tarunsinghgh6497 commited on
Commit
77150df
·
verified ·
1 Parent(s): 1d05ef2

Upload folder using huggingface_hub

Browse files
README.md CHANGED
@@ -3,7 +3,7 @@ base_model: deepseek-ai/deepseek-llm-7b-base
3
  library_name: peft
4
  pipeline_tag: text-generation
5
  tags:
6
- - base_model:adapter:deepseek-ai/deepseek-llm-7b-base
7
  - lora
8
  - transformers
9
  ---
@@ -22,7 +22,7 @@ tags:
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]
@@ -204,4 +204,4 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
204
  [More Information Needed]
205
  ### Framework versions
206
 
207
- - PEFT 0.17.0
 
3
  library_name: peft
4
  pipeline_tag: text-generation
5
  tags:
6
+ - "base_model:adapter:deepseek-ai/deepseek-llm-7b-base"
7
  - lora
8
  - transformers
9
  ---
 
22
 
23
 
24
 
25
+ - **Developed by:** Yash Patel
26
  - **Funded by [optional]:** [More Information Needed]
27
  - **Shared by [optional]:** [More Information Needed]
28
  - **Model type:** [More Information Needed]
 
204
  [More Information Needed]
205
  ### Framework versions
206
 
207
+ - PEFT 0.16.0
adapter_config.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
  "alpha_pattern": {},
3
  "auto_mapping": null,
4
- "base_model_name_or_path": "./local_deepseek",
5
  "bias": "none",
6
  "corda_config": null,
7
  "eva_config": null,
@@ -25,10 +25,9 @@
25
  "rank_pattern": {},
26
  "revision": null,
27
  "target_modules": [
28
- "v_proj",
29
- "q_proj"
30
  ],
31
- "target_parameters": null,
32
  "task_type": "CAUSAL_LM",
33
  "trainable_token_indices": null,
34
  "use_dora": false,
 
1
  {
2
  "alpha_pattern": {},
3
  "auto_mapping": null,
4
+ "base_model_name_or_path": "deepseek-ai/deepseek-llm-7b-base",
5
  "bias": "none",
6
  "corda_config": null,
7
  "eva_config": null,
 
25
  "rank_pattern": {},
26
  "revision": null,
27
  "target_modules": [
28
+ "q_proj",
29
+ "v_proj"
30
  ],
 
31
  "task_type": "CAUSAL_LM",
32
  "trainable_token_indices": null,
33
  "use_dora": false,
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bee2e75f6111b75502863e17f075419497350ef732733c7ccf240823cd1b2f01
3
  size 31473392
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:90afb5522f753a707d49aa165e0cec111ebf1fea7ef205d6353e91a9c4f3c7a0
3
  size 31473392
checkpoint-1500/README.md ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: ./local_deepseek
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:./local_deepseek
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 0.16.0
checkpoint-1500/adapter_config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "./local_deepseek",
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": 16,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "q_proj",
29
+ "v_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "trainable_token_indices": null,
33
+ "use_dora": false,
34
+ "use_qalora": false,
35
+ "use_rslora": false
36
+ }
checkpoint-1500/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de4507a6d4bbaab0f59a6bf44314afe0c34fcd44c7190a6ca2f219015b9b48b9
3
+ size 31473392
checkpoint-1500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:852edeb9c5ce44862cbbec4e08f2ac2a19442d75532b8e0455ceea38369130ef
3
+ size 63018123
checkpoint-1500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c03d5be69efac24567c1fbaf3c4300f072cbb97fb82cfbcde6e7af7fdccac138
3
+ size 14645
checkpoint-1500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4bcf829931b47e9815cf1b671ec171a9f49df4e5e418e94e0ffee769bb4b171a
3
+ size 1465
checkpoint-1500/special_tokens_map.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "<|end▁of▁sentence|>"
17
+ }
checkpoint-1500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1500/tokenizer_config.json ADDED
@@ -0,0 +1,138 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "100000": {
7
+ "content": "<|begin▁of▁sentence|>",
8
+ "lstrip": false,
9
+ "normalized": true,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "100001": {
15
+ "content": "<|end▁of▁sentence|>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "100002": {
23
+ "content": "ø",
24
+ "lstrip": false,
25
+ "normalized": true,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": false
29
+ },
30
+ "100003": {
31
+ "content": "ö",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": false
37
+ },
38
+ "100004": {
39
+ "content": "ú",
40
+ "lstrip": false,
41
+ "normalized": true,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": false
45
+ },
46
+ "100005": {
47
+ "content": "ÿ",
48
+ "lstrip": false,
49
+ "normalized": true,
50
+ "rstrip": false,
51
+ "single_word": false,
52
+ "special": false
53
+ },
54
+ "100006": {
55
+ "content": "õ",
56
+ "lstrip": false,
57
+ "normalized": true,
58
+ "rstrip": false,
59
+ "single_word": false,
60
+ "special": false
61
+ },
62
+ "100007": {
63
+ "content": "÷",
64
+ "lstrip": false,
65
+ "normalized": true,
66
+ "rstrip": false,
67
+ "single_word": false,
68
+ "special": false
69
+ },
70
+ "100008": {
71
+ "content": "û",
72
+ "lstrip": false,
73
+ "normalized": true,
74
+ "rstrip": false,
75
+ "single_word": false,
76
+ "special": false
77
+ },
78
+ "100009": {
79
+ "content": "ý",
80
+ "lstrip": false,
81
+ "normalized": true,
82
+ "rstrip": false,
83
+ "single_word": false,
84
+ "special": false
85
+ },
86
+ "100010": {
87
+ "content": "À",
88
+ "lstrip": false,
89
+ "normalized": true,
90
+ "rstrip": false,
91
+ "single_word": false,
92
+ "special": false
93
+ },
94
+ "100011": {
95
+ "content": "ù",
96
+ "lstrip": false,
97
+ "normalized": true,
98
+ "rstrip": false,
99
+ "single_word": false,
100
+ "special": false
101
+ },
102
+ "100012": {
103
+ "content": "Á",
104
+ "lstrip": false,
105
+ "normalized": true,
106
+ "rstrip": false,
107
+ "single_word": false,
108
+ "special": false
109
+ },
110
+ "100013": {
111
+ "content": "þ",
112
+ "lstrip": false,
113
+ "normalized": true,
114
+ "rstrip": false,
115
+ "single_word": false,
116
+ "special": false
117
+ },
118
+ "100014": {
119
+ "content": "ü",
120
+ "lstrip": false,
121
+ "normalized": true,
122
+ "rstrip": false,
123
+ "single_word": false,
124
+ "special": false
125
+ }
126
+ },
127
+ "bos_token": "<|begin▁of▁sentence|>",
128
+ "clean_up_tokenization_spaces": false,
129
+ "eos_token": "<|end▁of▁sentence|>",
130
+ "extra_special_tokens": {},
131
+ "legacy": true,
132
+ "model_max_length": 4096,
133
+ "pad_token": "<|end▁of▁sentence|>",
134
+ "sp_model_kwargs": {},
135
+ "tokenizer_class": "LlamaTokenizerFast",
136
+ "unk_token": null,
137
+ "use_default_system_prompt": false
138
+ }
checkpoint-1500/trainer_state.json ADDED
@@ -0,0 +1,1084 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.43920292801952,
6
+ "eval_steps": 500,
7
+ "global_step": 1500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.016266775111834077,
14
+ "grad_norm": 0.15190425515174866,
15
+ "learning_rate": 1.9902439024390247e-05,
16
+ "loss": 2.4224,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.032533550223668155,
21
+ "grad_norm": 0.13811910152435303,
22
+ "learning_rate": 1.9794037940379405e-05,
23
+ "loss": 2.4266,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.048800325335502236,
28
+ "grad_norm": 0.14573918282985687,
29
+ "learning_rate": 1.9685636856368567e-05,
30
+ "loss": 2.4425,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.06506710044733631,
35
+ "grad_norm": 0.16350996494293213,
36
+ "learning_rate": 1.9577235772357725e-05,
37
+ "loss": 2.397,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.08133387555917039,
42
+ "grad_norm": 0.14666102826595306,
43
+ "learning_rate": 1.9468834688346883e-05,
44
+ "loss": 2.3677,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.09760065067100447,
49
+ "grad_norm": 0.10224353522062302,
50
+ "learning_rate": 1.9360433604336045e-05,
51
+ "loss": 2.3969,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.11386742578283855,
56
+ "grad_norm": 0.19328653812408447,
57
+ "learning_rate": 1.9252032520325206e-05,
58
+ "loss": 2.4367,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.13013420089467262,
63
+ "grad_norm": 0.15589460730552673,
64
+ "learning_rate": 1.9143631436314365e-05,
65
+ "loss": 2.3979,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1464009760065067,
70
+ "grad_norm": 0.15351463854312897,
71
+ "learning_rate": 1.9035230352303523e-05,
72
+ "loss": 2.3628,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.16266775111834078,
77
+ "grad_norm": 0.1756143420934677,
78
+ "learning_rate": 1.8926829268292684e-05,
79
+ "loss": 2.4175,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.17893452623017486,
84
+ "grad_norm": 0.15267857909202576,
85
+ "learning_rate": 1.8818428184281846e-05,
86
+ "loss": 2.3335,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.19520130134200894,
91
+ "grad_norm": 0.15103495121002197,
92
+ "learning_rate": 1.8710027100271004e-05,
93
+ "loss": 2.3256,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.21146807645384302,
98
+ "grad_norm": 0.20331667363643646,
99
+ "learning_rate": 1.8601626016260162e-05,
100
+ "loss": 2.3173,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.2277348515656771,
105
+ "grad_norm": 0.18745240569114685,
106
+ "learning_rate": 1.8493224932249324e-05,
107
+ "loss": 2.3128,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.24400162667751119,
112
+ "grad_norm": 0.20769692957401276,
113
+ "learning_rate": 1.8384823848238485e-05,
114
+ "loss": 2.3524,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.26026840178934524,
119
+ "grad_norm": 0.2246929258108139,
120
+ "learning_rate": 1.8276422764227644e-05,
121
+ "loss": 2.3513,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.27653517690117935,
126
+ "grad_norm": 0.20076365768909454,
127
+ "learning_rate": 1.8168021680216802e-05,
128
+ "loss": 2.2622,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.2928019520130134,
133
+ "grad_norm": 0.2003357708454132,
134
+ "learning_rate": 1.8059620596205963e-05,
135
+ "loss": 2.2533,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3090687271248475,
140
+ "grad_norm": 0.2662675082683563,
141
+ "learning_rate": 1.7951219512195125e-05,
142
+ "loss": 2.2756,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.32533550223668156,
147
+ "grad_norm": 0.2601667046546936,
148
+ "learning_rate": 1.7842818428184283e-05,
149
+ "loss": 2.3471,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.34160227734851567,
154
+ "grad_norm": 0.3059883117675781,
155
+ "learning_rate": 1.773441734417344e-05,
156
+ "loss": 2.3301,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.3578690524603497,
161
+ "grad_norm": 0.20538951456546783,
162
+ "learning_rate": 1.7626016260162603e-05,
163
+ "loss": 2.2963,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.37413582757218383,
168
+ "grad_norm": 0.3262976109981537,
169
+ "learning_rate": 1.7517615176151764e-05,
170
+ "loss": 2.2957,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.3904026026840179,
175
+ "grad_norm": 0.22966964542865753,
176
+ "learning_rate": 1.7409214092140923e-05,
177
+ "loss": 2.2636,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.406669377795852,
182
+ "grad_norm": 0.26744940876960754,
183
+ "learning_rate": 1.730081300813008e-05,
184
+ "loss": 2.288,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.42293615290768605,
189
+ "grad_norm": 0.2023824006319046,
190
+ "learning_rate": 1.7192411924119242e-05,
191
+ "loss": 2.2703,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.43920292801952016,
196
+ "grad_norm": 0.2542593479156494,
197
+ "learning_rate": 1.7084010840108404e-05,
198
+ "loss": 2.2129,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.4554697031313542,
203
+ "grad_norm": 0.2524624466896057,
204
+ "learning_rate": 1.6975609756097562e-05,
205
+ "loss": 2.2678,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.47173647824318826,
210
+ "grad_norm": 0.28020623326301575,
211
+ "learning_rate": 1.686720867208672e-05,
212
+ "loss": 2.3569,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.48800325335502237,
217
+ "grad_norm": 0.2878577709197998,
218
+ "learning_rate": 1.6758807588075882e-05,
219
+ "loss": 2.2217,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5042700284668564,
224
+ "grad_norm": 0.20536544919013977,
225
+ "learning_rate": 1.6650406504065043e-05,
226
+ "loss": 2.3558,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5205368035786905,
231
+ "grad_norm": 0.20909422636032104,
232
+ "learning_rate": 1.65420054200542e-05,
233
+ "loss": 2.2742,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.5368035786905246,
238
+ "grad_norm": 0.4000333249568939,
239
+ "learning_rate": 1.6433604336043363e-05,
240
+ "loss": 2.2846,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.5530703538023587,
245
+ "grad_norm": 0.31831657886505127,
246
+ "learning_rate": 1.632520325203252e-05,
247
+ "loss": 2.2377,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.5693371289141927,
252
+ "grad_norm": 0.28702083230018616,
253
+ "learning_rate": 1.6216802168021683e-05,
254
+ "loss": 2.3066,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.5856039040260268,
259
+ "grad_norm": 0.34019768238067627,
260
+ "learning_rate": 1.610840108401084e-05,
261
+ "loss": 2.2489,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.601870679137861,
266
+ "grad_norm": 0.3892984688282013,
267
+ "learning_rate": 1.6000000000000003e-05,
268
+ "loss": 2.3081,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.618137454249695,
273
+ "grad_norm": 0.26910895109176636,
274
+ "learning_rate": 1.589159891598916e-05,
275
+ "loss": 2.1796,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.6344042293615291,
280
+ "grad_norm": 0.25772690773010254,
281
+ "learning_rate": 1.5783197831978322e-05,
282
+ "loss": 2.2078,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.6506710044733631,
287
+ "grad_norm": 0.553435206413269,
288
+ "learning_rate": 1.567479674796748e-05,
289
+ "loss": 2.2078,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.6669377795851973,
294
+ "grad_norm": 0.22907570004463196,
295
+ "learning_rate": 1.5566395663956642e-05,
296
+ "loss": 2.2428,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.6832045546970313,
301
+ "grad_norm": 0.3672320246696472,
302
+ "learning_rate": 1.54579945799458e-05,
303
+ "loss": 2.2479,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.6994713298088654,
308
+ "grad_norm": 0.4416728615760803,
309
+ "learning_rate": 1.534959349593496e-05,
310
+ "loss": 2.2236,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.7157381049206994,
315
+ "grad_norm": 0.37598440051078796,
316
+ "learning_rate": 1.524119241192412e-05,
317
+ "loss": 2.2146,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.7320048800325335,
322
+ "grad_norm": 0.4336397647857666,
323
+ "learning_rate": 1.5132791327913282e-05,
324
+ "loss": 2.2324,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.7482716551443677,
329
+ "grad_norm": 0.29831627011299133,
330
+ "learning_rate": 1.502439024390244e-05,
331
+ "loss": 2.2328,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.7645384302562017,
336
+ "grad_norm": 0.5829563140869141,
337
+ "learning_rate": 1.49159891598916e-05,
338
+ "loss": 2.2147,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.7808052053680358,
343
+ "grad_norm": 0.25096556544303894,
344
+ "learning_rate": 1.4807588075880761e-05,
345
+ "loss": 2.2572,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.7970719804798698,
350
+ "grad_norm": 0.3719277083873749,
351
+ "learning_rate": 1.4699186991869921e-05,
352
+ "loss": 2.1964,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.813338755591704,
357
+ "grad_norm": 0.3131086528301239,
358
+ "learning_rate": 1.459078590785908e-05,
359
+ "loss": 2.2893,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.829605530703538,
364
+ "grad_norm": 0.31521037220954895,
365
+ "learning_rate": 1.448238482384824e-05,
366
+ "loss": 2.2498,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.8458723058153721,
371
+ "grad_norm": 0.3911826014518738,
372
+ "learning_rate": 1.43739837398374e-05,
373
+ "loss": 2.2444,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.8621390809272061,
378
+ "grad_norm": 0.27660906314849854,
379
+ "learning_rate": 1.4265582655826559e-05,
380
+ "loss": 2.2571,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.8784058560390403,
385
+ "grad_norm": 0.5232799053192139,
386
+ "learning_rate": 1.4157181571815719e-05,
387
+ "loss": 2.2419,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.8946726311508744,
392
+ "grad_norm": 0.3597722053527832,
393
+ "learning_rate": 1.4048780487804879e-05,
394
+ "loss": 2.2426,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.9109394062627084,
399
+ "grad_norm": 0.3321545422077179,
400
+ "learning_rate": 1.394037940379404e-05,
401
+ "loss": 2.2136,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.9272061813745425,
406
+ "grad_norm": 0.4088381826877594,
407
+ "learning_rate": 1.3831978319783199e-05,
408
+ "loss": 2.1917,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.9434729564863765,
413
+ "grad_norm": 0.4453414976596832,
414
+ "learning_rate": 1.3723577235772358e-05,
415
+ "loss": 2.2404,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.9597397315982107,
420
+ "grad_norm": 0.33261504769325256,
421
+ "learning_rate": 1.3615176151761518e-05,
422
+ "loss": 2.2778,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.9760065067100447,
427
+ "grad_norm": 0.3876469135284424,
428
+ "learning_rate": 1.350677506775068e-05,
429
+ "loss": 2.1898,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.9922732818218788,
434
+ "grad_norm": 0.33917632699012756,
435
+ "learning_rate": 1.3398373983739838e-05,
436
+ "loss": 2.2822,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 1.008133387555917,
441
+ "grad_norm": 0.33381298184394836,
442
+ "learning_rate": 1.3289972899728998e-05,
443
+ "loss": 2.2269,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 1.024400162667751,
448
+ "grad_norm": 0.284834623336792,
449
+ "learning_rate": 1.318157181571816e-05,
450
+ "loss": 2.2241,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 1.0406669377795852,
455
+ "grad_norm": 0.4045396149158478,
456
+ "learning_rate": 1.307317073170732e-05,
457
+ "loss": 2.2347,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 1.0569337128914194,
462
+ "grad_norm": 0.543749213218689,
463
+ "learning_rate": 1.2964769647696478e-05,
464
+ "loss": 2.1799,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 1.0732004880032533,
469
+ "grad_norm": 0.34489476680755615,
470
+ "learning_rate": 1.2856368563685637e-05,
471
+ "loss": 2.24,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 1.0894672631150875,
476
+ "grad_norm": 0.4727187752723694,
477
+ "learning_rate": 1.2747967479674799e-05,
478
+ "loss": 2.2818,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 1.1057340382269216,
483
+ "grad_norm": 0.41018274426460266,
484
+ "learning_rate": 1.2639566395663959e-05,
485
+ "loss": 2.1991,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 1.1220008133387556,
490
+ "grad_norm": 0.3846307098865509,
491
+ "learning_rate": 1.2531165311653117e-05,
492
+ "loss": 2.1835,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 1.1382675884505897,
497
+ "grad_norm": 0.45072686672210693,
498
+ "learning_rate": 1.2422764227642277e-05,
499
+ "loss": 2.2661,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 1.1545343635624237,
504
+ "grad_norm": 0.4832310676574707,
505
+ "learning_rate": 1.2314363143631439e-05,
506
+ "loss": 2.216,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 1.1708011386742578,
511
+ "grad_norm": 0.5275405049324036,
512
+ "learning_rate": 1.2205962059620597e-05,
513
+ "loss": 2.208,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 1.187067913786092,
518
+ "grad_norm": 0.3692767322063446,
519
+ "learning_rate": 1.2097560975609757e-05,
520
+ "loss": 2.289,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 1.203334688897926,
525
+ "grad_norm": 0.29335182905197144,
526
+ "learning_rate": 1.1989159891598916e-05,
527
+ "loss": 2.1959,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 1.21960146400976,
532
+ "grad_norm": 0.49091747403144836,
533
+ "learning_rate": 1.1880758807588078e-05,
534
+ "loss": 2.1451,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 1.235868239121594,
539
+ "grad_norm": 0.3522561490535736,
540
+ "learning_rate": 1.1772357723577236e-05,
541
+ "loss": 2.248,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 1.2521350142334282,
546
+ "grad_norm": 0.41444632411003113,
547
+ "learning_rate": 1.1663956639566396e-05,
548
+ "loss": 2.1832,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 1.2684017893452624,
553
+ "grad_norm": 0.4403276741504669,
554
+ "learning_rate": 1.1555555555555556e-05,
555
+ "loss": 2.1923,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 1.2846685644570963,
560
+ "grad_norm": 0.4993409514427185,
561
+ "learning_rate": 1.1447154471544718e-05,
562
+ "loss": 2.1518,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 1.3009353395689305,
567
+ "grad_norm": 0.3903736174106598,
568
+ "learning_rate": 1.1338753387533876e-05,
569
+ "loss": 2.19,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 1.3172021146807644,
574
+ "grad_norm": 0.31108370423316956,
575
+ "learning_rate": 1.1230352303523036e-05,
576
+ "loss": 2.1852,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 1.3334688897925986,
581
+ "grad_norm": 0.3845357894897461,
582
+ "learning_rate": 1.1121951219512197e-05,
583
+ "loss": 2.1589,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 1.3497356649044328,
588
+ "grad_norm": 0.4706804156303406,
589
+ "learning_rate": 1.1013550135501357e-05,
590
+ "loss": 2.1925,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 1.3660024400162667,
595
+ "grad_norm": 0.33979251980781555,
596
+ "learning_rate": 1.0905149051490515e-05,
597
+ "loss": 2.2165,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 1.3822692151281009,
602
+ "grad_norm": 0.6070290803909302,
603
+ "learning_rate": 1.0796747967479675e-05,
604
+ "loss": 2.2304,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 1.3985359902399348,
609
+ "grad_norm": 0.3914659321308136,
610
+ "learning_rate": 1.0688346883468837e-05,
611
+ "loss": 2.1945,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 1.414802765351769,
616
+ "grad_norm": 0.38425302505493164,
617
+ "learning_rate": 1.0579945799457995e-05,
618
+ "loss": 2.1799,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 1.4310695404636031,
623
+ "grad_norm": 0.3691774904727936,
624
+ "learning_rate": 1.0471544715447155e-05,
625
+ "loss": 2.1812,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 1.4473363155754373,
630
+ "grad_norm": 0.4350150525569916,
631
+ "learning_rate": 1.0363143631436315e-05,
632
+ "loss": 2.2151,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 1.4636030906872712,
637
+ "grad_norm": 0.37822458148002625,
638
+ "learning_rate": 1.0254742547425476e-05,
639
+ "loss": 2.2839,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 1.4798698657991054,
644
+ "grad_norm": 0.4036807715892792,
645
+ "learning_rate": 1.0146341463414634e-05,
646
+ "loss": 2.2456,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 1.4961366409109393,
651
+ "grad_norm": 0.3395715653896332,
652
+ "learning_rate": 1.0037940379403794e-05,
653
+ "loss": 2.2455,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 1.5124034160227735,
658
+ "grad_norm": 0.8333190679550171,
659
+ "learning_rate": 9.929539295392954e-06,
660
+ "loss": 2.215,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 1.5286701911346077,
665
+ "grad_norm": 0.47911304235458374,
666
+ "learning_rate": 9.821138211382114e-06,
667
+ "loss": 2.2095,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 1.5449369662464416,
672
+ "grad_norm": 0.421014666557312,
673
+ "learning_rate": 9.712737127371274e-06,
674
+ "loss": 2.2236,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 1.5612037413582758,
679
+ "grad_norm": 0.48267999291419983,
680
+ "learning_rate": 9.604336043360435e-06,
681
+ "loss": 2.2163,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 1.5774705164701097,
686
+ "grad_norm": 0.39987218379974365,
687
+ "learning_rate": 9.495934959349594e-06,
688
+ "loss": 2.1863,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 1.5937372915819439,
693
+ "grad_norm": 0.6446450352668762,
694
+ "learning_rate": 9.387533875338755e-06,
695
+ "loss": 2.1801,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 1.610004066693778,
700
+ "grad_norm": 0.4291459321975708,
701
+ "learning_rate": 9.279132791327913e-06,
702
+ "loss": 2.2346,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 1.626270841805612,
707
+ "grad_norm": 0.5329392552375793,
708
+ "learning_rate": 9.170731707317075e-06,
709
+ "loss": 2.1606,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 1.6425376169174462,
714
+ "grad_norm": 0.6420161128044128,
715
+ "learning_rate": 9.062330623306233e-06,
716
+ "loss": 2.1936,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 1.65880439202928,
721
+ "grad_norm": 0.5436628460884094,
722
+ "learning_rate": 8.953929539295395e-06,
723
+ "loss": 2.182,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 1.6750711671411143,
728
+ "grad_norm": 0.3877139985561371,
729
+ "learning_rate": 8.845528455284553e-06,
730
+ "loss": 2.2317,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 1.6913379422529484,
735
+ "grad_norm": 0.5903089046478271,
736
+ "learning_rate": 8.737127371273714e-06,
737
+ "loss": 2.2121,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 1.7076047173647826,
742
+ "grad_norm": 0.4182610511779785,
743
+ "learning_rate": 8.628726287262873e-06,
744
+ "loss": 2.1664,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 1.7238714924766165,
749
+ "grad_norm": 0.701687216758728,
750
+ "learning_rate": 8.520325203252033e-06,
751
+ "loss": 2.1705,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 1.7401382675884505,
756
+ "grad_norm": 0.6748879551887512,
757
+ "learning_rate": 8.411924119241192e-06,
758
+ "loss": 2.209,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 1.7564050427002846,
763
+ "grad_norm": 0.49491748213768005,
764
+ "learning_rate": 8.303523035230352e-06,
765
+ "loss": 2.1947,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 1.7726718178121188,
770
+ "grad_norm": 0.4370752274990082,
771
+ "learning_rate": 8.195121951219512e-06,
772
+ "loss": 2.1833,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 1.788938592923953,
777
+ "grad_norm": 0.3895672559738159,
778
+ "learning_rate": 8.086720867208672e-06,
779
+ "loss": 2.2577,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 1.805205368035787,
784
+ "grad_norm": 0.3882943093776703,
785
+ "learning_rate": 7.978319783197834e-06,
786
+ "loss": 2.1802,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 1.8214721431476208,
791
+ "grad_norm": 0.4686112403869629,
792
+ "learning_rate": 7.869918699186992e-06,
793
+ "loss": 2.1258,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 1.837738918259455,
798
+ "grad_norm": 0.5097848773002625,
799
+ "learning_rate": 7.761517615176153e-06,
800
+ "loss": 2.212,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 1.8540056933712892,
805
+ "grad_norm": 0.49870142340660095,
806
+ "learning_rate": 7.653116531165312e-06,
807
+ "loss": 2.2587,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 1.8702724684831233,
812
+ "grad_norm": 0.612582266330719,
813
+ "learning_rate": 7.544715447154472e-06,
814
+ "loss": 2.1571,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 1.8865392435949573,
819
+ "grad_norm": 0.5550523400306702,
820
+ "learning_rate": 7.436314363143632e-06,
821
+ "loss": 2.1993,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 1.9028060187067912,
826
+ "grad_norm": 0.921201229095459,
827
+ "learning_rate": 7.327913279132792e-06,
828
+ "loss": 2.1619,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 1.9190727938186254,
833
+ "grad_norm": 0.5052744746208191,
834
+ "learning_rate": 7.219512195121952e-06,
835
+ "loss": 2.1743,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 1.9353395689304596,
840
+ "grad_norm": 0.6115371584892273,
841
+ "learning_rate": 7.111111111111112e-06,
842
+ "loss": 2.1839,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 1.9516063440422937,
847
+ "grad_norm": 0.5317726731300354,
848
+ "learning_rate": 7.002710027100271e-06,
849
+ "loss": 2.1704,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 1.9678731191541277,
854
+ "grad_norm": 0.4624195694923401,
855
+ "learning_rate": 6.894308943089432e-06,
856
+ "loss": 2.2127,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 1.9841398942659618,
861
+ "grad_norm": 0.50515216588974,
862
+ "learning_rate": 6.785907859078591e-06,
863
+ "loss": 2.1522,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 2.0,
868
+ "grad_norm": 0.6244822144508362,
869
+ "learning_rate": 6.677506775067751e-06,
870
+ "loss": 2.1697,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 2.016266775111834,
875
+ "grad_norm": 0.5226220488548279,
876
+ "learning_rate": 6.56910569105691e-06,
877
+ "loss": 2.2529,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 2.0325335502236683,
882
+ "grad_norm": 0.4408818483352661,
883
+ "learning_rate": 6.460704607046071e-06,
884
+ "loss": 2.1999,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 2.048800325335502,
889
+ "grad_norm": 0.7718443870544434,
890
+ "learning_rate": 6.35230352303523e-06,
891
+ "loss": 2.2005,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 2.065067100447336,
896
+ "grad_norm": 0.6275615692138672,
897
+ "learning_rate": 6.243902439024391e-06,
898
+ "loss": 2.2281,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 2.0813338755591704,
903
+ "grad_norm": 0.6543229222297668,
904
+ "learning_rate": 6.1355013550135516e-06,
905
+ "loss": 2.1983,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 2.0976006506710045,
910
+ "grad_norm": 0.7339210510253906,
911
+ "learning_rate": 6.027100271002711e-06,
912
+ "loss": 2.1846,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 2.1138674257828387,
917
+ "grad_norm": 0.5071961879730225,
918
+ "learning_rate": 5.9186991869918705e-06,
919
+ "loss": 2.2138,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 2.1301342008946724,
924
+ "grad_norm": 0.45426690578460693,
925
+ "learning_rate": 5.81029810298103e-06,
926
+ "loss": 2.1002,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 2.1464009760065066,
931
+ "grad_norm": 0.47942936420440674,
932
+ "learning_rate": 5.70189701897019e-06,
933
+ "loss": 2.1142,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 2.1626677511183408,
938
+ "grad_norm": 0.44700875878334045,
939
+ "learning_rate": 5.59349593495935e-06,
940
+ "loss": 2.1702,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 2.178934526230175,
945
+ "grad_norm": 0.7139628529548645,
946
+ "learning_rate": 5.48509485094851e-06,
947
+ "loss": 2.1564,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 2.195201301342009,
952
+ "grad_norm": 0.657394289970398,
953
+ "learning_rate": 5.37669376693767e-06,
954
+ "loss": 2.1804,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 2.2114680764538432,
959
+ "grad_norm": 0.4319300651550293,
960
+ "learning_rate": 5.26829268292683e-06,
961
+ "loss": 2.195,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 2.227734851565677,
966
+ "grad_norm": 0.71416175365448,
967
+ "learning_rate": 5.15989159891599e-06,
968
+ "loss": 2.1752,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 2.244001626677511,
973
+ "grad_norm": 0.5899174213409424,
974
+ "learning_rate": 5.0514905149051495e-06,
975
+ "loss": 2.1484,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 2.2602684017893453,
980
+ "grad_norm": 0.5278040766716003,
981
+ "learning_rate": 4.943089430894309e-06,
982
+ "loss": 2.1897,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 2.2765351769011795,
987
+ "grad_norm": 0.7354372143745422,
988
+ "learning_rate": 4.834688346883469e-06,
989
+ "loss": 2.1969,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 2.292801952013013,
994
+ "grad_norm": 0.5477260947227478,
995
+ "learning_rate": 4.726287262872629e-06,
996
+ "loss": 2.2058,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 2.3090687271248473,
1001
+ "grad_norm": 0.5498638153076172,
1002
+ "learning_rate": 4.617886178861789e-06,
1003
+ "loss": 2.1328,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 2.3253355022366815,
1008
+ "grad_norm": 0.6466209292411804,
1009
+ "learning_rate": 4.509485094850949e-06,
1010
+ "loss": 2.1908,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 2.3416022773485157,
1015
+ "grad_norm": 0.6899780631065369,
1016
+ "learning_rate": 4.401084010840109e-06,
1017
+ "loss": 2.1283,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 2.35786905246035,
1022
+ "grad_norm": 0.6455110907554626,
1023
+ "learning_rate": 4.292682926829269e-06,
1024
+ "loss": 2.2166,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 2.374135827572184,
1029
+ "grad_norm": 0.4662465751171112,
1030
+ "learning_rate": 4.1842818428184285e-06,
1031
+ "loss": 2.0987,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 2.3904026026840177,
1036
+ "grad_norm": 0.5388475656509399,
1037
+ "learning_rate": 4.075880758807588e-06,
1038
+ "loss": 2.1783,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 2.406669377795852,
1043
+ "grad_norm": 0.5845710039138794,
1044
+ "learning_rate": 3.967479674796748e-06,
1045
+ "loss": 2.1145,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 2.422936152907686,
1050
+ "grad_norm": 0.4962908923625946,
1051
+ "learning_rate": 3.859078590785908e-06,
1052
+ "loss": 2.1879,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 2.43920292801952,
1057
+ "grad_norm": 0.7771344780921936,
1058
+ "learning_rate": 3.7506775067750676e-06,
1059
+ "loss": 2.1892,
1060
+ "step": 1500
1061
+ }
1062
+ ],
1063
+ "logging_steps": 10,
1064
+ "max_steps": 1845,
1065
+ "num_input_tokens_seen": 0,
1066
+ "num_train_epochs": 3,
1067
+ "save_steps": 500,
1068
+ "stateful_callbacks": {
1069
+ "TrainerControl": {
1070
+ "args": {
1071
+ "should_epoch_stop": false,
1072
+ "should_evaluate": false,
1073
+ "should_log": false,
1074
+ "should_save": true,
1075
+ "should_training_stop": false
1076
+ },
1077
+ "attributes": {}
1078
+ }
1079
+ },
1080
+ "total_flos": 4.8085481399373005e+17,
1081
+ "train_batch_size": 1,
1082
+ "trial_name": null,
1083
+ "trial_params": null
1084
+ }
checkpoint-1500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:018cc1d55d2ff18e3ef653458af0905c473e4c15684121019fe78e8b522e3247
3
+ size 5713
checkpoint-1845/README.md ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: ./local_deepseek
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:./local_deepseek
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 0.16.0
checkpoint-1845/adapter_config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "./local_deepseek",
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": 16,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "q_proj",
29
+ "v_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "trainable_token_indices": null,
33
+ "use_dora": false,
34
+ "use_qalora": false,
35
+ "use_rslora": false
36
+ }
checkpoint-1845/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:90afb5522f753a707d49aa165e0cec111ebf1fea7ef205d6353e91a9c4f3c7a0
3
+ size 31473392
checkpoint-1845/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8637067a20de144575c3d316b5e4bd6742a961c10694a10282636bd51ebca6a
3
+ size 63018123
checkpoint-1845/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf1116cc1aeff093c47ddee96d1879863e5bc603b48e39a215db03c20e8e7cea
3
+ size 14645
checkpoint-1845/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:39e7840d44b82d33101594ea51e52772977204dd84b908360b3d0952d5ef06af
3
+ size 1465
checkpoint-1845/special_tokens_map.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "<|end▁of▁sentence|>"
17
+ }
checkpoint-1845/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1845/tokenizer_config.json ADDED
@@ -0,0 +1,138 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "100000": {
7
+ "content": "<|begin▁of▁sentence|>",
8
+ "lstrip": false,
9
+ "normalized": true,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "100001": {
15
+ "content": "<|end▁of▁sentence|>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "100002": {
23
+ "content": "ø",
24
+ "lstrip": false,
25
+ "normalized": true,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": false
29
+ },
30
+ "100003": {
31
+ "content": "ö",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": false
37
+ },
38
+ "100004": {
39
+ "content": "ú",
40
+ "lstrip": false,
41
+ "normalized": true,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": false
45
+ },
46
+ "100005": {
47
+ "content": "ÿ",
48
+ "lstrip": false,
49
+ "normalized": true,
50
+ "rstrip": false,
51
+ "single_word": false,
52
+ "special": false
53
+ },
54
+ "100006": {
55
+ "content": "õ",
56
+ "lstrip": false,
57
+ "normalized": true,
58
+ "rstrip": false,
59
+ "single_word": false,
60
+ "special": false
61
+ },
62
+ "100007": {
63
+ "content": "÷",
64
+ "lstrip": false,
65
+ "normalized": true,
66
+ "rstrip": false,
67
+ "single_word": false,
68
+ "special": false
69
+ },
70
+ "100008": {
71
+ "content": "û",
72
+ "lstrip": false,
73
+ "normalized": true,
74
+ "rstrip": false,
75
+ "single_word": false,
76
+ "special": false
77
+ },
78
+ "100009": {
79
+ "content": "ý",
80
+ "lstrip": false,
81
+ "normalized": true,
82
+ "rstrip": false,
83
+ "single_word": false,
84
+ "special": false
85
+ },
86
+ "100010": {
87
+ "content": "À",
88
+ "lstrip": false,
89
+ "normalized": true,
90
+ "rstrip": false,
91
+ "single_word": false,
92
+ "special": false
93
+ },
94
+ "100011": {
95
+ "content": "ù",
96
+ "lstrip": false,
97
+ "normalized": true,
98
+ "rstrip": false,
99
+ "single_word": false,
100
+ "special": false
101
+ },
102
+ "100012": {
103
+ "content": "Á",
104
+ "lstrip": false,
105
+ "normalized": true,
106
+ "rstrip": false,
107
+ "single_word": false,
108
+ "special": false
109
+ },
110
+ "100013": {
111
+ "content": "þ",
112
+ "lstrip": false,
113
+ "normalized": true,
114
+ "rstrip": false,
115
+ "single_word": false,
116
+ "special": false
117
+ },
118
+ "100014": {
119
+ "content": "ü",
120
+ "lstrip": false,
121
+ "normalized": true,
122
+ "rstrip": false,
123
+ "single_word": false,
124
+ "special": false
125
+ }
126
+ },
127
+ "bos_token": "<|begin▁of▁sentence|>",
128
+ "clean_up_tokenization_spaces": false,
129
+ "eos_token": "<|end▁of▁sentence|>",
130
+ "extra_special_tokens": {},
131
+ "legacy": true,
132
+ "model_max_length": 4096,
133
+ "pad_token": "<|end▁of▁sentence|>",
134
+ "sp_model_kwargs": {},
135
+ "tokenizer_class": "LlamaTokenizerFast",
136
+ "unk_token": null,
137
+ "use_default_system_prompt": false
138
+ }
checkpoint-1845/trainer_state.json ADDED
@@ -0,0 +1,1322 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 3.0,
6
+ "eval_steps": 500,
7
+ "global_step": 1845,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.016266775111834077,
14
+ "grad_norm": 0.15190425515174866,
15
+ "learning_rate": 1.9902439024390247e-05,
16
+ "loss": 2.4224,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.032533550223668155,
21
+ "grad_norm": 0.13811910152435303,
22
+ "learning_rate": 1.9794037940379405e-05,
23
+ "loss": 2.4266,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.048800325335502236,
28
+ "grad_norm": 0.14573918282985687,
29
+ "learning_rate": 1.9685636856368567e-05,
30
+ "loss": 2.4425,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.06506710044733631,
35
+ "grad_norm": 0.16350996494293213,
36
+ "learning_rate": 1.9577235772357725e-05,
37
+ "loss": 2.397,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.08133387555917039,
42
+ "grad_norm": 0.14666102826595306,
43
+ "learning_rate": 1.9468834688346883e-05,
44
+ "loss": 2.3677,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.09760065067100447,
49
+ "grad_norm": 0.10224353522062302,
50
+ "learning_rate": 1.9360433604336045e-05,
51
+ "loss": 2.3969,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.11386742578283855,
56
+ "grad_norm": 0.19328653812408447,
57
+ "learning_rate": 1.9252032520325206e-05,
58
+ "loss": 2.4367,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.13013420089467262,
63
+ "grad_norm": 0.15589460730552673,
64
+ "learning_rate": 1.9143631436314365e-05,
65
+ "loss": 2.3979,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1464009760065067,
70
+ "grad_norm": 0.15351463854312897,
71
+ "learning_rate": 1.9035230352303523e-05,
72
+ "loss": 2.3628,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.16266775111834078,
77
+ "grad_norm": 0.1756143420934677,
78
+ "learning_rate": 1.8926829268292684e-05,
79
+ "loss": 2.4175,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.17893452623017486,
84
+ "grad_norm": 0.15267857909202576,
85
+ "learning_rate": 1.8818428184281846e-05,
86
+ "loss": 2.3335,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.19520130134200894,
91
+ "grad_norm": 0.15103495121002197,
92
+ "learning_rate": 1.8710027100271004e-05,
93
+ "loss": 2.3256,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.21146807645384302,
98
+ "grad_norm": 0.20331667363643646,
99
+ "learning_rate": 1.8601626016260162e-05,
100
+ "loss": 2.3173,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.2277348515656771,
105
+ "grad_norm": 0.18745240569114685,
106
+ "learning_rate": 1.8493224932249324e-05,
107
+ "loss": 2.3128,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.24400162667751119,
112
+ "grad_norm": 0.20769692957401276,
113
+ "learning_rate": 1.8384823848238485e-05,
114
+ "loss": 2.3524,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.26026840178934524,
119
+ "grad_norm": 0.2246929258108139,
120
+ "learning_rate": 1.8276422764227644e-05,
121
+ "loss": 2.3513,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.27653517690117935,
126
+ "grad_norm": 0.20076365768909454,
127
+ "learning_rate": 1.8168021680216802e-05,
128
+ "loss": 2.2622,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.2928019520130134,
133
+ "grad_norm": 0.2003357708454132,
134
+ "learning_rate": 1.8059620596205963e-05,
135
+ "loss": 2.2533,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3090687271248475,
140
+ "grad_norm": 0.2662675082683563,
141
+ "learning_rate": 1.7951219512195125e-05,
142
+ "loss": 2.2756,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.32533550223668156,
147
+ "grad_norm": 0.2601667046546936,
148
+ "learning_rate": 1.7842818428184283e-05,
149
+ "loss": 2.3471,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.34160227734851567,
154
+ "grad_norm": 0.3059883117675781,
155
+ "learning_rate": 1.773441734417344e-05,
156
+ "loss": 2.3301,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.3578690524603497,
161
+ "grad_norm": 0.20538951456546783,
162
+ "learning_rate": 1.7626016260162603e-05,
163
+ "loss": 2.2963,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.37413582757218383,
168
+ "grad_norm": 0.3262976109981537,
169
+ "learning_rate": 1.7517615176151764e-05,
170
+ "loss": 2.2957,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.3904026026840179,
175
+ "grad_norm": 0.22966964542865753,
176
+ "learning_rate": 1.7409214092140923e-05,
177
+ "loss": 2.2636,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.406669377795852,
182
+ "grad_norm": 0.26744940876960754,
183
+ "learning_rate": 1.730081300813008e-05,
184
+ "loss": 2.288,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.42293615290768605,
189
+ "grad_norm": 0.2023824006319046,
190
+ "learning_rate": 1.7192411924119242e-05,
191
+ "loss": 2.2703,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.43920292801952016,
196
+ "grad_norm": 0.2542593479156494,
197
+ "learning_rate": 1.7084010840108404e-05,
198
+ "loss": 2.2129,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.4554697031313542,
203
+ "grad_norm": 0.2524624466896057,
204
+ "learning_rate": 1.6975609756097562e-05,
205
+ "loss": 2.2678,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.47173647824318826,
210
+ "grad_norm": 0.28020623326301575,
211
+ "learning_rate": 1.686720867208672e-05,
212
+ "loss": 2.3569,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.48800325335502237,
217
+ "grad_norm": 0.2878577709197998,
218
+ "learning_rate": 1.6758807588075882e-05,
219
+ "loss": 2.2217,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5042700284668564,
224
+ "grad_norm": 0.20536544919013977,
225
+ "learning_rate": 1.6650406504065043e-05,
226
+ "loss": 2.3558,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5205368035786905,
231
+ "grad_norm": 0.20909422636032104,
232
+ "learning_rate": 1.65420054200542e-05,
233
+ "loss": 2.2742,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.5368035786905246,
238
+ "grad_norm": 0.4000333249568939,
239
+ "learning_rate": 1.6433604336043363e-05,
240
+ "loss": 2.2846,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.5530703538023587,
245
+ "grad_norm": 0.31831657886505127,
246
+ "learning_rate": 1.632520325203252e-05,
247
+ "loss": 2.2377,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.5693371289141927,
252
+ "grad_norm": 0.28702083230018616,
253
+ "learning_rate": 1.6216802168021683e-05,
254
+ "loss": 2.3066,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.5856039040260268,
259
+ "grad_norm": 0.34019768238067627,
260
+ "learning_rate": 1.610840108401084e-05,
261
+ "loss": 2.2489,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.601870679137861,
266
+ "grad_norm": 0.3892984688282013,
267
+ "learning_rate": 1.6000000000000003e-05,
268
+ "loss": 2.3081,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.618137454249695,
273
+ "grad_norm": 0.26910895109176636,
274
+ "learning_rate": 1.589159891598916e-05,
275
+ "loss": 2.1796,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.6344042293615291,
280
+ "grad_norm": 0.25772690773010254,
281
+ "learning_rate": 1.5783197831978322e-05,
282
+ "loss": 2.2078,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.6506710044733631,
287
+ "grad_norm": 0.553435206413269,
288
+ "learning_rate": 1.567479674796748e-05,
289
+ "loss": 2.2078,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.6669377795851973,
294
+ "grad_norm": 0.22907570004463196,
295
+ "learning_rate": 1.5566395663956642e-05,
296
+ "loss": 2.2428,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.6832045546970313,
301
+ "grad_norm": 0.3672320246696472,
302
+ "learning_rate": 1.54579945799458e-05,
303
+ "loss": 2.2479,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.6994713298088654,
308
+ "grad_norm": 0.4416728615760803,
309
+ "learning_rate": 1.534959349593496e-05,
310
+ "loss": 2.2236,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.7157381049206994,
315
+ "grad_norm": 0.37598440051078796,
316
+ "learning_rate": 1.524119241192412e-05,
317
+ "loss": 2.2146,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.7320048800325335,
322
+ "grad_norm": 0.4336397647857666,
323
+ "learning_rate": 1.5132791327913282e-05,
324
+ "loss": 2.2324,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.7482716551443677,
329
+ "grad_norm": 0.29831627011299133,
330
+ "learning_rate": 1.502439024390244e-05,
331
+ "loss": 2.2328,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.7645384302562017,
336
+ "grad_norm": 0.5829563140869141,
337
+ "learning_rate": 1.49159891598916e-05,
338
+ "loss": 2.2147,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.7808052053680358,
343
+ "grad_norm": 0.25096556544303894,
344
+ "learning_rate": 1.4807588075880761e-05,
345
+ "loss": 2.2572,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.7970719804798698,
350
+ "grad_norm": 0.3719277083873749,
351
+ "learning_rate": 1.4699186991869921e-05,
352
+ "loss": 2.1964,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.813338755591704,
357
+ "grad_norm": 0.3131086528301239,
358
+ "learning_rate": 1.459078590785908e-05,
359
+ "loss": 2.2893,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.829605530703538,
364
+ "grad_norm": 0.31521037220954895,
365
+ "learning_rate": 1.448238482384824e-05,
366
+ "loss": 2.2498,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.8458723058153721,
371
+ "grad_norm": 0.3911826014518738,
372
+ "learning_rate": 1.43739837398374e-05,
373
+ "loss": 2.2444,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.8621390809272061,
378
+ "grad_norm": 0.27660906314849854,
379
+ "learning_rate": 1.4265582655826559e-05,
380
+ "loss": 2.2571,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.8784058560390403,
385
+ "grad_norm": 0.5232799053192139,
386
+ "learning_rate": 1.4157181571815719e-05,
387
+ "loss": 2.2419,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.8946726311508744,
392
+ "grad_norm": 0.3597722053527832,
393
+ "learning_rate": 1.4048780487804879e-05,
394
+ "loss": 2.2426,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.9109394062627084,
399
+ "grad_norm": 0.3321545422077179,
400
+ "learning_rate": 1.394037940379404e-05,
401
+ "loss": 2.2136,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.9272061813745425,
406
+ "grad_norm": 0.4088381826877594,
407
+ "learning_rate": 1.3831978319783199e-05,
408
+ "loss": 2.1917,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.9434729564863765,
413
+ "grad_norm": 0.4453414976596832,
414
+ "learning_rate": 1.3723577235772358e-05,
415
+ "loss": 2.2404,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.9597397315982107,
420
+ "grad_norm": 0.33261504769325256,
421
+ "learning_rate": 1.3615176151761518e-05,
422
+ "loss": 2.2778,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.9760065067100447,
427
+ "grad_norm": 0.3876469135284424,
428
+ "learning_rate": 1.350677506775068e-05,
429
+ "loss": 2.1898,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.9922732818218788,
434
+ "grad_norm": 0.33917632699012756,
435
+ "learning_rate": 1.3398373983739838e-05,
436
+ "loss": 2.2822,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 1.008133387555917,
441
+ "grad_norm": 0.33381298184394836,
442
+ "learning_rate": 1.3289972899728998e-05,
443
+ "loss": 2.2269,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 1.024400162667751,
448
+ "grad_norm": 0.284834623336792,
449
+ "learning_rate": 1.318157181571816e-05,
450
+ "loss": 2.2241,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 1.0406669377795852,
455
+ "grad_norm": 0.4045396149158478,
456
+ "learning_rate": 1.307317073170732e-05,
457
+ "loss": 2.2347,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 1.0569337128914194,
462
+ "grad_norm": 0.543749213218689,
463
+ "learning_rate": 1.2964769647696478e-05,
464
+ "loss": 2.1799,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 1.0732004880032533,
469
+ "grad_norm": 0.34489476680755615,
470
+ "learning_rate": 1.2856368563685637e-05,
471
+ "loss": 2.24,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 1.0894672631150875,
476
+ "grad_norm": 0.4727187752723694,
477
+ "learning_rate": 1.2747967479674799e-05,
478
+ "loss": 2.2818,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 1.1057340382269216,
483
+ "grad_norm": 0.41018274426460266,
484
+ "learning_rate": 1.2639566395663959e-05,
485
+ "loss": 2.1991,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 1.1220008133387556,
490
+ "grad_norm": 0.3846307098865509,
491
+ "learning_rate": 1.2531165311653117e-05,
492
+ "loss": 2.1835,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 1.1382675884505897,
497
+ "grad_norm": 0.45072686672210693,
498
+ "learning_rate": 1.2422764227642277e-05,
499
+ "loss": 2.2661,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 1.1545343635624237,
504
+ "grad_norm": 0.4832310676574707,
505
+ "learning_rate": 1.2314363143631439e-05,
506
+ "loss": 2.216,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 1.1708011386742578,
511
+ "grad_norm": 0.5275405049324036,
512
+ "learning_rate": 1.2205962059620597e-05,
513
+ "loss": 2.208,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 1.187067913786092,
518
+ "grad_norm": 0.3692767322063446,
519
+ "learning_rate": 1.2097560975609757e-05,
520
+ "loss": 2.289,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 1.203334688897926,
525
+ "grad_norm": 0.29335182905197144,
526
+ "learning_rate": 1.1989159891598916e-05,
527
+ "loss": 2.1959,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 1.21960146400976,
532
+ "grad_norm": 0.49091747403144836,
533
+ "learning_rate": 1.1880758807588078e-05,
534
+ "loss": 2.1451,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 1.235868239121594,
539
+ "grad_norm": 0.3522561490535736,
540
+ "learning_rate": 1.1772357723577236e-05,
541
+ "loss": 2.248,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 1.2521350142334282,
546
+ "grad_norm": 0.41444632411003113,
547
+ "learning_rate": 1.1663956639566396e-05,
548
+ "loss": 2.1832,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 1.2684017893452624,
553
+ "grad_norm": 0.4403276741504669,
554
+ "learning_rate": 1.1555555555555556e-05,
555
+ "loss": 2.1923,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 1.2846685644570963,
560
+ "grad_norm": 0.4993409514427185,
561
+ "learning_rate": 1.1447154471544718e-05,
562
+ "loss": 2.1518,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 1.3009353395689305,
567
+ "grad_norm": 0.3903736174106598,
568
+ "learning_rate": 1.1338753387533876e-05,
569
+ "loss": 2.19,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 1.3172021146807644,
574
+ "grad_norm": 0.31108370423316956,
575
+ "learning_rate": 1.1230352303523036e-05,
576
+ "loss": 2.1852,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 1.3334688897925986,
581
+ "grad_norm": 0.3845357894897461,
582
+ "learning_rate": 1.1121951219512197e-05,
583
+ "loss": 2.1589,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 1.3497356649044328,
588
+ "grad_norm": 0.4706804156303406,
589
+ "learning_rate": 1.1013550135501357e-05,
590
+ "loss": 2.1925,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 1.3660024400162667,
595
+ "grad_norm": 0.33979251980781555,
596
+ "learning_rate": 1.0905149051490515e-05,
597
+ "loss": 2.2165,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 1.3822692151281009,
602
+ "grad_norm": 0.6070290803909302,
603
+ "learning_rate": 1.0796747967479675e-05,
604
+ "loss": 2.2304,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 1.3985359902399348,
609
+ "grad_norm": 0.3914659321308136,
610
+ "learning_rate": 1.0688346883468837e-05,
611
+ "loss": 2.1945,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 1.414802765351769,
616
+ "grad_norm": 0.38425302505493164,
617
+ "learning_rate": 1.0579945799457995e-05,
618
+ "loss": 2.1799,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 1.4310695404636031,
623
+ "grad_norm": 0.3691774904727936,
624
+ "learning_rate": 1.0471544715447155e-05,
625
+ "loss": 2.1812,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 1.4473363155754373,
630
+ "grad_norm": 0.4350150525569916,
631
+ "learning_rate": 1.0363143631436315e-05,
632
+ "loss": 2.2151,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 1.4636030906872712,
637
+ "grad_norm": 0.37822458148002625,
638
+ "learning_rate": 1.0254742547425476e-05,
639
+ "loss": 2.2839,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 1.4798698657991054,
644
+ "grad_norm": 0.4036807715892792,
645
+ "learning_rate": 1.0146341463414634e-05,
646
+ "loss": 2.2456,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 1.4961366409109393,
651
+ "grad_norm": 0.3395715653896332,
652
+ "learning_rate": 1.0037940379403794e-05,
653
+ "loss": 2.2455,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 1.5124034160227735,
658
+ "grad_norm": 0.8333190679550171,
659
+ "learning_rate": 9.929539295392954e-06,
660
+ "loss": 2.215,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 1.5286701911346077,
665
+ "grad_norm": 0.47911304235458374,
666
+ "learning_rate": 9.821138211382114e-06,
667
+ "loss": 2.2095,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 1.5449369662464416,
672
+ "grad_norm": 0.421014666557312,
673
+ "learning_rate": 9.712737127371274e-06,
674
+ "loss": 2.2236,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 1.5612037413582758,
679
+ "grad_norm": 0.48267999291419983,
680
+ "learning_rate": 9.604336043360435e-06,
681
+ "loss": 2.2163,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 1.5774705164701097,
686
+ "grad_norm": 0.39987218379974365,
687
+ "learning_rate": 9.495934959349594e-06,
688
+ "loss": 2.1863,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 1.5937372915819439,
693
+ "grad_norm": 0.6446450352668762,
694
+ "learning_rate": 9.387533875338755e-06,
695
+ "loss": 2.1801,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 1.610004066693778,
700
+ "grad_norm": 0.4291459321975708,
701
+ "learning_rate": 9.279132791327913e-06,
702
+ "loss": 2.2346,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 1.626270841805612,
707
+ "grad_norm": 0.5329392552375793,
708
+ "learning_rate": 9.170731707317075e-06,
709
+ "loss": 2.1606,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 1.6425376169174462,
714
+ "grad_norm": 0.6420161128044128,
715
+ "learning_rate": 9.062330623306233e-06,
716
+ "loss": 2.1936,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 1.65880439202928,
721
+ "grad_norm": 0.5436628460884094,
722
+ "learning_rate": 8.953929539295395e-06,
723
+ "loss": 2.182,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 1.6750711671411143,
728
+ "grad_norm": 0.3877139985561371,
729
+ "learning_rate": 8.845528455284553e-06,
730
+ "loss": 2.2317,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 1.6913379422529484,
735
+ "grad_norm": 0.5903089046478271,
736
+ "learning_rate": 8.737127371273714e-06,
737
+ "loss": 2.2121,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 1.7076047173647826,
742
+ "grad_norm": 0.4182610511779785,
743
+ "learning_rate": 8.628726287262873e-06,
744
+ "loss": 2.1664,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 1.7238714924766165,
749
+ "grad_norm": 0.701687216758728,
750
+ "learning_rate": 8.520325203252033e-06,
751
+ "loss": 2.1705,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 1.7401382675884505,
756
+ "grad_norm": 0.6748879551887512,
757
+ "learning_rate": 8.411924119241192e-06,
758
+ "loss": 2.209,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 1.7564050427002846,
763
+ "grad_norm": 0.49491748213768005,
764
+ "learning_rate": 8.303523035230352e-06,
765
+ "loss": 2.1947,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 1.7726718178121188,
770
+ "grad_norm": 0.4370752274990082,
771
+ "learning_rate": 8.195121951219512e-06,
772
+ "loss": 2.1833,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 1.788938592923953,
777
+ "grad_norm": 0.3895672559738159,
778
+ "learning_rate": 8.086720867208672e-06,
779
+ "loss": 2.2577,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 1.805205368035787,
784
+ "grad_norm": 0.3882943093776703,
785
+ "learning_rate": 7.978319783197834e-06,
786
+ "loss": 2.1802,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 1.8214721431476208,
791
+ "grad_norm": 0.4686112403869629,
792
+ "learning_rate": 7.869918699186992e-06,
793
+ "loss": 2.1258,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 1.837738918259455,
798
+ "grad_norm": 0.5097848773002625,
799
+ "learning_rate": 7.761517615176153e-06,
800
+ "loss": 2.212,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 1.8540056933712892,
805
+ "grad_norm": 0.49870142340660095,
806
+ "learning_rate": 7.653116531165312e-06,
807
+ "loss": 2.2587,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 1.8702724684831233,
812
+ "grad_norm": 0.612582266330719,
813
+ "learning_rate": 7.544715447154472e-06,
814
+ "loss": 2.1571,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 1.8865392435949573,
819
+ "grad_norm": 0.5550523400306702,
820
+ "learning_rate": 7.436314363143632e-06,
821
+ "loss": 2.1993,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 1.9028060187067912,
826
+ "grad_norm": 0.921201229095459,
827
+ "learning_rate": 7.327913279132792e-06,
828
+ "loss": 2.1619,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 1.9190727938186254,
833
+ "grad_norm": 0.5052744746208191,
834
+ "learning_rate": 7.219512195121952e-06,
835
+ "loss": 2.1743,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 1.9353395689304596,
840
+ "grad_norm": 0.6115371584892273,
841
+ "learning_rate": 7.111111111111112e-06,
842
+ "loss": 2.1839,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 1.9516063440422937,
847
+ "grad_norm": 0.5317726731300354,
848
+ "learning_rate": 7.002710027100271e-06,
849
+ "loss": 2.1704,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 1.9678731191541277,
854
+ "grad_norm": 0.4624195694923401,
855
+ "learning_rate": 6.894308943089432e-06,
856
+ "loss": 2.2127,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 1.9841398942659618,
861
+ "grad_norm": 0.50515216588974,
862
+ "learning_rate": 6.785907859078591e-06,
863
+ "loss": 2.1522,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 2.0,
868
+ "grad_norm": 0.6244822144508362,
869
+ "learning_rate": 6.677506775067751e-06,
870
+ "loss": 2.1697,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 2.016266775111834,
875
+ "grad_norm": 0.5226220488548279,
876
+ "learning_rate": 6.56910569105691e-06,
877
+ "loss": 2.2529,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 2.0325335502236683,
882
+ "grad_norm": 0.4408818483352661,
883
+ "learning_rate": 6.460704607046071e-06,
884
+ "loss": 2.1999,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 2.048800325335502,
889
+ "grad_norm": 0.7718443870544434,
890
+ "learning_rate": 6.35230352303523e-06,
891
+ "loss": 2.2005,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 2.065067100447336,
896
+ "grad_norm": 0.6275615692138672,
897
+ "learning_rate": 6.243902439024391e-06,
898
+ "loss": 2.2281,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 2.0813338755591704,
903
+ "grad_norm": 0.6543229222297668,
904
+ "learning_rate": 6.1355013550135516e-06,
905
+ "loss": 2.1983,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 2.0976006506710045,
910
+ "grad_norm": 0.7339210510253906,
911
+ "learning_rate": 6.027100271002711e-06,
912
+ "loss": 2.1846,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 2.1138674257828387,
917
+ "grad_norm": 0.5071961879730225,
918
+ "learning_rate": 5.9186991869918705e-06,
919
+ "loss": 2.2138,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 2.1301342008946724,
924
+ "grad_norm": 0.45426690578460693,
925
+ "learning_rate": 5.81029810298103e-06,
926
+ "loss": 2.1002,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 2.1464009760065066,
931
+ "grad_norm": 0.47942936420440674,
932
+ "learning_rate": 5.70189701897019e-06,
933
+ "loss": 2.1142,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 2.1626677511183408,
938
+ "grad_norm": 0.44700875878334045,
939
+ "learning_rate": 5.59349593495935e-06,
940
+ "loss": 2.1702,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 2.178934526230175,
945
+ "grad_norm": 0.7139628529548645,
946
+ "learning_rate": 5.48509485094851e-06,
947
+ "loss": 2.1564,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 2.195201301342009,
952
+ "grad_norm": 0.657394289970398,
953
+ "learning_rate": 5.37669376693767e-06,
954
+ "loss": 2.1804,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 2.2114680764538432,
959
+ "grad_norm": 0.4319300651550293,
960
+ "learning_rate": 5.26829268292683e-06,
961
+ "loss": 2.195,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 2.227734851565677,
966
+ "grad_norm": 0.71416175365448,
967
+ "learning_rate": 5.15989159891599e-06,
968
+ "loss": 2.1752,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 2.244001626677511,
973
+ "grad_norm": 0.5899174213409424,
974
+ "learning_rate": 5.0514905149051495e-06,
975
+ "loss": 2.1484,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 2.2602684017893453,
980
+ "grad_norm": 0.5278040766716003,
981
+ "learning_rate": 4.943089430894309e-06,
982
+ "loss": 2.1897,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 2.2765351769011795,
987
+ "grad_norm": 0.7354372143745422,
988
+ "learning_rate": 4.834688346883469e-06,
989
+ "loss": 2.1969,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 2.292801952013013,
994
+ "grad_norm": 0.5477260947227478,
995
+ "learning_rate": 4.726287262872629e-06,
996
+ "loss": 2.2058,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 2.3090687271248473,
1001
+ "grad_norm": 0.5498638153076172,
1002
+ "learning_rate": 4.617886178861789e-06,
1003
+ "loss": 2.1328,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 2.3253355022366815,
1008
+ "grad_norm": 0.6466209292411804,
1009
+ "learning_rate": 4.509485094850949e-06,
1010
+ "loss": 2.1908,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 2.3416022773485157,
1015
+ "grad_norm": 0.6899780631065369,
1016
+ "learning_rate": 4.401084010840109e-06,
1017
+ "loss": 2.1283,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 2.35786905246035,
1022
+ "grad_norm": 0.6455110907554626,
1023
+ "learning_rate": 4.292682926829269e-06,
1024
+ "loss": 2.2166,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 2.374135827572184,
1029
+ "grad_norm": 0.4662465751171112,
1030
+ "learning_rate": 4.1842818428184285e-06,
1031
+ "loss": 2.0987,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 2.3904026026840177,
1036
+ "grad_norm": 0.5388475656509399,
1037
+ "learning_rate": 4.075880758807588e-06,
1038
+ "loss": 2.1783,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 2.406669377795852,
1043
+ "grad_norm": 0.5845710039138794,
1044
+ "learning_rate": 3.967479674796748e-06,
1045
+ "loss": 2.1145,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 2.422936152907686,
1050
+ "grad_norm": 0.4962908923625946,
1051
+ "learning_rate": 3.859078590785908e-06,
1052
+ "loss": 2.1879,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 2.43920292801952,
1057
+ "grad_norm": 0.7771344780921936,
1058
+ "learning_rate": 3.7506775067750676e-06,
1059
+ "loss": 2.1892,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 2.4554697031313544,
1064
+ "grad_norm": 0.6176280975341797,
1065
+ "learning_rate": 3.6422764227642283e-06,
1066
+ "loss": 2.2419,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 2.471736478243188,
1071
+ "grad_norm": 0.4214126467704773,
1072
+ "learning_rate": 3.5338753387533882e-06,
1073
+ "loss": 2.1975,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 2.4880032533550223,
1078
+ "grad_norm": 0.57136470079422,
1079
+ "learning_rate": 3.425474254742548e-06,
1080
+ "loss": 2.2209,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 2.5042700284668564,
1085
+ "grad_norm": 0.5058287978172302,
1086
+ "learning_rate": 3.3170731707317076e-06,
1087
+ "loss": 2.126,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 2.5205368035786906,
1092
+ "grad_norm": 0.5051369667053223,
1093
+ "learning_rate": 3.2086720867208674e-06,
1094
+ "loss": 2.138,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 2.5368035786905248,
1099
+ "grad_norm": 0.5508773922920227,
1100
+ "learning_rate": 3.1002710027100273e-06,
1101
+ "loss": 2.2178,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 2.553070353802359,
1106
+ "grad_norm": 0.402597039937973,
1107
+ "learning_rate": 2.991869918699187e-06,
1108
+ "loss": 2.1865,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 2.5693371289141926,
1113
+ "grad_norm": 0.48877769708633423,
1114
+ "learning_rate": 2.883468834688347e-06,
1115
+ "loss": 2.1334,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 2.585603904026027,
1120
+ "grad_norm": 0.5393285751342773,
1121
+ "learning_rate": 2.775067750677507e-06,
1122
+ "loss": 2.1944,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 2.601870679137861,
1127
+ "grad_norm": 0.5359148979187012,
1128
+ "learning_rate": 2.666666666666667e-06,
1129
+ "loss": 2.1265,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 2.618137454249695,
1134
+ "grad_norm": 0.44901204109191895,
1135
+ "learning_rate": 2.5582655826558267e-06,
1136
+ "loss": 2.1863,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 2.634404229361529,
1141
+ "grad_norm": 0.621069610118866,
1142
+ "learning_rate": 2.4498644986449866e-06,
1143
+ "loss": 2.1268,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 2.650671004473363,
1148
+ "grad_norm": 0.7652748823165894,
1149
+ "learning_rate": 2.3414634146341465e-06,
1150
+ "loss": 2.1838,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 2.666937779585197,
1155
+ "grad_norm": 0.49381202459335327,
1156
+ "learning_rate": 2.2330623306233063e-06,
1157
+ "loss": 2.1923,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 2.6832045546970313,
1162
+ "grad_norm": 0.47194594144821167,
1163
+ "learning_rate": 2.1246612466124662e-06,
1164
+ "loss": 2.2004,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 2.6994713298088655,
1169
+ "grad_norm": 0.5487152934074402,
1170
+ "learning_rate": 2.016260162601626e-06,
1171
+ "loss": 2.2393,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 2.7157381049206997,
1176
+ "grad_norm": 0.6591639518737793,
1177
+ "learning_rate": 1.907859078590786e-06,
1178
+ "loss": 2.1216,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 2.7320048800325334,
1183
+ "grad_norm": 0.4983465075492859,
1184
+ "learning_rate": 1.7994579945799459e-06,
1185
+ "loss": 2.1119,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 2.7482716551443676,
1190
+ "grad_norm": 0.7329484820365906,
1191
+ "learning_rate": 1.6910569105691057e-06,
1192
+ "loss": 2.1102,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 2.7645384302562017,
1197
+ "grad_norm": 0.93742436170578,
1198
+ "learning_rate": 1.5826558265582656e-06,
1199
+ "loss": 2.2423,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 2.780805205368036,
1204
+ "grad_norm": 0.6207740306854248,
1205
+ "learning_rate": 1.4742547425474257e-06,
1206
+ "loss": 2.1586,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 2.7970719804798696,
1211
+ "grad_norm": 0.41883742809295654,
1212
+ "learning_rate": 1.3658536585365856e-06,
1213
+ "loss": 2.189,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 2.8133387555917038,
1218
+ "grad_norm": 0.7352700233459473,
1219
+ "learning_rate": 1.2574525745257455e-06,
1220
+ "loss": 2.1331,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 2.829605530703538,
1225
+ "grad_norm": 0.6216088533401489,
1226
+ "learning_rate": 1.1490514905149053e-06,
1227
+ "loss": 2.1928,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 2.845872305815372,
1232
+ "grad_norm": 0.694766104221344,
1233
+ "learning_rate": 1.0406504065040652e-06,
1234
+ "loss": 2.1648,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 2.8621390809272063,
1239
+ "grad_norm": 0.8991151452064514,
1240
+ "learning_rate": 9.32249322493225e-07,
1241
+ "loss": 2.1362,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 2.8784058560390404,
1246
+ "grad_norm": 1.1037092208862305,
1247
+ "learning_rate": 8.23848238482385e-07,
1248
+ "loss": 2.1617,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 2.8946726311508746,
1253
+ "grad_norm": 0.5003814697265625,
1254
+ "learning_rate": 7.154471544715448e-07,
1255
+ "loss": 2.2079,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 2.9109394062627083,
1260
+ "grad_norm": 0.5789722204208374,
1261
+ "learning_rate": 6.070460704607046e-07,
1262
+ "loss": 2.1699,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 2.9272061813745425,
1267
+ "grad_norm": 0.7220056653022766,
1268
+ "learning_rate": 4.986449864498646e-07,
1269
+ "loss": 2.1337,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 2.9434729564863766,
1274
+ "grad_norm": 0.6918893456459045,
1275
+ "learning_rate": 3.9024390243902443e-07,
1276
+ "loss": 2.1949,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 2.959739731598211,
1281
+ "grad_norm": 0.7044161558151245,
1282
+ "learning_rate": 2.818428184281843e-07,
1283
+ "loss": 2.1213,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 2.9760065067100445,
1288
+ "grad_norm": 0.7030537128448486,
1289
+ "learning_rate": 1.7344173441734418e-07,
1290
+ "loss": 2.178,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 2.9922732818218787,
1295
+ "grad_norm": 0.5555047392845154,
1296
+ "learning_rate": 6.504065040650408e-08,
1297
+ "loss": 2.198,
1298
+ "step": 1840
1299
+ }
1300
+ ],
1301
+ "logging_steps": 10,
1302
+ "max_steps": 1845,
1303
+ "num_input_tokens_seen": 0,
1304
+ "num_train_epochs": 3,
1305
+ "save_steps": 500,
1306
+ "stateful_callbacks": {
1307
+ "TrainerControl": {
1308
+ "args": {
1309
+ "should_epoch_stop": false,
1310
+ "should_evaluate": false,
1311
+ "should_log": false,
1312
+ "should_save": true,
1313
+ "should_training_stop": true
1314
+ },
1315
+ "attributes": {}
1316
+ }
1317
+ },
1318
+ "total_flos": 5.91408129848574e+17,
1319
+ "train_batch_size": 1,
1320
+ "trial_name": null,
1321
+ "trial_params": null
1322
+ }
checkpoint-1845/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:018cc1d55d2ff18e3ef653458af0905c473e4c15684121019fe78e8b522e3247
3
+ size 5713
tokenizer.json CHANGED
@@ -2,13 +2,13 @@
2
  "version": "1.0",
3
  "truncation": {
4
  "direction": "Right",
5
- "max_length": 512,
6
  "strategy": "LongestFirst",
7
  "stride": 0
8
  },
9
  "padding": {
10
  "strategy": {
11
- "Fixed": 512
12
  },
13
  "direction": "Left",
14
  "pad_to_multiple_of": null,
 
2
  "version": "1.0",
3
  "truncation": {
4
  "direction": "Right",
5
+ "max_length": 1028,
6
  "strategy": "LongestFirst",
7
  "stride": 0
8
  },
9
  "padding": {
10
  "strategy": {
11
+ "Fixed": 1028
12
  },
13
  "direction": "Left",
14
  "pad_to_multiple_of": null,
tokenizer_config.json CHANGED
@@ -129,17 +129,10 @@
129
  "eos_token": "<|end▁of▁sentence|>",
130
  "extra_special_tokens": {},
131
  "legacy": true,
132
- "max_length": 1028,
133
  "model_max_length": 4096,
134
- "pad_to_multiple_of": null,
135
  "pad_token": "<|end▁of▁sentence|>",
136
- "pad_token_type_id": 0,
137
- "padding_side": "left",
138
  "sp_model_kwargs": {},
139
- "stride": 0,
140
  "tokenizer_class": "LlamaTokenizerFast",
141
- "truncation_side": "right",
142
- "truncation_strategy": "longest_first",
143
  "unk_token": null,
144
  "use_default_system_prompt": false
145
  }
 
129
  "eos_token": "<|end▁of▁sentence|>",
130
  "extra_special_tokens": {},
131
  "legacy": true,
 
132
  "model_max_length": 4096,
 
133
  "pad_token": "<|end▁of▁sentence|>",
 
 
134
  "sp_model_kwargs": {},
 
135
  "tokenizer_class": "LlamaTokenizerFast",
 
 
136
  "unk_token": null,
137
  "use_default_system_prompt": false
138
  }