yangccccc commited on
Commit
942332d
·
verified ·
1 Parent(s): 4fdb40e

Upload 13 files

Browse files
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: deepseek-ai/deepseek-coder-6.7b-base
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 0.15.1
adapter_config.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 16,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.0,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "r": 64,
24
+ "rank_pattern": {},
25
+ "revision": null,
26
+ "target_modules": [
27
+ "o_proj",
28
+ "up_proj",
29
+ "v_proj",
30
+ "k_proj",
31
+ "q_proj",
32
+ "gate_proj",
33
+ "down_proj"
34
+ ],
35
+ "task_type": "CAUSAL_LM",
36
+ "trainable_token_indices": null,
37
+ "use_dora": false,
38
+ "use_rslora": false
39
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:950a9784281d3b2a0e373b07a194fc3f896c2f7ebed825e056b0990aad53ffae
3
+ size 639691872
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2d924006b69fdd9f9b25d9afbeb36ad855588d2f4686ebd05dea12ebcd7a868
3
+ size 1279540474
rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ff97b555b966f7dd5dfe75daf6d6676cf8250d91c68840db59edb664b62dff1
3
+ size 14768
rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e660a5e628a2df519cbe55b4189cfe7af8cf8cfb18c40f12f0be867beda80d92
3
+ size 14768
rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30a8308fbda56e1315bbdacd201cf73db6a30d5bb40bb6303e2fca7ec6f7a3fa
3
+ size 14768
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec90720690d9bc72c277d37c452ce5a3a646d1879ecf2a784559bc30250d08df
3
+ size 1064
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
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,195 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "padding_side": "right",
191
+ "sp_model_kwargs": {},
192
+ "tokenizer_class": "LlamaTokenizerFast",
193
+ "unk_token": null,
194
+ "use_default_system_prompt": false
195
+ }
trainer_state.json ADDED
@@ -0,0 +1,1609 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.0775354794046383,
6
+ "eval_steps": 500,
7
+ "global_step": 2250,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.009230414214837892,
14
+ "grad_norm": 0.0994892492890358,
15
+ "learning_rate": 0.0002,
16
+ "loss": 1.5722,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.018460828429675783,
21
+ "grad_norm": 0.062255557626485825,
22
+ "learning_rate": 0.0002,
23
+ "loss": 1.2813,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.027691242644513673,
28
+ "grad_norm": 0.12040963768959045,
29
+ "learning_rate": 0.0002,
30
+ "loss": 1.3037,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.036921656859351566,
35
+ "grad_norm": 0.04763123765587807,
36
+ "learning_rate": 0.0002,
37
+ "loss": 1.3666,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.046152071074189456,
42
+ "grad_norm": 0.12753669917583466,
43
+ "learning_rate": 0.0002,
44
+ "loss": 1.1438,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.055382485289027346,
49
+ "grad_norm": 0.10537329316139221,
50
+ "learning_rate": 0.0002,
51
+ "loss": 1.4241,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.06461289950386524,
56
+ "grad_norm": 0.03980427607893944,
57
+ "learning_rate": 0.0002,
58
+ "loss": 1.2929,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.07384331371870313,
63
+ "grad_norm": 0.12119753658771515,
64
+ "learning_rate": 0.0002,
65
+ "loss": 1.2938,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.08307372793354102,
70
+ "grad_norm": 0.062459882348775864,
71
+ "learning_rate": 0.0002,
72
+ "loss": 1.3273,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.09230414214837891,
77
+ "grad_norm": 0.15507832169532776,
78
+ "learning_rate": 0.0002,
79
+ "loss": 1.1885,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.1015345563632168,
84
+ "grad_norm": 0.09834089875221252,
85
+ "learning_rate": 0.0002,
86
+ "loss": 1.3693,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.11076497057805469,
91
+ "grad_norm": 0.05203542485833168,
92
+ "learning_rate": 0.0002,
93
+ "loss": 1.2587,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.11999538479289258,
98
+ "grad_norm": 0.12015814334154129,
99
+ "learning_rate": 0.0002,
100
+ "loss": 1.2815,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.12922579900773049,
105
+ "grad_norm": 0.06197419390082359,
106
+ "learning_rate": 0.0002,
107
+ "loss": 1.429,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.13845621322256838,
112
+ "grad_norm": 0.17958974838256836,
113
+ "learning_rate": 0.0002,
114
+ "loss": 1.0941,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.14768662743740626,
119
+ "grad_norm": 0.09950366616249084,
120
+ "learning_rate": 0.0002,
121
+ "loss": 1.4066,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.15691704165224415,
126
+ "grad_norm": 0.050984274595975876,
127
+ "learning_rate": 0.0002,
128
+ "loss": 1.2131,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.16614745586708204,
133
+ "grad_norm": 0.150551900267601,
134
+ "learning_rate": 0.0002,
135
+ "loss": 1.2422,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.17537787008191993,
140
+ "grad_norm": 0.06124914437532425,
141
+ "learning_rate": 0.0002,
142
+ "loss": 1.3434,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.18460828429675782,
147
+ "grad_norm": 0.17724090814590454,
148
+ "learning_rate": 0.0002,
149
+ "loss": 1.0898,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.19383869851159571,
154
+ "grad_norm": 0.0937797948718071,
155
+ "learning_rate": 0.0002,
156
+ "loss": 1.432,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.2030691127264336,
161
+ "grad_norm": 0.059550438076257706,
162
+ "learning_rate": 0.0002,
163
+ "loss": 1.1605,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.2122995269412715,
168
+ "grad_norm": 0.10598563402891159,
169
+ "learning_rate": 0.0002,
170
+ "loss": 1.2004,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.22152994115610938,
175
+ "grad_norm": 0.059932854026556015,
176
+ "learning_rate": 0.0002,
177
+ "loss": 1.2944,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.23076035537094727,
182
+ "grad_norm": 0.16503147780895233,
183
+ "learning_rate": 0.0002,
184
+ "loss": 1.1301,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.23999076958578516,
189
+ "grad_norm": 0.08444368839263916,
190
+ "learning_rate": 0.0002,
191
+ "loss": 1.4195,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.24922118380062305,
196
+ "grad_norm": 0.05936718359589577,
197
+ "learning_rate": 0.0002,
198
+ "loss": 1.2805,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.25845159801546097,
203
+ "grad_norm": 0.12579703330993652,
204
+ "learning_rate": 0.0002,
205
+ "loss": 1.2394,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.26768201223029886,
210
+ "grad_norm": 0.06689989566802979,
211
+ "learning_rate": 0.0002,
212
+ "loss": 1.298,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.27691242644513675,
217
+ "grad_norm": 0.17793583869934082,
218
+ "learning_rate": 0.0002,
219
+ "loss": 1.0807,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.28614284065997464,
224
+ "grad_norm": 0.08275260776281357,
225
+ "learning_rate": 0.0002,
226
+ "loss": 1.3433,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.29537325487481253,
231
+ "grad_norm": 0.05578906834125519,
232
+ "learning_rate": 0.0002,
233
+ "loss": 1.2197,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.3046036690896504,
238
+ "grad_norm": 0.13691303133964539,
239
+ "learning_rate": 0.0002,
240
+ "loss": 1.2487,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.3138340833044883,
245
+ "grad_norm": 0.055021870881319046,
246
+ "learning_rate": 0.0002,
247
+ "loss": 1.275,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.3230644975193262,
252
+ "grad_norm": 0.1495254933834076,
253
+ "learning_rate": 0.0002,
254
+ "loss": 1.0445,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.3322949117341641,
259
+ "grad_norm": 0.09207426011562347,
260
+ "learning_rate": 0.0002,
261
+ "loss": 1.3997,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.341525325949002,
266
+ "grad_norm": 0.05421067774295807,
267
+ "learning_rate": 0.0002,
268
+ "loss": 1.1986,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.35075574016383987,
273
+ "grad_norm": 0.12197154760360718,
274
+ "learning_rate": 0.0002,
275
+ "loss": 1.2589,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.35998615437867776,
280
+ "grad_norm": 0.06101464852690697,
281
+ "learning_rate": 0.0002,
282
+ "loss": 1.3766,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.36921656859351565,
287
+ "grad_norm": 0.19063565135002136,
288
+ "learning_rate": 0.0002,
289
+ "loss": 1.0677,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.37844698280835354,
294
+ "grad_norm": 0.09075415134429932,
295
+ "learning_rate": 0.0002,
296
+ "loss": 1.4032,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.38767739702319143,
301
+ "grad_norm": 0.053780850023031235,
302
+ "learning_rate": 0.0002,
303
+ "loss": 1.2328,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.3969078112380293,
308
+ "grad_norm": 0.11555945128202438,
309
+ "learning_rate": 0.0002,
310
+ "loss": 1.2205,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.4061382254528672,
315
+ "grad_norm": 0.0680965855717659,
316
+ "learning_rate": 0.0002,
317
+ "loss": 1.2906,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.4153686396677051,
322
+ "grad_norm": 0.17800922691822052,
323
+ "learning_rate": 0.0002,
324
+ "loss": 1.0823,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.424599053882543,
329
+ "grad_norm": 0.10128472000360489,
330
+ "learning_rate": 0.0002,
331
+ "loss": 1.3619,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.4338294680973809,
336
+ "grad_norm": 0.049957141280174255,
337
+ "learning_rate": 0.0002,
338
+ "loss": 1.1817,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.44305988231221877,
343
+ "grad_norm": 0.1359386295080185,
344
+ "learning_rate": 0.0002,
345
+ "loss": 1.2062,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.45229029652705666,
350
+ "grad_norm": 0.0684947818517685,
351
+ "learning_rate": 0.0002,
352
+ "loss": 1.3084,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.46152071074189455,
357
+ "grad_norm": 0.1941768378019333,
358
+ "learning_rate": 0.0002,
359
+ "loss": 1.0832,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.47075112495673244,
364
+ "grad_norm": 0.09089575707912445,
365
+ "learning_rate": 0.0002,
366
+ "loss": 1.3617,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.4799815391715703,
371
+ "grad_norm": 0.06254442036151886,
372
+ "learning_rate": 0.0002,
373
+ "loss": 1.1961,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.4892119533864082,
378
+ "grad_norm": 0.15948618948459625,
379
+ "learning_rate": 0.0002,
380
+ "loss": 1.2078,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.4984423676012461,
385
+ "grad_norm": 0.06899358332157135,
386
+ "learning_rate": 0.0002,
387
+ "loss": 1.3514,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.507672781816084,
392
+ "grad_norm": 0.16271327435970306,
393
+ "learning_rate": 0.0002,
394
+ "loss": 1.0975,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.5169031960309219,
399
+ "grad_norm": 0.0963057279586792,
400
+ "learning_rate": 0.0002,
401
+ "loss": 1.3987,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.5261336102457598,
406
+ "grad_norm": 0.05728481337428093,
407
+ "learning_rate": 0.0002,
408
+ "loss": 1.1942,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.5353640244605977,
413
+ "grad_norm": 0.1385851353406906,
414
+ "learning_rate": 0.0002,
415
+ "loss": 1.1708,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.5445944386754356,
420
+ "grad_norm": 0.06655001640319824,
421
+ "learning_rate": 0.0002,
422
+ "loss": 1.339,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.5538248528902735,
427
+ "grad_norm": 0.1913049817085266,
428
+ "learning_rate": 0.0002,
429
+ "loss": 1.0967,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.5630552671051113,
434
+ "grad_norm": 0.11070458590984344,
435
+ "learning_rate": 0.0002,
436
+ "loss": 1.4031,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.5722856813199493,
441
+ "grad_norm": 0.05270432308316231,
442
+ "learning_rate": 0.0002,
443
+ "loss": 1.203,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.5815160955347871,
448
+ "grad_norm": 0.12132929265499115,
449
+ "learning_rate": 0.0002,
450
+ "loss": 1.1632,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.5907465097496251,
455
+ "grad_norm": 0.06843800842761993,
456
+ "learning_rate": 0.0002,
457
+ "loss": 1.3555,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.5999769239644629,
462
+ "grad_norm": 0.1670321673154831,
463
+ "learning_rate": 0.0002,
464
+ "loss": 1.059,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.6092073381793008,
469
+ "grad_norm": 0.10655465722084045,
470
+ "learning_rate": 0.0002,
471
+ "loss": 1.3544,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.6184377523941387,
476
+ "grad_norm": 0.05795924738049507,
477
+ "learning_rate": 0.0002,
478
+ "loss": 1.25,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.6276681666089766,
483
+ "grad_norm": 0.1298709660768509,
484
+ "learning_rate": 0.0002,
485
+ "loss": 1.222,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.6368985808238145,
490
+ "grad_norm": 0.0654703825712204,
491
+ "learning_rate": 0.0002,
492
+ "loss": 1.3189,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.6461289950386524,
497
+ "grad_norm": 0.18943524360656738,
498
+ "learning_rate": 0.0002,
499
+ "loss": 1.0885,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.6553594092534902,
504
+ "grad_norm": 0.11117199063301086,
505
+ "learning_rate": 0.0002,
506
+ "loss": 1.3343,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.6645898234683282,
511
+ "grad_norm": 0.05172109976410866,
512
+ "learning_rate": 0.0002,
513
+ "loss": 1.1328,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.673820237683166,
518
+ "grad_norm": 0.13359065353870392,
519
+ "learning_rate": 0.0002,
520
+ "loss": 1.2447,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.683050651898004,
525
+ "grad_norm": 0.059676457196474075,
526
+ "learning_rate": 0.0002,
527
+ "loss": 1.2718,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.6922810661128418,
532
+ "grad_norm": 0.1960563063621521,
533
+ "learning_rate": 0.0002,
534
+ "loss": 1.0669,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.7015114803276797,
539
+ "grad_norm": 0.11250808089971542,
540
+ "learning_rate": 0.0002,
541
+ "loss": 1.3465,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.7107418945425176,
546
+ "grad_norm": 0.05576665699481964,
547
+ "learning_rate": 0.0002,
548
+ "loss": 1.1737,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.7199723087573555,
553
+ "grad_norm": 0.16185137629508972,
554
+ "learning_rate": 0.0002,
555
+ "loss": 1.187,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.7292027229721934,
560
+ "grad_norm": 0.06587795913219452,
561
+ "learning_rate": 0.0002,
562
+ "loss": 1.3014,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.7384331371870313,
567
+ "grad_norm": 0.21672724187374115,
568
+ "learning_rate": 0.0002,
569
+ "loss": 1.1078,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.7476635514018691,
574
+ "grad_norm": 0.09454522281885147,
575
+ "learning_rate": 0.0002,
576
+ "loss": 1.3883,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.7568939656167071,
581
+ "grad_norm": 0.05657172575592995,
582
+ "learning_rate": 0.0002,
583
+ "loss": 1.2014,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.7661243798315449,
588
+ "grad_norm": 0.12518398463726044,
589
+ "learning_rate": 0.0002,
590
+ "loss": 1.1624,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.7753547940463829,
595
+ "grad_norm": 0.0718185231089592,
596
+ "learning_rate": 0.0002,
597
+ "loss": 1.2899,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.7845852082612207,
602
+ "grad_norm": 0.1621280312538147,
603
+ "learning_rate": 0.0002,
604
+ "loss": 1.0833,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.7938156224760586,
609
+ "grad_norm": 0.1027815043926239,
610
+ "learning_rate": 0.0002,
611
+ "loss": 1.352,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.8030460366908965,
616
+ "grad_norm": 0.056900862604379654,
617
+ "learning_rate": 0.0002,
618
+ "loss": 1.2106,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.8122764509057344,
623
+ "grad_norm": 0.138154998421669,
624
+ "learning_rate": 0.0002,
625
+ "loss": 1.1345,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.8215068651205722,
630
+ "grad_norm": 0.06931914389133453,
631
+ "learning_rate": 0.0002,
632
+ "loss": 1.3355,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.8307372793354102,
637
+ "grad_norm": 0.185394287109375,
638
+ "learning_rate": 0.0002,
639
+ "loss": 1.0777,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.839967693550248,
644
+ "grad_norm": 0.09037897735834122,
645
+ "learning_rate": 0.0002,
646
+ "loss": 1.3078,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.849198107765086,
651
+ "grad_norm": 0.05863342061638832,
652
+ "learning_rate": 0.0002,
653
+ "loss": 1.2147,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.8584285219799238,
658
+ "grad_norm": 0.14246703684329987,
659
+ "learning_rate": 0.0002,
660
+ "loss": 1.1953,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.8676589361947618,
665
+ "grad_norm": 0.07498980313539505,
666
+ "learning_rate": 0.0002,
667
+ "loss": 1.2837,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.8768893504095996,
672
+ "grad_norm": 0.23275145888328552,
673
+ "learning_rate": 0.0002,
674
+ "loss": 1.0615,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.8861197646244375,
679
+ "grad_norm": 0.09213528782129288,
680
+ "learning_rate": 0.0002,
681
+ "loss": 1.3883,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.8953501788392754,
686
+ "grad_norm": 0.05749181658029556,
687
+ "learning_rate": 0.0002,
688
+ "loss": 1.2223,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.9045805930541133,
693
+ "grad_norm": 0.12675738334655762,
694
+ "learning_rate": 0.0002,
695
+ "loss": 1.1542,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.9138110072689511,
700
+ "grad_norm": 0.06891526281833649,
701
+ "learning_rate": 0.0002,
702
+ "loss": 1.2883,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.9230414214837891,
707
+ "grad_norm": 0.1506439447402954,
708
+ "learning_rate": 0.0002,
709
+ "loss": 1.1152,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.9322718356986269,
714
+ "grad_norm": 0.08551948517560959,
715
+ "learning_rate": 0.0002,
716
+ "loss": 1.3746,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.9415022499134649,
721
+ "grad_norm": 0.05816769599914551,
722
+ "learning_rate": 0.0002,
723
+ "loss": 1.2117,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.9507326641283027,
728
+ "grad_norm": 0.15679936110973358,
729
+ "learning_rate": 0.0002,
730
+ "loss": 1.2107,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.9599630783431407,
735
+ "grad_norm": 0.06274525076150894,
736
+ "learning_rate": 0.0002,
737
+ "loss": 1.2783,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.9691934925579785,
742
+ "grad_norm": 0.1663607805967331,
743
+ "learning_rate": 0.0002,
744
+ "loss": 1.0381,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.9784239067728164,
749
+ "grad_norm": 0.10284286737442017,
750
+ "learning_rate": 0.0002,
751
+ "loss": 1.4281,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.9876543209876543,
756
+ "grad_norm": 0.06172878295183182,
757
+ "learning_rate": 0.0002,
758
+ "loss": 1.1913,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.9968847352024922,
763
+ "grad_norm": 0.11540690809488297,
764
+ "learning_rate": 0.0002,
765
+ "loss": 1.2357,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 1.0064612899503864,
770
+ "grad_norm": 0.07405360043048859,
771
+ "learning_rate": 0.0002,
772
+ "loss": 1.3859,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 1.0156917041652245,
777
+ "grad_norm": 0.07363928109407425,
778
+ "learning_rate": 0.0002,
779
+ "loss": 0.9267,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 1.0249221183800623,
784
+ "grad_norm": 0.10718333721160889,
785
+ "learning_rate": 0.0002,
786
+ "loss": 1.242,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 1.0341525325949001,
791
+ "grad_norm": 0.06949968636035919,
792
+ "learning_rate": 0.0002,
793
+ "loss": 1.0087,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 1.043382946809738,
798
+ "grad_norm": 0.15124961733818054,
799
+ "learning_rate": 0.0002,
800
+ "loss": 1.0951,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 1.052613361024576,
805
+ "grad_norm": 0.08505109697580338,
806
+ "learning_rate": 0.0002,
807
+ "loss": 1.2338,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 1.0618437752394139,
812
+ "grad_norm": 0.0844084769487381,
813
+ "learning_rate": 0.0002,
814
+ "loss": 0.9387,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 1.0710741894542517,
819
+ "grad_norm": 0.12017443031072617,
820
+ "learning_rate": 0.0002,
821
+ "loss": 1.2559,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 1.0803046036690898,
826
+ "grad_norm": 0.07678249478340149,
827
+ "learning_rate": 0.0002,
828
+ "loss": 1.0786,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 1.0895350178839276,
833
+ "grad_norm": 0.18587274849414825,
834
+ "learning_rate": 0.0002,
835
+ "loss": 1.0891,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 1.0987654320987654,
840
+ "grad_norm": 0.087877057492733,
841
+ "learning_rate": 0.0002,
842
+ "loss": 1.2243,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 1.1079958463136033,
847
+ "grad_norm": 0.08151056617498398,
848
+ "learning_rate": 0.0002,
849
+ "loss": 0.9319,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 1.1172262605284413,
854
+ "grad_norm": 0.13637030124664307,
855
+ "learning_rate": 0.0002,
856
+ "loss": 1.342,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 1.1264566747432792,
861
+ "grad_norm": 0.07987112551927567,
862
+ "learning_rate": 0.0002,
863
+ "loss": 1.0845,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 1.135687088958117,
868
+ "grad_norm": 0.17300938069820404,
869
+ "learning_rate": 0.0002,
870
+ "loss": 1.1104,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 1.1449175031729548,
875
+ "grad_norm": 0.0821269229054451,
876
+ "learning_rate": 0.0002,
877
+ "loss": 1.2084,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 1.1541479173877929,
882
+ "grad_norm": 0.08363176882266998,
883
+ "learning_rate": 0.0002,
884
+ "loss": 0.9193,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 1.1633783316026307,
889
+ "grad_norm": 0.12400569021701813,
890
+ "learning_rate": 0.0002,
891
+ "loss": 1.3398,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 1.1726087458174685,
896
+ "grad_norm": 0.0741545781493187,
897
+ "learning_rate": 0.0002,
898
+ "loss": 1.07,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 1.1818391600323064,
903
+ "grad_norm": 0.18392737209796906,
904
+ "learning_rate": 0.0002,
905
+ "loss": 1.102,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 1.1910695742471444,
910
+ "grad_norm": 0.10395547747612,
911
+ "learning_rate": 0.0002,
912
+ "loss": 1.1766,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 1.2002999884619823,
917
+ "grad_norm": 0.08065596967935562,
918
+ "learning_rate": 0.0002,
919
+ "loss": 0.9593,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 1.20953040267682,
924
+ "grad_norm": 0.13076524436473846,
925
+ "learning_rate": 0.0002,
926
+ "loss": 1.2912,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 1.218760816891658,
931
+ "grad_norm": 0.08445240557193756,
932
+ "learning_rate": 0.0002,
933
+ "loss": 1.0545,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 1.227991231106496,
938
+ "grad_norm": 0.20568707585334778,
939
+ "learning_rate": 0.0002,
940
+ "loss": 1.0472,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 1.2372216453213338,
945
+ "grad_norm": 0.0978812500834465,
946
+ "learning_rate": 0.0002,
947
+ "loss": 1.1746,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 1.2464520595361717,
952
+ "grad_norm": 0.08013073354959488,
953
+ "learning_rate": 0.0002,
954
+ "loss": 0.9361,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 1.2556824737510095,
959
+ "grad_norm": 0.15785863995552063,
960
+ "learning_rate": 0.0002,
961
+ "loss": 1.3058,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 1.2649128879658473,
966
+ "grad_norm": 0.08266527205705643,
967
+ "learning_rate": 0.0002,
968
+ "loss": 1.0807,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 1.2741433021806854,
973
+ "grad_norm": 0.18238036334514618,
974
+ "learning_rate": 0.0002,
975
+ "loss": 1.0587,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 1.2833737163955232,
980
+ "grad_norm": 0.09454452991485596,
981
+ "learning_rate": 0.0002,
982
+ "loss": 1.2299,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 1.292604130610361,
987
+ "grad_norm": 0.09221120178699493,
988
+ "learning_rate": 0.0002,
989
+ "loss": 0.9915,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 1.3018345448251991,
994
+ "grad_norm": 0.13429689407348633,
995
+ "learning_rate": 0.0002,
996
+ "loss": 1.3109,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 1.311064959040037,
1001
+ "grad_norm": 0.08239381015300751,
1002
+ "learning_rate": 0.0002,
1003
+ "loss": 1.0279,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 1.3202953732548748,
1008
+ "grad_norm": 0.20243394374847412,
1009
+ "learning_rate": 0.0002,
1010
+ "loss": 1.1165,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 1.3295257874697128,
1015
+ "grad_norm": 0.10623496025800705,
1016
+ "learning_rate": 0.0002,
1017
+ "loss": 1.1892,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 1.3387562016845507,
1022
+ "grad_norm": 0.08493519574403763,
1023
+ "learning_rate": 0.0002,
1024
+ "loss": 0.9719,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 1.3479866158993885,
1029
+ "grad_norm": 0.16793687641620636,
1030
+ "learning_rate": 0.0002,
1031
+ "loss": 1.2933,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 1.3572170301142263,
1036
+ "grad_norm": 0.0803951844573021,
1037
+ "learning_rate": 0.0002,
1038
+ "loss": 1.0914,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 1.3664474443290642,
1043
+ "grad_norm": 0.18061946332454681,
1044
+ "learning_rate": 0.0002,
1045
+ "loss": 1.0951,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 1.3756778585439022,
1050
+ "grad_norm": 0.09481924027204514,
1051
+ "learning_rate": 0.0002,
1052
+ "loss": 1.2137,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 1.38490827275874,
1057
+ "grad_norm": 0.08988731354475021,
1058
+ "learning_rate": 0.0002,
1059
+ "loss": 1.0406,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 1.394138686973578,
1064
+ "grad_norm": 0.16403962671756744,
1065
+ "learning_rate": 0.0002,
1066
+ "loss": 1.2664,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 1.403369101188416,
1071
+ "grad_norm": 0.0818110927939415,
1072
+ "learning_rate": 0.0002,
1073
+ "loss": 1.0402,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 1.4125995154032538,
1078
+ "grad_norm": 0.16447734832763672,
1079
+ "learning_rate": 0.0002,
1080
+ "loss": 1.1246,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 1.4218299296180916,
1085
+ "grad_norm": 0.10654182732105255,
1086
+ "learning_rate": 0.0002,
1087
+ "loss": 1.1963,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 1.4310603438329295,
1092
+ "grad_norm": 0.09120084345340729,
1093
+ "learning_rate": 0.0002,
1094
+ "loss": 1.0389,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 1.4402907580477673,
1099
+ "grad_norm": 0.14979740977287292,
1100
+ "learning_rate": 0.0002,
1101
+ "loss": 1.2998,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 1.4495211722626054,
1106
+ "grad_norm": 0.07872021943330765,
1107
+ "learning_rate": 0.0002,
1108
+ "loss": 1.0553,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 1.4587515864774432,
1113
+ "grad_norm": 0.1971125304698944,
1114
+ "learning_rate": 0.0002,
1115
+ "loss": 1.0648,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 1.467982000692281,
1120
+ "grad_norm": 0.10692698508501053,
1121
+ "learning_rate": 0.0002,
1122
+ "loss": 1.2246,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 1.477212414907119,
1127
+ "grad_norm": 0.0899726077914238,
1128
+ "learning_rate": 0.0002,
1129
+ "loss": 0.8801,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 1.486442829121957,
1134
+ "grad_norm": 0.14624738693237305,
1135
+ "learning_rate": 0.0002,
1136
+ "loss": 1.268,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 1.4956732433367947,
1141
+ "grad_norm": 0.07690660655498505,
1142
+ "learning_rate": 0.0002,
1143
+ "loss": 1.0909,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 1.5049036575516326,
1148
+ "grad_norm": 0.18284741044044495,
1149
+ "learning_rate": 0.0002,
1150
+ "loss": 1.0576,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 1.5141340717664704,
1155
+ "grad_norm": 0.09398135542869568,
1156
+ "learning_rate": 0.0002,
1157
+ "loss": 1.2297,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 1.5233644859813085,
1162
+ "grad_norm": 0.08855324983596802,
1163
+ "learning_rate": 0.0002,
1164
+ "loss": 0.97,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 1.5325949001961463,
1169
+ "grad_norm": 0.15404872596263885,
1170
+ "learning_rate": 0.0002,
1171
+ "loss": 1.3044,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 1.5418253144109841,
1176
+ "grad_norm": 0.08170903474092484,
1177
+ "learning_rate": 0.0002,
1178
+ "loss": 1.0842,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 1.5510557286258222,
1183
+ "grad_norm": 0.18026649951934814,
1184
+ "learning_rate": 0.0002,
1185
+ "loss": 1.0973,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 1.56028614284066,
1190
+ "grad_norm": 0.09690876305103302,
1191
+ "learning_rate": 0.0002,
1192
+ "loss": 1.2005,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 1.5695165570554979,
1197
+ "grad_norm": 0.09389860183000565,
1198
+ "learning_rate": 0.0002,
1199
+ "loss": 0.97,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 1.578746971270336,
1204
+ "grad_norm": 0.15237314999103546,
1205
+ "learning_rate": 0.0002,
1206
+ "loss": 1.2745,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 1.5879773854851735,
1211
+ "grad_norm": 0.09236445277929306,
1212
+ "learning_rate": 0.0002,
1213
+ "loss": 1.0959,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 1.5972077997000116,
1218
+ "grad_norm": 0.193682461977005,
1219
+ "learning_rate": 0.0002,
1220
+ "loss": 1.1163,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 1.6064382139148494,
1225
+ "grad_norm": 0.1000017300248146,
1226
+ "learning_rate": 0.0002,
1227
+ "loss": 1.2142,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 1.6156686281296873,
1232
+ "grad_norm": 0.0881427600979805,
1233
+ "learning_rate": 0.0002,
1234
+ "loss": 0.9718,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 1.6248990423445253,
1239
+ "grad_norm": 0.16513171792030334,
1240
+ "learning_rate": 0.0002,
1241
+ "loss": 1.2881,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 1.6341294565593631,
1246
+ "grad_norm": 0.0824236124753952,
1247
+ "learning_rate": 0.0002,
1248
+ "loss": 1.0153,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 1.643359870774201,
1253
+ "grad_norm": 0.18334250152111053,
1254
+ "learning_rate": 0.0002,
1255
+ "loss": 1.0999,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 1.652590284989039,
1260
+ "grad_norm": 0.09759881347417831,
1261
+ "learning_rate": 0.0002,
1262
+ "loss": 1.2143,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 1.6618206992038767,
1267
+ "grad_norm": 0.09835653752088547,
1268
+ "learning_rate": 0.0002,
1269
+ "loss": 0.9948,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 1.6710511134187147,
1274
+ "grad_norm": 0.1422744244337082,
1275
+ "learning_rate": 0.0002,
1276
+ "loss": 1.2753,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 1.6802815276335525,
1281
+ "grad_norm": 0.0781414732336998,
1282
+ "learning_rate": 0.0002,
1283
+ "loss": 1.0262,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 1.6895119418483904,
1288
+ "grad_norm": 0.2046748399734497,
1289
+ "learning_rate": 0.0002,
1290
+ "loss": 1.0542,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 1.6987423560632284,
1295
+ "grad_norm": 0.09908697754144669,
1296
+ "learning_rate": 0.0002,
1297
+ "loss": 1.1942,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 1.7079727702780663,
1302
+ "grad_norm": 0.09801312536001205,
1303
+ "learning_rate": 0.0002,
1304
+ "loss": 0.9554,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 1.717203184492904,
1309
+ "grad_norm": 0.1688520461320877,
1310
+ "learning_rate": 0.0002,
1311
+ "loss": 1.2497,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 1.7264335987077422,
1316
+ "grad_norm": 0.08527534455060959,
1317
+ "learning_rate": 0.0002,
1318
+ "loss": 1.0928,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 1.7356640129225798,
1323
+ "grad_norm": 0.19082818925380707,
1324
+ "learning_rate": 0.0002,
1325
+ "loss": 1.0729,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 1.7448944271374178,
1330
+ "grad_norm": 0.10551278293132782,
1331
+ "learning_rate": 0.0002,
1332
+ "loss": 1.2043,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 1.7541248413522557,
1337
+ "grad_norm": 0.0871649906039238,
1338
+ "learning_rate": 0.0002,
1339
+ "loss": 0.9317,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 1.7633552555670935,
1344
+ "grad_norm": 0.13540509343147278,
1345
+ "learning_rate": 0.0002,
1346
+ "loss": 1.2648,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 1.7725856697819315,
1351
+ "grad_norm": 0.0853731706738472,
1352
+ "learning_rate": 0.0002,
1353
+ "loss": 1.0521,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 1.7818160839967694,
1358
+ "grad_norm": 0.20368990302085876,
1359
+ "learning_rate": 0.0002,
1360
+ "loss": 1.1177,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 1.7910464982116072,
1365
+ "grad_norm": 0.09358594566583633,
1366
+ "learning_rate": 0.0002,
1367
+ "loss": 1.1872,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 1.8002769124264453,
1372
+ "grad_norm": 0.08881039917469025,
1373
+ "learning_rate": 0.0002,
1374
+ "loss": 0.9926,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 1.8095073266412829,
1379
+ "grad_norm": 0.14714112877845764,
1380
+ "learning_rate": 0.0002,
1381
+ "loss": 1.2216,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 1.818737740856121,
1386
+ "grad_norm": 0.08117840439081192,
1387
+ "learning_rate": 0.0002,
1388
+ "loss": 1.0313,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 1.8279681550709588,
1393
+ "grad_norm": 0.2248132824897766,
1394
+ "learning_rate": 0.0002,
1395
+ "loss": 1.1024,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 1.8371985692857966,
1400
+ "grad_norm": 0.11052978783845901,
1401
+ "learning_rate": 0.0002,
1402
+ "loss": 1.18,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 1.8464289835006347,
1407
+ "grad_norm": 0.08844051510095596,
1408
+ "learning_rate": 0.0002,
1409
+ "loss": 0.99,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 1.8556593977154725,
1414
+ "grad_norm": 0.17737261950969696,
1415
+ "learning_rate": 0.0002,
1416
+ "loss": 1.3163,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 1.8648898119303103,
1421
+ "grad_norm": 0.09116645157337189,
1422
+ "learning_rate": 0.0002,
1423
+ "loss": 1.0379,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 1.8741202261451484,
1428
+ "grad_norm": 0.16292434930801392,
1429
+ "learning_rate": 0.0002,
1430
+ "loss": 1.0473,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 1.883350640359986,
1435
+ "grad_norm": 0.09686768054962158,
1436
+ "learning_rate": 0.0002,
1437
+ "loss": 1.1816,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 1.892581054574824,
1442
+ "grad_norm": 0.09110133349895477,
1443
+ "learning_rate": 0.0002,
1444
+ "loss": 0.9796,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 1.901811468789662,
1449
+ "grad_norm": 0.1265280693769455,
1450
+ "learning_rate": 0.0002,
1451
+ "loss": 1.3238,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 1.9110418830044997,
1456
+ "grad_norm": 0.07903092354536057,
1457
+ "learning_rate": 0.0002,
1458
+ "loss": 1.0891,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 1.9202722972193378,
1463
+ "grad_norm": 0.17232394218444824,
1464
+ "learning_rate": 0.0002,
1465
+ "loss": 1.134,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 1.9295027114341756,
1470
+ "grad_norm": 0.10463748872280121,
1471
+ "learning_rate": 0.0002,
1472
+ "loss": 1.219,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 1.9387331256490135,
1477
+ "grad_norm": 0.09100574254989624,
1478
+ "learning_rate": 0.0002,
1479
+ "loss": 0.9918,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 1.9479635398638515,
1484
+ "grad_norm": 0.16899889707565308,
1485
+ "learning_rate": 0.0002,
1486
+ "loss": 1.2809,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 1.9571939540786891,
1491
+ "grad_norm": 0.08439228683710098,
1492
+ "learning_rate": 0.0002,
1493
+ "loss": 1.0566,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 1.9664243682935272,
1498
+ "grad_norm": 0.1993444412946701,
1499
+ "learning_rate": 0.0002,
1500
+ "loss": 1.0572,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 1.975654782508365,
1505
+ "grad_norm": 0.1062462106347084,
1506
+ "learning_rate": 0.0002,
1507
+ "loss": 1.2122,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 1.9848851967232028,
1512
+ "grad_norm": 0.08482355624437332,
1513
+ "learning_rate": 0.0002,
1514
+ "loss": 0.9347,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 1.994115610938041,
1519
+ "grad_norm": 0.13126371800899506,
1520
+ "learning_rate": 0.0002,
1521
+ "loss": 1.2604,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 2.0036921656859352,
1526
+ "grad_norm": 0.09182780981063843,
1527
+ "learning_rate": 0.0002,
1528
+ "loss": 1.1431,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 2.012922579900773,
1533
+ "grad_norm": 0.1420363485813141,
1534
+ "learning_rate": 0.0002,
1535
+ "loss": 0.8912,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 2.022152994115611,
1540
+ "grad_norm": 0.1376965492963791,
1541
+ "learning_rate": 0.0002,
1542
+ "loss": 1.1347,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 2.031383408330449,
1547
+ "grad_norm": 0.07587343454360962,
1548
+ "learning_rate": 0.0002,
1549
+ "loss": 0.7146,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 2.0406138225452866,
1554
+ "grad_norm": 0.20123699307441711,
1555
+ "learning_rate": 0.0002,
1556
+ "loss": 1.1783,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 2.0498442367601246,
1561
+ "grad_norm": 0.10732077807188034,
1562
+ "learning_rate": 0.0002,
1563
+ "loss": 0.8584,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 2.0590746509749627,
1568
+ "grad_norm": 0.19853752851486206,
1569
+ "learning_rate": 0.0002,
1570
+ "loss": 0.9121,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 2.0683050651898003,
1575
+ "grad_norm": 0.13605843484401703,
1576
+ "learning_rate": 0.0002,
1577
+ "loss": 1.1323,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 2.0775354794046383,
1582
+ "grad_norm": 0.07920292764902115,
1583
+ "learning_rate": 0.0002,
1584
+ "loss": 0.6811,
1585
+ "step": 2250
1586
+ }
1587
+ ],
1588
+ "logging_steps": 10,
1589
+ "max_steps": 10000,
1590
+ "num_input_tokens_seen": 0,
1591
+ "num_train_epochs": 10,
1592
+ "save_steps": 250,
1593
+ "stateful_callbacks": {
1594
+ "TrainerControl": {
1595
+ "args": {
1596
+ "should_epoch_stop": false,
1597
+ "should_evaluate": false,
1598
+ "should_log": false,
1599
+ "should_save": true,
1600
+ "should_training_stop": false
1601
+ },
1602
+ "attributes": {}
1603
+ }
1604
+ },
1605
+ "total_flos": 5.194849501524787e+17,
1606
+ "train_batch_size": 1,
1607
+ "trial_name": null,
1608
+ "trial_params": null
1609
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b3a33b28a63ef6c4eea67adc79f1ff24eadbb3100f3e0876901b03d61dc4d38
3
+ size 7992