samples_per_second": 39.706,
113
+ "eval_steps_per_second": 5.003,
114
+ "step": 4320
115
+ },
116
+ {
117
+ "epoch": 1.2503473186996388,
118
+ "grad_norm": 0.7105266451835632,
119
+ "learning_rate": 0.00035833101787533574,
120
+ "loss": 0.1897,
121
+ "step": 4500
122
+ },
123
+ {
124
+ "epoch": 1.3892747985551543,
125
+ "grad_norm": 0.8217107057571411,
126
+ "learning_rate": 0.0003537001018801519,
127
+ "loss": 0.1872,
128
+ "step": 5000
129
+ },
130
+ {
131
+ "epoch": 1.4003889969435954,
132
+ "eval_loss": 0.21865838766098022,
133
+ "eval_runtime": 12.5947,
134
+ "eval_samples_per_second": 39.699,
135
+ "eval_steps_per_second": 5.002,
136
+ "step": 5040
137
+ },
138
+ {
139
+ "epoch": 1.5282022784106695,
140
+ "grad_norm": 0.664078414440155,
141
+ "learning_rate": 0.00034906918588496804,
142
+ "loss": 0.1831,
143
+ "step": 5500
144
+ },
145
+ {
146
+ "epoch": 1.6004445679355377,
147
+ "eval_loss": 0.2104523777961731,
148
+ "eval_runtime": 12.7945,
149
+ "eval_samples_per_second": 39.079,
150
+ "eval_steps_per_second": 4.924,
151
+ "step": 5760
152
+ },
153
+ {
154
+ "epoch": 1.667129758266185,
155
+ "grad_norm": 0.6712161898612976,
156
+ "learning_rate": 0.0003444382698897842,
157
+ "loss": 0.1785,
158
+ "step": 6000
159
+ },
160
+ {
161
+ "epoch": 1.8005001389274797,
162
+ "eval_loss": 0.20817357301712036,
163
+ "eval_runtime": 12.7871,
164
+ "eval_samples_per_second": 39.102,
165
+ "eval_steps_per_second": 4.927,
166
+ "step": 6480
167
+ },
168
+ {
169
+ "epoch": 1.8060572381217006,
170
+ "grad_norm": 0.5696629285812378,
171
+ "learning_rate": 0.0003398073538946004,
172
+ "loss": 0.1737,
173
+ "step": 6500
174
+ },
175
+ {
176
+ "epoch": 1.9449847179772157,
177
+ "grad_norm": 0.5998601913452148,
178
+ "learning_rate": 0.0003351764378994165,
179
+ "loss": 0.1736,
180
+ "step": 7000
181
+ },
182
+ {
183
+ "epoch": 2.000555709919422,
184
+ "eval_loss": 0.19734103977680206,
185
+ "eval_runtime": 12.6069,
186
+ "eval_samples_per_second": 39.661,
187
+ "eval_steps_per_second": 4.997,
188
+ "step": 7200
189
+ },
190
+ {
191
+ "epoch": 2.0839121978327313,
192
+ "grad_norm": 0.8763924241065979,
193
+ "learning_rate": 0.0003305455219042327,
194
+ "loss": 0.1512,
195
+ "step": 7500
196
+ },
197
+ {
198
+ "epoch": 2.2006112809113643,
199
+ "eval_loss": 0.1998797059059143,
200
+ "eval_runtime": 12.5576,
201
+ "eval_samples_per_second": 39.816,
202
+ "eval_steps_per_second": 5.017,
203
+ "step": 7920
204
+ },
205
+ {
206
+ "epoch": 2.222839677688247,
207
+ "grad_norm": 0.8139877915382385,
208
+ "learning_rate": 0.0003259146059090488,
209
+ "loss": 0.1403,
210
+ "step": 8000
211
+ },
212
+ {
213
+ "epoch": 2.361767157543762,
214
+ "grad_norm": 0.6765368580818176,
215
+ "learning_rate": 0.000321283689913865,
216
+ "loss": 0.1414,
217
+ "step": 8500
218
+ },
219
+ {
220
+ "epoch": 2.4006668519033063,
221
+ "eval_loss": 0.19732815027236938,
222
+ "eval_runtime": 12.6446,
223
+ "eval_samples_per_second": 39.543,
224
+ "eval_steps_per_second": 4.982,
225
+ "step": 8640
226
+ },
227
+ {
228
+ "epoch": 2.5006946373992776,
229
+ "grad_norm": 0.6791777014732361,
230
+ "learning_rate": 0.00031665277391868115,
231
+ "loss": 0.1413,
232
+ "step": 9000
233
+ },
234
+ {
235
+ "epoch": 2.600722422895249,
236
+ "eval_loss": 0.18912270665168762,
237
+ "eval_runtime": 12.7219,
238
+ "eval_samples_per_second": 39.302,
239
+ "eval_steps_per_second": 4.952,
240
+ "step": 9360
241
+ },
242
+ {
243
+ "epoch": 2.639622117254793,
244
+ "grad_norm": 0.7267652750015259,
245
+ "learning_rate": 0.00031202185792349727,
246
+ "loss": 0.139,
247
+ "step": 9500
248
+ },
249
+ {
250
+ "epoch": 2.7785495971103087,
251
+ "grad_norm": 0.4005363881587982,
252
+ "learning_rate": 0.0003073909419283134,
253
+ "loss": 0.1397,
254
+ "step": 10000
255
+ },
256
+ {
257
+ "epoch": 2.800777993887191,
258
+ "eval_loss": 0.1857079565525055,
259
+ "eval_runtime": 12.6567,
260
+ "eval_samples_per_second": 39.505,
261
+ "eval_steps_per_second": 4.978,
262
+ "step": 10080
263
+ },
264
+ {
265
+ "epoch": 2.917477076965824,
266
+ "grad_norm": 0.8150336742401123,
267
+ "learning_rate": 0.00030276002593312957,
268
+ "loss": 0.1401,
269
+ "step": 10500
270
+ },
271
+ {
272
+ "epoch": 3.000833564879133,
273
+ "eval_loss": 0.18395407497882843,
274
+ "eval_runtime": 12.6261,
275
+ "eval_samples_per_second": 39.6,
276
+ "eval_steps_per_second": 4.99,
277
+ "step": 10800
278
+ },
279
+ {
280
+ "epoch": 3.0564045568213394,
281
+ "grad_norm": 0.6333420276641846,
282
+ "learning_rate": 0.00029812910993794574,
283
+ "loss": 0.1262,
284
+ "step": 11000
285
+ },
286
+ {
287
+ "epoch": 3.1953320366768545,
288
+ "grad_norm": 0.46257224678993225,
289
+ "learning_rate": 0.0002934981939427619,
290
+ "loss": 0.1111,
291
+ "step": 11500
292
+ },
293
+ {
294
+ "epoch": 3.2008891358710754,
295
+ "eval_loss": 0.18369066715240479,
296
+ "eval_runtime": 12.6247,
297
+ "eval_samples_per_second": 39.605,
298
+ "eval_steps_per_second": 4.99,
299
+ "step": 11520
300
+ },
301
+ {
302
+ "epoch": 3.33425951653237,
303
+ "grad_norm": 0.7679395079612732,
304
+ "learning_rate": 0.00028886727794757804,
305
+ "loss": 0.1135,
306
+ "step": 12000
307
+ },
308
+ {
309
+ "epoch": 3.4009447068630174,
310
+ "eval_loss": 0.18193913996219635,
311
+ "eval_runtime": 12.625,
312
+ "eval_samples_per_second": 39.604,
313
+ "eval_steps_per_second": 4.99,
314
+ "step": 12240
315
+ },
316
+ {
317
+ "epoch": 3.4731869963878856,
318
+ "grad_norm": 0.576283872127533,
319
+ "learning_rate": 0.00028423636195239416,
320
+ "loss": 0.1138,
321
+ "step": 12500
322
+ },
323
+ {
324
+ "epoch": 3.6010002778549595,
325
+ "eval_loss": 0.18214693665504456,
326
+ "eval_runtime": 12.6409,
327
+ "eval_samples_per_second": 39.554,
328
+ "eval_steps_per_second": 4.984,
329
+ "step": 12960
330
+ },
331
+ {
332
+ "epoch": 3.612114476243401,
333
+ "grad_norm": 0.8275533318519592,
334
+ "learning_rate": 0.00027960544595721033,
335
+ "loss": 0.1148,
336
+ "step": 13000
337
+ },
338
+ {
339
+ "epoch": 3.7510419560989163,
340
+ "grad_norm": 0.7274850010871887,
341
+ "learning_rate": 0.0002749745299620265,
342
+ "loss": 0.1133,
343
+ "step": 13500
344
+ },
345
+ {
346
+ "epoch": 3.801055848846902,
347
+ "eval_loss": 0.17986078560352325,
348
+ "eval_runtime": 12.6956,
349
+ "eval_samples_per_second": 39.384,
350
+ "eval_steps_per_second": 4.962,
351
+ "step": 13680
352
+ },
353
+ {
354
+ "epoch": 3.889969435954432,
355
+ "grad_norm": 0.6496698260307312,
356
+ "learning_rate": 0.0002703436139668427,
357
+ "loss": 0.1147,
358
+ "step": 14000
359
+ },
360
+ {
361
+ "epoch": 4.001111419838844,
362
+ "eval_loss": 0.1769217699766159,
363
+ "eval_runtime": 12.661,
364
+ "eval_samples_per_second": 39.491,
365
+ "eval_steps_per_second": 4.976,
366
+ "step": 14400
367
+ },
368
+ {
369
+ "epoch": 4.0288969158099475,
370
+ "grad_norm": 0.72037273645401,
371
+ "learning_rate": 0.0002657126979716588,
372
+ "loss": 0.1069,
373
+ "step": 14500
374
+ },
375
+ {
376
+ "epoch": 4.167824395665463,
377
+ "grad_norm": 0.7723105549812317,
378
+ "learning_rate": 0.0002610817819764749,
379
+ "loss": 0.0871,
380
+ "step": 15000
381
+ },
382
+ {
383
+ "epoch": 4.201166990830786,
384
+ "eval_loss": 0.1821662336587906,
385
+ "eval_runtime": 12.6066,
386
+ "eval_samples_per_second": 39.662,
387
+ "eval_steps_per_second": 4.997,
388
+ "step": 15120
389
+ },
390
+ {
391
+ "epoch": 4.306751875520978,
392
+ "grad_norm": 0.5981574654579163,
393
+ "learning_rate": 0.0002564508659812911,
394
+ "loss": 0.0902,
395
+ "step": 15500
396
+ },
397
+ {
398
+ "epoch": 4.4012225618227285,
399
+ "eval_loss": 0.18598410487174988,
400
+ "eval_runtime": 12.5969,
401
+ "eval_samples_per_second": 39.692,
402
+ "eval_steps_per_second": 5.001,
403
+ "step": 15840
404
+ },
405
+ {
406
+ "epoch": 4.445679355376494,
407
+ "grad_norm": 0.7958341240882874,
408
+ "learning_rate": 0.00025181994998610727,
409
+ "loss": 0.0915,
410
+ "step": 16000
411
+ },
412
+ {
413
+ "epoch": 4.584606835232009,
414
+ "grad_norm": 0.6806578636169434,
415
+ "learning_rate": 0.00024718903399092345,
416
+ "loss": 0.0921,
417
+ "step": 16500
418
+ },
419
+ {
420
+ "epoch": 4.601278132814671,
421
+ "eval_loss": 0.1808934509754181,
422
+ "eval_runtime": 12.8476,
423
+ "eval_samples_per_second": 38.918,
424
+ "eval_steps_per_second": 4.904,
425
+ "step": 16560
426
+ },
427
+ {
428
+ "epoch": 4.723534315087524,
429
+ "grad_norm": 0.9893471002578735,
430
+ "learning_rate": 0.00024255811799573954,
431
+ "loss": 0.0956,
432
+ "step": 17000
433
+ },
434
+ {
435
+ "epoch": 4.801333703806613,
436
+ "eval_loss": 0.16961801052093506,
437
+ "eval_runtime": 12.6325,
438
+ "eval_samples_per_second": 39.58,
439
+ "eval_steps_per_second": 4.987,
440
+ "step": 17280
441
+ },
442
+ {
443
+ "epoch": 4.86246179494304,
444
+ "grad_norm": 0.4688684344291687,
445
+ "learning_rate": 0.00023792720200055571,
446
+ "loss": 0.0951,
447
+ "step": 17500
448
+ },
449
+ {
450
+ "epoch": 5.001389274798555,
451
+ "grad_norm": 0.644500195980072,
452
+ "learning_rate": 0.0002332962860053719,
453
+ "loss": 0.0932,
454
+ "step": 18000
455
+ },
456
+ {
457
+ "epoch": 5.001389274798555,
458
+ "eval_loss": 0.17107965052127838,
459
+ "eval_runtime": 12.6248,
460
+ "eval_samples_per_second": 39.605,
461
+ "eval_steps_per_second": 4.99,
462
+ "step": 18000
463
+ },
464
+ {
465
+ "epoch": 5.14031675465407,
466
+ "grad_norm": 0.4825419783592224,
467
+ "learning_rate": 0.00022866537001018804,
468
+ "loss": 0.0706,
469
+ "step": 18500
470
+ },
471
+ {
472
+ "epoch": 5.201444845790498,
473
+ "eval_loss": 0.17916250228881836,
474
+ "eval_runtime": 12.632,
475
+ "eval_samples_per_second": 39.582,
476
+ "eval_steps_per_second": 4.987,
477
+ "step": 18720
478
+ },
479
+ {
480
+ "epoch": 5.279244234509586,
481
+ "grad_norm": 0.49617692828178406,
482
+ "learning_rate": 0.00022403445401500416,
483
+ "loss": 0.0715,
484
+ "step": 19000
485
+ },
486
+ {
487
+ "epoch": 5.401500416782439,
488
+ "eval_loss": 0.18028731644153595,
489
+ "eval_runtime": 12.6155,
490
+ "eval_samples_per_second": 39.634,
491
+ "eval_steps_per_second": 4.994,
492
+ "step": 19440
493
+ },
494
+ {
495
+ "epoch": 5.418171714365101,
496
+ "grad_norm": 0.5684732794761658,
497
+ "learning_rate": 0.00021940353801982033,
498
+ "loss": 0.0737,
499
+ "step": 19500
500
+ },
501
+ {
502
+ "epoch": 5.5570991942206165,
503
+ "grad_norm": 0.7372530698776245,
504
+ "learning_rate": 0.00021477262202463648,
505
+ "loss": 0.075,
506
+ "step": 20000
507
+ },
508
+ {
509
+ "epoch": 5.601555987774382,
510
+ "eval_loss": 0.17456859350204468,
511
+ "eval_runtime": 12.9144,
512
+ "eval_samples_per_second": 38.717,
513
+ "eval_steps_per_second": 4.878,
514
+ "step": 20160
515
+ },
516
+ {
517
+ "epoch": 5.6960266740761325,
518
+ "grad_norm": 0.663422703742981,
519
+ "learning_rate": 0.00021014170602945265,
520
+ "loss": 0.0775,
521
+ "step": 20500
522
+ },
523
+ {
524
+ "epoch": 5.801611558766324,
525
+ "eval_loss": 0.17978759109973907,
526
+ "eval_runtime": 12.6657,
527
+ "eval_samples_per_second": 39.477,
528
+ "eval_steps_per_second": 4.974,
529
+ "step": 20880
530
+ },
531
+ {
532
+ "epoch": 5.834954153931648,
533
+ "grad_norm": 1.133213758468628,
534
+ "learning_rate": 0.0002055107900342688,
535
+ "loss": 0.0757,
536
+ "step": 21000
537
+ },
538
+ {
539
+ "epoch": 5.973881633787163,
540
+ "grad_norm": 0.6035337448120117,
541
+ "learning_rate": 0.00020087987403908492,
542
+ "loss": 0.0759,
543
+ "step": 21500
544
+ },
545
+ {
546
+ "epoch": 6.001667129758266,
547
+ "eval_loss": 0.176605224609375,
548
+ "eval_runtime": 12.6501,
549
+ "eval_samples_per_second": 39.525,
550
+ "eval_steps_per_second": 4.98,
551
+ "step": 21600
552
+ },
553
+ {
554
+ "epoch": 6.112809113642679,
555
+ "grad_norm": 0.5326036214828491,
556
+ "learning_rate": 0.0001962489580439011,
557
+ "loss": 0.0604,
558
+ "step": 22000
559
+ },
560
+ {
561
+ "epoch": 6.201722700750208,
562
+ "eval_loss": 0.18489301204681396,
563
+ "eval_runtime": 12.7563,
564
+ "eval_samples_per_second": 39.196,
565
+ "eval_steps_per_second": 4.939,
566
+ "step": 22320
567
+ },
568
+ {
569
+ "epoch": 6.251736593498194,
570
+ "grad_norm": 0.7067334651947021,
571
+ "learning_rate": 0.00019161804204871724,
572
+ "loss": 0.0577,
573
+ "step": 22500
574
+ },
575
+ {
576
+ "epoch": 6.390664073353709,
577
+ "grad_norm": 0.5834971070289612,
578
+ "learning_rate": 0.0001869871260535334,
579
+ "loss": 0.0608,
580
+ "step": 23000
581
+ },
582
+ {
583
+ "epoch": 6.401778271742151,
584
+ "eval_loss": 0.1874849945306778,
585
+ "eval_runtime": 12.9554,
586
+ "eval_samples_per_second": 38.594,
587
+ "eval_steps_per_second": 4.863,
588
+ "step": 23040
589
+ },
590
+ {
591
+ "epoch": 6.529591553209225,
592
+ "grad_norm": 0.776667058467865,
593
+ "learning_rate": 0.00018235621005834954,
594
+ "loss": 0.0626,
595
+ "step": 23500
596
+ },
597
+ {
598
+ "epoch": 6.601833842734093,
599
+ "eval_loss": 0.17743869125843048,
600
+ "eval_runtime": 12.7734,
601
+ "eval_samples_per_second": 39.144,
602
+ "eval_steps_per_second": 4.932,
603
+ "step": 23760
604
+ },
605
+ {
606
+ "epoch": 6.66851903306474,
607
+ "grad_norm": 0.607370913028717,
608
+ "learning_rate": 0.0001777252940631657,
609
+ "loss": 0.0614,
610
+ "step": 24000
611
+ },
612
+ {
613
+ "epoch": 6.801889413726035,
614
+ "eval_loss": 0.17762653529644012,
615
+ "eval_runtime": 12.6343,
616
+ "eval_samples_per_second": 39.575,
617
+ "eval_steps_per_second": 4.986,
618
+ "step": 24480
619
+ },
620
+ {
621
+ "epoch": 6.807446512920255,
622
+ "grad_norm": 0.442354291677475,
623
+ "learning_rate": 0.00017309437806798186,
624
+ "loss": 0.0623,
625
+ "step": 24500
626
+ },
627
+ {
628
+ "epoch": 6.946373992775771,
629
+ "grad_norm": 0.5223565101623535,
630
+ "learning_rate": 0.000168463462072798,
631
+ "loss": 0.0622,
632
+ "step": 25000
633
+ },
634
+ {
635
+ "epoch": 7.001944984717977,
636
+ "eval_loss": 0.1797703206539154,
637
+ "eval_runtime": 12.6168,
638
+ "eval_samples_per_second": 39.63,
639
+ "eval_steps_per_second": 4.993,
640
+ "step": 25200
641
+ },
642
+ {
643
+ "epoch": 7.085301472631286,
644
+ "grad_norm": 0.4835590124130249,
645
+ "learning_rate": 0.00016383254607761416,
646
+ "loss": 0.0505,
647
+ "step": 25500
648
+ },
649
+ {
650
+ "epoch": 7.20200055570992,
651
+ "eval_loss": 0.19183334708213806,
652
+ "eval_runtime": 12.6054,
653
+ "eval_samples_per_second": 39.666,
654
+ "eval_steps_per_second": 4.998,
655
+ "step": 25920
656
+ },
657
+ {
658
+ "epoch": 7.2242289524868015,
659
+ "grad_norm": 0.5445060133934021,
660
+ "learning_rate": 0.00015920163008243033,
661
+ "loss": 0.0452,
662
+ "step": 26000
663
+ },
664
+ {
665
+ "epoch": 7.3631564323423175,
666
+ "grad_norm": 0.5222957134246826,
667
+ "learning_rate": 0.00015457071408724645,
668
+ "loss": 0.0475,
669
+ "step": 26500
670
+ },
671
+ {
672
+ "epoch": 7.402056126701861,
673
+ "eval_loss": 0.19407090544700623,
674
+ "eval_runtime": 12.5977,
675
+ "eval_samples_per_second": 39.69,
676
+ "eval_steps_per_second": 5.001,
677
+ "step": 26640
678
+ },
679
+ {
680
+ "epoch": 7.502083912197833,
681
+ "grad_norm": 0.46540552377700806,
682
+ "learning_rate": 0.00014993979809206263,
683
+ "loss": 0.0487,
684
+ "step": 27000
685
+ },
686
+ {
687
+ "epoch": 7.602111697693804,
688
+ "eval_loss": 0.18855853378772736,
689
+ "eval_runtime": 12.5796,
690
+ "eval_samples_per_second": 39.747,
691
+ "eval_steps_per_second": 5.008,
692
+ "step": 27360
693
+ },
694
+ {
695
+ "epoch": 7.641011392053348,
696
+ "grad_norm": 0.5198289155960083,
697
+ "learning_rate": 0.00014530888209687877,
698
+ "loss": 0.049,
699
+ "step": 27500
700
+ },
701
+ {
702
+ "epoch": 7.779938871908864,
703
+ "grad_norm": 0.6500052213668823,
704
+ "learning_rate": 0.00014067796610169492,
705
+ "loss": 0.0507,
706
+ "step": 28000
707
+ },
708
+ {
709
+ "epoch": 7.802167268685746,
710
+ "eval_loss": 0.18595577776432037,
711
+ "eval_runtime": 12.5971,
712
+ "eval_samples_per_second": 39.692,
713
+ "eval_steps_per_second": 5.001,
714
+ "step": 28080
715
+ },
716
+ {
717
+ "epoch": 7.918866351764379,
718
+ "grad_norm": 0.7434415221214294,
719
+ "learning_rate": 0.00013604705010651107,
720
+ "loss": 0.0507,
721
+ "step": 28500
722
+ },
723
+ {
724
+ "epoch": 8.002222839677689,
725
+ "eval_loss": 0.1883331686258316,
726
+ "eval_runtime": 12.6223,
727
+ "eval_samples_per_second": 39.612,
728
+ "eval_steps_per_second": 4.991,
729
+ "step": 28800
730
+ },
731
+ {
732
+ "epoch": 8.057793831619895,
733
+ "grad_norm": 0.8438473343849182,
734
+ "learning_rate": 0.00013141613411132722,
735
+ "loss": 0.0427,
736
+ "step": 29000
737
+ },
738
+ {
739
+ "epoch": 8.19672131147541,
740
+ "grad_norm": 0.44807878136634827,
741
+ "learning_rate": 0.0001267852181161434,
742
+ "loss": 0.0372,
743
+ "step": 29500
744
+ },
745
+ {
746
+ "epoch": 8.20227841066963,
747
+ "eval_loss": 0.2032124102115631,
748
+ "eval_runtime": 12.7528,
749
+ "eval_samples_per_second": 39.207,
750
+ "eval_steps_per_second": 4.94,
751
+ "step": 29520
752
+ },
753
+ {
754
+ "epoch": 8.335648791330925,
755
+ "grad_norm": 0.6269062757492065,
756
+ "learning_rate": 0.00012215430212095954,
757
+ "loss": 0.0368,
758
+ "step": 30000
759
+ },
760
+ {
761
+ "epoch": 8.402333981661572,
762
+ "eval_loss": 0.19736090302467346,
763
+ "eval_runtime": 12.6619,
764
+ "eval_samples_per_second": 39.489,
765
+ "eval_steps_per_second": 4.976,
766
+ "step": 30240
767
+ },
768
+ {
769
+ "epoch": 8.474576271186441,
770
+ "grad_norm": 0.5166807174682617,
771
+ "learning_rate": 0.00011752338612577569,
772
+ "loss": 0.0383,
773
+ "step": 30500
774
+ },
775
+ {
776
+ "epoch": 8.602389552653515,
777
+ "eval_loss": 0.1965281069278717,
778
+ "eval_runtime": 12.6481,
779
+ "eval_samples_per_second": 39.532,
780
+ "eval_steps_per_second": 4.981,
781
+ "step": 30960
782
+ },
783
+ {
784
+ "epoch": 8.613503751041955,
785
+ "grad_norm": 0.5574499368667603,
786
+ "learning_rate": 0.00011289247013059183,
787
+ "loss": 0.0389,
788
+ "step": 31000
789
+ },
790
+ {
791
+ "epoch": 8.752431230897471,
792
+ "grad_norm": 0.6240259408950806,
793
+ "learning_rate": 0.000108261554135408,
794
+ "loss": 0.0387,
795
+ "step": 31500
796
+ },
797
+ {
798
+ "epoch": 8.802445123645457,
799
+ "eval_loss": 0.19709058105945587,
800
+ "eval_runtime": 12.6201,
801
+ "eval_samples_per_second": 39.619,
802
+ "eval_steps_per_second": 4.992,
803
+ "step": 31680
804
+ },
805
+ {
806
+ "epoch": 8.891358710752987,
807
+ "grad_norm": 0.8563889265060425,
808
+ "learning_rate": 0.00010363063814022413,
809
+ "loss": 0.0395,
810
+ "step": 32000
811
+ },
812
+ {
813
+ "epoch": 9.0025006946374,
814
+ "eval_loss": 0.19360870122909546,
815
+ "eval_runtime": 12.6659,
816
+ "eval_samples_per_second": 39.476,
817
+ "eval_steps_per_second": 4.974,
818
+ "step": 32400
819
+ },
820
+ {
821
+ "epoch": 9.030286190608502,
822
+ "grad_norm": 0.46810975670814514,
823
+ "learning_rate": 9.899972214504029e-05,
824
+ "loss": 0.0361,
825
+ "step": 32500
826
+ },
827
+ {
828
+ "epoch": 9.169213670464018,
829
+ "grad_norm": 0.7094354629516602,
830
+ "learning_rate": 9.436880614985645e-05,
831
+ "loss": 0.0277,
832
+ "step": 33000
833
+ },
834
+ {
835
+ "epoch": 9.202556265629342,
836
+ "eval_loss": 0.20759090781211853,
837
+ "eval_runtime": 12.6282,
838
+ "eval_samples_per_second": 39.594,
839
+ "eval_steps_per_second": 4.989,
840
+ "step": 33120
841
+ },
842
+ {
843
+ "epoch": 9.308141150319534,
844
+ "grad_norm": 0.33431679010391235,
845
+ "learning_rate": 8.97378901546726e-05,
846
+ "loss": 0.0287,
847
+ "step": 33500
848
+ },
849
+ {
850
+ "epoch": 9.402611836621285,
851
+ "eval_loss": 0.1991066336631775,
852
+ "eval_runtime": 12.604,
853
+ "eval_samples_per_second": 39.67,
854
+ "eval_steps_per_second": 4.998,
855
+ "step": 33840
856
+ },
857
+ {
858
+ "epoch": 9.447068630175048,
859
+ "grad_norm": 0.8703460693359375,
860
+ "learning_rate": 8.510697415948875e-05,
861
+ "loss": 0.0298,
862
+ "step": 34000
863
+ },
864
+ {
865
+ "epoch": 9.585996110030564,
866
+ "grad_norm": 0.39593273401260376,
867
+ "learning_rate": 8.04760581643049e-05,
868
+ "loss": 0.0305,
869
+ "step": 34500
870
+ },
871
+ {
872
+ "epoch": 9.602667407613225,
873
+ "eval_loss": 0.20403975248336792,
874
+ "eval_runtime": 12.5645,
875
+ "eval_samples_per_second": 39.795,
876
+ "eval_steps_per_second": 5.014,
877
+ "step": 34560
878
+ },
879
+ {
880
+ "epoch": 9.72492358988608,
881
+ "grad_norm": 0.3379563093185425,
882
+ "learning_rate": 7.584514216912106e-05,
883
+ "loss": 0.0315,
884
+ "step": 35000
885
+ },
886
+ {
887
+ "epoch": 9.802722978605168,
888
+ "eval_loss": 0.20678529143333435,
889
+ "eval_runtime": 12.5736,
890
+ "eval_samples_per_second": 39.766,
891
+ "eval_steps_per_second": 5.01,
892
+ "step": 35280
893
+ },
894
+ {
895
+ "epoch": 9.863851069741594,
896
+ "grad_norm": 0.5479187369346619,
897
+ "learning_rate": 7.12142261739372e-05,
898
+ "loss": 0.0307,
899
+ "step": 35500
900
+ },
901
+ {
902
+ "epoch": 10.00277854959711,
903
+ "grad_norm": 0.2846412658691406,
904
+ "learning_rate": 6.658331017875335e-05,
905
+ "loss": 0.0305,
906
+ "step": 36000
907
+ },
908
+ {
909
+ "epoch": 10.00277854959711,
910
+ "eval_loss": 0.1998845934867859,
911
+ "eval_runtime": 12.5622,
912
+ "eval_samples_per_second": 39.802,
913
+ "eval_steps_per_second": 5.015,
914
+ "step": 36000
915
+ },
916
+ {
917
+ "epoch": 10.141706029452626,
918
+ "grad_norm": 0.4397977590560913,
919
+ "learning_rate": 6.195239418356951e-05,
920
+ "loss": 0.0228,
921
+ "step": 36500
922
+ },
923
+ {
924
+ "epoch": 10.202834120589053,
925
+ "eval_loss": 0.21385163068771362,
926
+ "eval_runtime": 12.5443,
927
+ "eval_samples_per_second": 39.859,
928
+ "eval_steps_per_second": 5.022,
929
+ "step": 36720
930
+ },
931
+ {
932
+ "epoch": 10.28063350930814,
933
+ "grad_norm": 1.1370391845703125,
934
+ "learning_rate": 5.732147818838567e-05,
935
+ "loss": 0.0226,
936
+ "step": 37000
937
+ },
938
+ {
939
+ "epoch": 10.402889691580995,
940
+ "eval_loss": 0.2154431939125061,
941
+ "eval_runtime": 12.5634,
942
+ "eval_samples_per_second": 39.798,
943
+ "eval_steps_per_second": 5.015,
944
+ "step": 37440
945
+ },
946
+ {
947
+ "epoch": 10.419560989163656,
948
+ "grad_norm": 0.8506925106048584,
949
+ "learning_rate": 5.269056219320182e-05,
950
+ "loss": 0.023,
951
+ "step": 37500
952
+ },
953
+ {
954
+ "epoch": 10.558488469019172,
955
+ "grad_norm": 0.20474492013454437,
956
+ "learning_rate": 4.805964619801797e-05,
957
+ "loss": 0.0237,
958
+ "step": 38000
959
+ },
960
+ {
961
+ "epoch": 10.602945262572938,
962
+ "eval_loss": 0.21521514654159546,
963
+ "eval_runtime": 12.5504,
964
+ "eval_samples_per_second": 39.839,
965
+ "eval_steps_per_second": 5.02,
966
+ "step": 38160
967
+ },
968
+ {
969
+ "epoch": 10.697415948874687,
970
+ "grad_norm": 0.23834902048110962,
971
+ "learning_rate": 4.342873020283412e-05,
972
+ "loss": 0.0236,
973
+ "step": 38500
974
+ },
975
+ {
976
+ "epoch": 10.803000833564878,
977
+ "eval_loss": 0.21044839918613434,
978
+ "eval_runtime": 12.5624,
979
+ "eval_samples_per_second": 39.801,
980
+ "eval_steps_per_second": 5.015,
981
+ "step": 38880
982
+ },
983
+ {
984
+ "epoch": 10.836343428730203,
985
+ "grad_norm": 0.8601716160774231,
986
+ "learning_rate": 3.879781420765027e-05,
987
+ "loss": 0.0239,
988
+ "step": 39000
989
+ },
990
+ {
991
+ "epoch": 10.975270908585719,
992
+ "grad_norm": 0.33603814244270325,
993
+ "learning_rate": 3.4166898212466425e-05,
994
+ "loss": 0.0236,
995
+ "step": 39500
996
+ }
997
+ ],
998
+ "logging_steps": 500,
999
+ "max_steps": 43188,
1000
+ "num_input_tokens_seen": 0,
1001
+ "num_train_epochs": 12,
1002
+ "save_steps": 500,
1003
+ "stateful_callbacks": {
1004
+ "TrainerControl": {
1005
+ "args": {
1006
+ "should_epoch_stop": false,
1007
+ "should_evaluate": false,
1008
+ "should_log": false,
1009
+ "should_save": true,
1010
+ "should_training_stop": false
1011
+ },
1012
+ "attributes": {}
1013
+ }
1014
+ },
1015
+ "total_flos": 6.921693316262134e+18,
1016
+ "train_batch_size": 4,
1017
+ "trial_name": null,
1018
+ "trial_params": null
1019
+ }
checkpoint-39589/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ea190ee64a0bc0efb2ac2058843e39eb424a57fffc6d8909debf7ec6d0496d71
3
+ size 5969