evayzh commited on
Commit
6c48917
·
verified ·
1 Parent(s): 9579c10

Training in progress, epoch 2, checkpoint

Browse files
checkpoint-363/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: NousResearch/Llama-2-7b-hf
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.11.1
checkpoint-363/adapter_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "NousResearch/Llama-2-7b-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": [
18
+ "embed_tokens",
19
+ "lm_head"
20
+ ],
21
+ "peft_type": "LORA",
22
+ "r": 32,
23
+ "rank_pattern": {},
24
+ "revision": null,
25
+ "target_modules": [
26
+ "q_proj",
27
+ "up_proj",
28
+ "o_proj",
29
+ "down_proj",
30
+ "gate_proj",
31
+ "k_proj",
32
+ "v_proj"
33
+ ],
34
+ "task_type": "CAUSAL_LM",
35
+ "use_dora": false,
36
+ "use_rslora": false
37
+ }
checkpoint-363/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c14c739e99cda1cb887844f4670cb6fb9b40fc5842cad300609f304c0c1262fd
3
+ size 1892839096
checkpoint-363/added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "[/INST]": 32001,
3
+ "[INST]": 32000
4
+ }
checkpoint-363/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c63d34ac2c57ad38d03f48209794da0730ba6f3dd10dc623bddaed2215a7a62a
3
+ size 686083612
checkpoint-363/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91eacfb251a5cb0f6676f9ad63e2177c620ed0ae6166eebbf1f92beed9de4710
3
+ size 14244
checkpoint-363/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:03b66f79cab0e63cf08301118e3f23fa5306f8f40fe9d921423b026a74a621ef
3
+ size 1064
checkpoint-363/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<unk>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
checkpoint-363/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-363/tokenizer_config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "32000": {
31
+ "content": "[INST]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": false
37
+ },
38
+ "32001": {
39
+ "content": "[/INST]",
40
+ "lstrip": false,
41
+ "normalized": false,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": false
45
+ }
46
+ },
47
+ "bos_token": "<s>",
48
+ "clean_up_tokenization_spaces": false,
49
+ "eos_token": "</s>",
50
+ "legacy": false,
51
+ "model_max_length": 1000000000000000019884624838656,
52
+ "pad_token": "<unk>",
53
+ "sp_model_kwargs": {},
54
+ "spaces_between_special_tokens": false,
55
+ "tokenizer_class": "LlamaTokenizer",
56
+ "unk_token": "<unk>",
57
+ "use_default_system_prompt": false,
58
+ "use_fast": true
59
+ }
checkpoint-363/trainer_state.json ADDED
@@ -0,0 +1,2622 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.97319587628866,
5
+ "eval_steps": 61,
6
+ "global_step": 363,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.008247422680412371,
13
+ "grad_norm": 2.2737574577331543,
14
+ "learning_rate": 2e-05,
15
+ "loss": 1.0155,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.008247422680412371,
20
+ "eval_loss": 1.2302311658859253,
21
+ "eval_runtime": 295.4772,
22
+ "eval_samples_per_second": 2.031,
23
+ "eval_steps_per_second": 1.015,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.016494845360824743,
28
+ "grad_norm": 2.203125476837158,
29
+ "learning_rate": 4e-05,
30
+ "loss": 1.1137,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.024742268041237112,
35
+ "grad_norm": 1.7233558893203735,
36
+ "learning_rate": 6e-05,
37
+ "loss": 0.9453,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.032989690721649485,
42
+ "grad_norm": 2.38301420211792,
43
+ "learning_rate": 8e-05,
44
+ "loss": 1.1091,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.041237113402061855,
49
+ "grad_norm": 1.6754157543182373,
50
+ "learning_rate": 0.0001,
51
+ "loss": 0.9209,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.049484536082474224,
56
+ "grad_norm": 1.6663925647735596,
57
+ "learning_rate": 0.00012,
58
+ "loss": 0.9145,
59
+ "step": 6
60
+ },
61
+ {
62
+ "epoch": 0.0577319587628866,
63
+ "grad_norm": 1.6516679525375366,
64
+ "learning_rate": 0.00014,
65
+ "loss": 0.8456,
66
+ "step": 7
67
+ },
68
+ {
69
+ "epoch": 0.06597938144329897,
70
+ "grad_norm": 1.4858132600784302,
71
+ "learning_rate": 0.00016,
72
+ "loss": 0.8257,
73
+ "step": 8
74
+ },
75
+ {
76
+ "epoch": 0.07422680412371134,
77
+ "grad_norm": 1.2829698324203491,
78
+ "learning_rate": 0.00018,
79
+ "loss": 0.7396,
80
+ "step": 9
81
+ },
82
+ {
83
+ "epoch": 0.08247422680412371,
84
+ "grad_norm": 0.8841626644134521,
85
+ "learning_rate": 0.0002,
86
+ "loss": 0.6599,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.09072164948453608,
91
+ "grad_norm": 0.6680086255073547,
92
+ "learning_rate": 0.0001999960397967811,
93
+ "loss": 0.6368,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.09896907216494845,
98
+ "grad_norm": 0.9510122537612915,
99
+ "learning_rate": 0.00019998415950078858,
100
+ "loss": 0.7061,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.10721649484536082,
105
+ "grad_norm": 0.8464949131011963,
106
+ "learning_rate": 0.00019996436005299012,
107
+ "loss": 0.6674,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.1154639175257732,
112
+ "grad_norm": 0.8255585432052612,
113
+ "learning_rate": 0.00019993664302158255,
114
+ "loss": 0.6971,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.12371134020618557,
119
+ "grad_norm": 0.7613081932067871,
120
+ "learning_rate": 0.00019990101060186733,
121
+ "loss": 0.6621,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.13195876288659794,
126
+ "grad_norm": 0.6413361430168152,
127
+ "learning_rate": 0.00019985746561607698,
128
+ "loss": 0.6336,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.1402061855670103,
133
+ "grad_norm": 0.7216547727584839,
134
+ "learning_rate": 0.0001998060115131513,
135
+ "loss": 0.7165,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.14845360824742268,
140
+ "grad_norm": 0.7801871299743652,
141
+ "learning_rate": 0.00019974665236846442,
142
+ "loss": 0.7449,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.15670103092783505,
147
+ "grad_norm": 0.6427637338638306,
148
+ "learning_rate": 0.00019967939288350182,
149
+ "loss": 0.6344,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.16494845360824742,
154
+ "grad_norm": 0.6753759980201721,
155
+ "learning_rate": 0.00019960423838548814,
156
+ "loss": 0.735,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.1731958762886598,
161
+ "grad_norm": 0.6213053464889526,
162
+ "learning_rate": 0.00019952119482696503,
163
+ "loss": 0.6675,
164
+ "step": 21
165
+ },
166
+ {
167
+ "epoch": 0.18144329896907216,
168
+ "grad_norm": 0.6505969762802124,
169
+ "learning_rate": 0.00019943026878531983,
170
+ "loss": 0.6129,
171
+ "step": 22
172
+ },
173
+ {
174
+ "epoch": 0.18969072164948453,
175
+ "grad_norm": 0.6324624419212341,
176
+ "learning_rate": 0.0001993314674622646,
177
+ "loss": 0.6289,
178
+ "step": 23
179
+ },
180
+ {
181
+ "epoch": 0.1979381443298969,
182
+ "grad_norm": 0.6155864000320435,
183
+ "learning_rate": 0.00019922479868326578,
184
+ "loss": 0.6358,
185
+ "step": 24
186
+ },
187
+ {
188
+ "epoch": 0.20618556701030927,
189
+ "grad_norm": 0.6395933628082275,
190
+ "learning_rate": 0.0001991102708969241,
191
+ "loss": 0.6225,
192
+ "step": 25
193
+ },
194
+ {
195
+ "epoch": 0.21443298969072164,
196
+ "grad_norm": 0.5889492034912109,
197
+ "learning_rate": 0.00019898789317430575,
198
+ "loss": 0.6674,
199
+ "step": 26
200
+ },
201
+ {
202
+ "epoch": 0.22268041237113403,
203
+ "grad_norm": 0.5262942910194397,
204
+ "learning_rate": 0.00019885767520822376,
205
+ "loss": 0.6077,
206
+ "step": 27
207
+ },
208
+ {
209
+ "epoch": 0.2309278350515464,
210
+ "grad_norm": 0.5878570675849915,
211
+ "learning_rate": 0.0001987196273124703,
212
+ "loss": 0.6145,
213
+ "step": 28
214
+ },
215
+ {
216
+ "epoch": 0.23917525773195877,
217
+ "grad_norm": 0.5845457315444946,
218
+ "learning_rate": 0.00019857376042099983,
219
+ "loss": 0.6435,
220
+ "step": 29
221
+ },
222
+ {
223
+ "epoch": 0.24742268041237114,
224
+ "grad_norm": 0.6508314609527588,
225
+ "learning_rate": 0.00019842008608706295,
226
+ "loss": 0.6799,
227
+ "step": 30
228
+ },
229
+ {
230
+ "epoch": 0.2556701030927835,
231
+ "grad_norm": 0.5770230293273926,
232
+ "learning_rate": 0.00019825861648229152,
233
+ "loss": 0.6092,
234
+ "step": 31
235
+ },
236
+ {
237
+ "epoch": 0.2639175257731959,
238
+ "grad_norm": 0.5438909530639648,
239
+ "learning_rate": 0.00019808936439573454,
240
+ "loss": 0.5952,
241
+ "step": 32
242
+ },
243
+ {
244
+ "epoch": 0.2721649484536082,
245
+ "grad_norm": 0.5276155471801758,
246
+ "learning_rate": 0.00019791234323284513,
247
+ "loss": 0.5899,
248
+ "step": 33
249
+ },
250
+ {
251
+ "epoch": 0.2804123711340206,
252
+ "grad_norm": 0.6430350542068481,
253
+ "learning_rate": 0.00019772756701441887,
254
+ "loss": 0.6581,
255
+ "step": 34
256
+ },
257
+ {
258
+ "epoch": 0.28865979381443296,
259
+ "grad_norm": 0.6087874174118042,
260
+ "learning_rate": 0.0001975350503754833,
261
+ "loss": 0.654,
262
+ "step": 35
263
+ },
264
+ {
265
+ "epoch": 0.29690721649484536,
266
+ "grad_norm": 0.610534131526947,
267
+ "learning_rate": 0.00019733480856413868,
268
+ "loss": 0.6655,
269
+ "step": 36
270
+ },
271
+ {
272
+ "epoch": 0.30515463917525776,
273
+ "grad_norm": 0.5277837514877319,
274
+ "learning_rate": 0.0001971268574403503,
275
+ "loss": 0.6228,
276
+ "step": 37
277
+ },
278
+ {
279
+ "epoch": 0.3134020618556701,
280
+ "grad_norm": 0.6729940176010132,
281
+ "learning_rate": 0.00019691121347469235,
282
+ "loss": 0.8324,
283
+ "step": 38
284
+ },
285
+ {
286
+ "epoch": 0.3216494845360825,
287
+ "grad_norm": 0.541552722454071,
288
+ "learning_rate": 0.00019668789374704338,
289
+ "loss": 0.54,
290
+ "step": 39
291
+ },
292
+ {
293
+ "epoch": 0.32989690721649484,
294
+ "grad_norm": 0.5642793774604797,
295
+ "learning_rate": 0.0001964569159452335,
296
+ "loss": 0.641,
297
+ "step": 40
298
+ },
299
+ {
300
+ "epoch": 0.33814432989690724,
301
+ "grad_norm": 0.5639921426773071,
302
+ "learning_rate": 0.00019621829836364337,
303
+ "loss": 0.6042,
304
+ "step": 41
305
+ },
306
+ {
307
+ "epoch": 0.3463917525773196,
308
+ "grad_norm": 0.566059410572052,
309
+ "learning_rate": 0.00019597205990175525,
310
+ "loss": 0.6364,
311
+ "step": 42
312
+ },
313
+ {
314
+ "epoch": 0.354639175257732,
315
+ "grad_norm": 0.5911106467247009,
316
+ "learning_rate": 0.00019571822006265622,
317
+ "loss": 0.6777,
318
+ "step": 43
319
+ },
320
+ {
321
+ "epoch": 0.3628865979381443,
322
+ "grad_norm": 0.5940718054771423,
323
+ "learning_rate": 0.00019545679895149315,
324
+ "loss": 0.713,
325
+ "step": 44
326
+ },
327
+ {
328
+ "epoch": 0.3711340206185567,
329
+ "grad_norm": 0.46311718225479126,
330
+ "learning_rate": 0.0001951878172738806,
331
+ "loss": 0.5298,
332
+ "step": 45
333
+ },
334
+ {
335
+ "epoch": 0.37938144329896906,
336
+ "grad_norm": 0.5446880459785461,
337
+ "learning_rate": 0.00019491129633426068,
338
+ "loss": 0.546,
339
+ "step": 46
340
+ },
341
+ {
342
+ "epoch": 0.38762886597938145,
343
+ "grad_norm": 0.6126728653907776,
344
+ "learning_rate": 0.00019462725803421566,
345
+ "loss": 0.5725,
346
+ "step": 47
347
+ },
348
+ {
349
+ "epoch": 0.3958762886597938,
350
+ "grad_norm": 0.49817898869514465,
351
+ "learning_rate": 0.0001943357248707334,
352
+ "loss": 0.6224,
353
+ "step": 48
354
+ },
355
+ {
356
+ "epoch": 0.4041237113402062,
357
+ "grad_norm": 0.4865269362926483,
358
+ "learning_rate": 0.0001940367199344253,
359
+ "loss": 0.544,
360
+ "step": 49
361
+ },
362
+ {
363
+ "epoch": 0.41237113402061853,
364
+ "grad_norm": 0.48718348145484924,
365
+ "learning_rate": 0.00019373026690769763,
366
+ "loss": 0.6132,
367
+ "step": 50
368
+ },
369
+ {
370
+ "epoch": 0.42061855670103093,
371
+ "grad_norm": 0.5080978274345398,
372
+ "learning_rate": 0.0001934163900628756,
373
+ "loss": 0.6278,
374
+ "step": 51
375
+ },
376
+ {
377
+ "epoch": 0.4288659793814433,
378
+ "grad_norm": 0.4930504262447357,
379
+ "learning_rate": 0.00019309511426028104,
380
+ "loss": 0.602,
381
+ "step": 52
382
+ },
383
+ {
384
+ "epoch": 0.43711340206185567,
385
+ "grad_norm": 0.4977351725101471,
386
+ "learning_rate": 0.00019276646494626332,
387
+ "loss": 0.5516,
388
+ "step": 53
389
+ },
390
+ {
391
+ "epoch": 0.44536082474226807,
392
+ "grad_norm": 0.4758591055870056,
393
+ "learning_rate": 0.00019243046815118386,
394
+ "loss": 0.5136,
395
+ "step": 54
396
+ },
397
+ {
398
+ "epoch": 0.4536082474226804,
399
+ "grad_norm": 0.4887770712375641,
400
+ "learning_rate": 0.00019208715048735445,
401
+ "loss": 0.6265,
402
+ "step": 55
403
+ },
404
+ {
405
+ "epoch": 0.4618556701030928,
406
+ "grad_norm": 0.5064010620117188,
407
+ "learning_rate": 0.00019173653914692946,
408
+ "loss": 0.6524,
409
+ "step": 56
410
+ },
411
+ {
412
+ "epoch": 0.47010309278350515,
413
+ "grad_norm": 0.5001596808433533,
414
+ "learning_rate": 0.00019137866189975202,
415
+ "loss": 0.622,
416
+ "step": 57
417
+ },
418
+ {
419
+ "epoch": 0.47835051546391755,
420
+ "grad_norm": 0.4940868616104126,
421
+ "learning_rate": 0.00019101354709115468,
422
+ "loss": 0.6362,
423
+ "step": 58
424
+ },
425
+ {
426
+ "epoch": 0.4865979381443299,
427
+ "grad_norm": 0.4839000701904297,
428
+ "learning_rate": 0.00019064122363971427,
429
+ "loss": 0.6223,
430
+ "step": 59
431
+ },
432
+ {
433
+ "epoch": 0.4948453608247423,
434
+ "grad_norm": 0.4475175440311432,
435
+ "learning_rate": 0.00019026172103496137,
436
+ "loss": 0.5625,
437
+ "step": 60
438
+ },
439
+ {
440
+ "epoch": 0.5030927835051546,
441
+ "grad_norm": 0.4716227352619171,
442
+ "learning_rate": 0.0001898750693350447,
443
+ "loss": 0.5161,
444
+ "step": 61
445
+ },
446
+ {
447
+ "epoch": 0.5030927835051546,
448
+ "eval_loss": 0.5744044780731201,
449
+ "eval_runtime": 296.9417,
450
+ "eval_samples_per_second": 2.021,
451
+ "eval_steps_per_second": 1.01,
452
+ "step": 61
453
+ },
454
+ {
455
+ "epoch": 0.511340206185567,
456
+ "grad_norm": 0.47013187408447266,
457
+ "learning_rate": 0.00018948129916435046,
458
+ "loss": 0.592,
459
+ "step": 62
460
+ },
461
+ {
462
+ "epoch": 0.5195876288659794,
463
+ "grad_norm": 0.44856756925582886,
464
+ "learning_rate": 0.00018908044171107657,
465
+ "loss": 0.5981,
466
+ "step": 63
467
+ },
468
+ {
469
+ "epoch": 0.5278350515463918,
470
+ "grad_norm": 0.4443698525428772,
471
+ "learning_rate": 0.00018867252872476257,
472
+ "loss": 0.6068,
473
+ "step": 64
474
+ },
475
+ {
476
+ "epoch": 0.5360824742268041,
477
+ "grad_norm": 0.423221617937088,
478
+ "learning_rate": 0.00018825759251377483,
479
+ "loss": 0.537,
480
+ "step": 65
481
+ },
482
+ {
483
+ "epoch": 0.5443298969072164,
484
+ "grad_norm": 0.4647126793861389,
485
+ "learning_rate": 0.00018783566594274783,
486
+ "loss": 0.5896,
487
+ "step": 66
488
+ },
489
+ {
490
+ "epoch": 0.5525773195876289,
491
+ "grad_norm": 0.4287152588367462,
492
+ "learning_rate": 0.00018740678242998077,
493
+ "loss": 0.5424,
494
+ "step": 67
495
+ },
496
+ {
497
+ "epoch": 0.5608247422680412,
498
+ "grad_norm": 0.4562716484069824,
499
+ "learning_rate": 0.00018697097594479103,
500
+ "loss": 0.5571,
501
+ "step": 68
502
+ },
503
+ {
504
+ "epoch": 0.5690721649484536,
505
+ "grad_norm": 0.37922483682632446,
506
+ "learning_rate": 0.0001865282810048235,
507
+ "loss": 0.5337,
508
+ "step": 69
509
+ },
510
+ {
511
+ "epoch": 0.5773195876288659,
512
+ "grad_norm": 0.4227437973022461,
513
+ "learning_rate": 0.0001860787326733168,
514
+ "loss": 0.5989,
515
+ "step": 70
516
+ },
517
+ {
518
+ "epoch": 0.5855670103092784,
519
+ "grad_norm": 0.39743122458457947,
520
+ "learning_rate": 0.0001856223665563258,
521
+ "loss": 0.537,
522
+ "step": 71
523
+ },
524
+ {
525
+ "epoch": 0.5938144329896907,
526
+ "grad_norm": 0.41971203684806824,
527
+ "learning_rate": 0.00018515921879990187,
528
+ "loss": 0.5353,
529
+ "step": 72
530
+ },
531
+ {
532
+ "epoch": 0.6020618556701031,
533
+ "grad_norm": 0.4010031819343567,
534
+ "learning_rate": 0.00018468932608722973,
535
+ "loss": 0.5954,
536
+ "step": 73
537
+ },
538
+ {
539
+ "epoch": 0.6103092783505155,
540
+ "grad_norm": 0.469838947057724,
541
+ "learning_rate": 0.000184212725635722,
542
+ "loss": 0.6942,
543
+ "step": 74
544
+ },
545
+ {
546
+ "epoch": 0.6185567010309279,
547
+ "grad_norm": 0.381673663854599,
548
+ "learning_rate": 0.00018372945519407158,
549
+ "loss": 0.557,
550
+ "step": 75
551
+ },
552
+ {
553
+ "epoch": 0.6268041237113402,
554
+ "grad_norm": 0.3736635446548462,
555
+ "learning_rate": 0.00018323955303926163,
556
+ "loss": 0.5174,
557
+ "step": 76
558
+ },
559
+ {
560
+ "epoch": 0.6350515463917525,
561
+ "grad_norm": 0.4390040338039398,
562
+ "learning_rate": 0.00018274305797353395,
563
+ "loss": 0.6249,
564
+ "step": 77
565
+ },
566
+ {
567
+ "epoch": 0.643298969072165,
568
+ "grad_norm": 0.4298490285873413,
569
+ "learning_rate": 0.00018224000932131568,
570
+ "loss": 0.5682,
571
+ "step": 78
572
+ },
573
+ {
574
+ "epoch": 0.6515463917525773,
575
+ "grad_norm": 0.3995118737220764,
576
+ "learning_rate": 0.00018173044692610467,
577
+ "loss": 0.5261,
578
+ "step": 79
579
+ },
580
+ {
581
+ "epoch": 0.6597938144329897,
582
+ "grad_norm": 0.41546231508255005,
583
+ "learning_rate": 0.00018121441114731367,
584
+ "loss": 0.5296,
585
+ "step": 80
586
+ },
587
+ {
588
+ "epoch": 0.668041237113402,
589
+ "grad_norm": 0.4129379093647003,
590
+ "learning_rate": 0.0001806919428570737,
591
+ "loss": 0.5576,
592
+ "step": 81
593
+ },
594
+ {
595
+ "epoch": 0.6762886597938145,
596
+ "grad_norm": 0.4260002672672272,
597
+ "learning_rate": 0.00018016308343699687,
598
+ "loss": 0.6042,
599
+ "step": 82
600
+ },
601
+ {
602
+ "epoch": 0.6845360824742268,
603
+ "grad_norm": 0.3927561640739441,
604
+ "learning_rate": 0.00017962787477489878,
605
+ "loss": 0.5349,
606
+ "step": 83
607
+ },
608
+ {
609
+ "epoch": 0.6927835051546392,
610
+ "grad_norm": 0.39806240797042847,
611
+ "learning_rate": 0.00017908635926148069,
612
+ "loss": 0.5386,
613
+ "step": 84
614
+ },
615
+ {
616
+ "epoch": 0.7010309278350515,
617
+ "grad_norm": 0.3762768805027008,
618
+ "learning_rate": 0.00017853857978697223,
619
+ "loss": 0.545,
620
+ "step": 85
621
+ },
622
+ {
623
+ "epoch": 0.709278350515464,
624
+ "grad_norm": 0.4306787848472595,
625
+ "learning_rate": 0.00017798457973773417,
626
+ "loss": 0.6305,
627
+ "step": 86
628
+ },
629
+ {
630
+ "epoch": 0.7175257731958763,
631
+ "grad_norm": 0.3811737596988678,
632
+ "learning_rate": 0.00017742440299282203,
633
+ "loss": 0.539,
634
+ "step": 87
635
+ },
636
+ {
637
+ "epoch": 0.7257731958762886,
638
+ "grad_norm": 0.39163580536842346,
639
+ "learning_rate": 0.00017685809392051083,
640
+ "loss": 0.5286,
641
+ "step": 88
642
+ },
643
+ {
644
+ "epoch": 0.734020618556701,
645
+ "grad_norm": 0.4237455725669861,
646
+ "learning_rate": 0.00017628569737478076,
647
+ "loss": 0.5801,
648
+ "step": 89
649
+ },
650
+ {
651
+ "epoch": 0.7422680412371134,
652
+ "grad_norm": 0.41603776812553406,
653
+ "learning_rate": 0.00017570725869176467,
654
+ "loss": 0.6001,
655
+ "step": 90
656
+ },
657
+ {
658
+ "epoch": 0.7505154639175258,
659
+ "grad_norm": 0.3811546862125397,
660
+ "learning_rate": 0.00017512282368615728,
661
+ "loss": 0.5942,
662
+ "step": 91
663
+ },
664
+ {
665
+ "epoch": 0.7587628865979381,
666
+ "grad_norm": 0.3982357680797577,
667
+ "learning_rate": 0.00017453243864758638,
668
+ "loss": 0.5655,
669
+ "step": 92
670
+ },
671
+ {
672
+ "epoch": 0.7670103092783506,
673
+ "grad_norm": 0.43069708347320557,
674
+ "learning_rate": 0.00017393615033694656,
675
+ "loss": 0.5251,
676
+ "step": 93
677
+ },
678
+ {
679
+ "epoch": 0.7752577319587629,
680
+ "grad_norm": 0.3952259421348572,
681
+ "learning_rate": 0.0001733340059826956,
682
+ "loss": 0.5462,
683
+ "step": 94
684
+ },
685
+ {
686
+ "epoch": 0.7835051546391752,
687
+ "grad_norm": 0.40667715668678284,
688
+ "learning_rate": 0.00017272605327711365,
689
+ "loss": 0.5303,
690
+ "step": 95
691
+ },
692
+ {
693
+ "epoch": 0.7917525773195876,
694
+ "grad_norm": 0.3917592465877533,
695
+ "learning_rate": 0.000172112340372526,
696
+ "loss": 0.612,
697
+ "step": 96
698
+ },
699
+ {
700
+ "epoch": 0.8,
701
+ "grad_norm": 0.37455278635025024,
702
+ "learning_rate": 0.00017149291587748898,
703
+ "loss": 0.4831,
704
+ "step": 97
705
+ },
706
+ {
707
+ "epoch": 0.8082474226804124,
708
+ "grad_norm": 0.3805007040500641,
709
+ "learning_rate": 0.00017086782885294025,
710
+ "loss": 0.5237,
711
+ "step": 98
712
+ },
713
+ {
714
+ "epoch": 0.8164948453608247,
715
+ "grad_norm": 0.4057518541812897,
716
+ "learning_rate": 0.0001702371288083127,
717
+ "loss": 0.611,
718
+ "step": 99
719
+ },
720
+ {
721
+ "epoch": 0.8247422680412371,
722
+ "grad_norm": 0.424902081489563,
723
+ "learning_rate": 0.00016960086569761332,
724
+ "loss": 0.5071,
725
+ "step": 100
726
+ },
727
+ {
728
+ "epoch": 0.8329896907216495,
729
+ "grad_norm": 0.41015303134918213,
730
+ "learning_rate": 0.0001689590899154664,
731
+ "loss": 0.6073,
732
+ "step": 101
733
+ },
734
+ {
735
+ "epoch": 0.8412371134020619,
736
+ "grad_norm": 0.3922909200191498,
737
+ "learning_rate": 0.00016831185229312237,
738
+ "loss": 0.5923,
739
+ "step": 102
740
+ },
741
+ {
742
+ "epoch": 0.8494845360824742,
743
+ "grad_norm": 0.43730470538139343,
744
+ "learning_rate": 0.0001676592040944315,
745
+ "loss": 0.5937,
746
+ "step": 103
747
+ },
748
+ {
749
+ "epoch": 0.8577319587628865,
750
+ "grad_norm": 0.3726069927215576,
751
+ "learning_rate": 0.0001670011970117838,
752
+ "loss": 0.4912,
753
+ "step": 104
754
+ },
755
+ {
756
+ "epoch": 0.865979381443299,
757
+ "grad_norm": 0.404433012008667,
758
+ "learning_rate": 0.00016633788316201454,
759
+ "loss": 0.474,
760
+ "step": 105
761
+ },
762
+ {
763
+ "epoch": 0.8742268041237113,
764
+ "grad_norm": 0.41312918066978455,
765
+ "learning_rate": 0.0001656693150822766,
766
+ "loss": 0.5545,
767
+ "step": 106
768
+ },
769
+ {
770
+ "epoch": 0.8824742268041237,
771
+ "grad_norm": 0.42073437571525574,
772
+ "learning_rate": 0.0001649955457258792,
773
+ "loss": 0.5488,
774
+ "step": 107
775
+ },
776
+ {
777
+ "epoch": 0.8907216494845361,
778
+ "grad_norm": 0.39594408869743347,
779
+ "learning_rate": 0.00016431662845809388,
780
+ "loss": 0.5798,
781
+ "step": 108
782
+ },
783
+ {
784
+ "epoch": 0.8989690721649485,
785
+ "grad_norm": 0.41331595182418823,
786
+ "learning_rate": 0.00016363261705192757,
787
+ "loss": 0.5188,
788
+ "step": 109
789
+ },
790
+ {
791
+ "epoch": 0.9072164948453608,
792
+ "grad_norm": 0.3879910111427307,
793
+ "learning_rate": 0.00016294356568386369,
794
+ "loss": 0.5676,
795
+ "step": 110
796
+ },
797
+ {
798
+ "epoch": 0.9154639175257732,
799
+ "grad_norm": 0.41248220205307007,
800
+ "learning_rate": 0.00016224952892957123,
801
+ "loss": 0.541,
802
+ "step": 111
803
+ },
804
+ {
805
+ "epoch": 0.9237113402061856,
806
+ "grad_norm": 0.3406890034675598,
807
+ "learning_rate": 0.0001615505617595819,
808
+ "loss": 0.4902,
809
+ "step": 112
810
+ },
811
+ {
812
+ "epoch": 0.931958762886598,
813
+ "grad_norm": 0.3741547167301178,
814
+ "learning_rate": 0.00016084671953493643,
815
+ "loss": 0.5247,
816
+ "step": 113
817
+ },
818
+ {
819
+ "epoch": 0.9402061855670103,
820
+ "grad_norm": 0.37796300649642944,
821
+ "learning_rate": 0.00016013805800279976,
822
+ "loss": 0.5091,
823
+ "step": 114
824
+ },
825
+ {
826
+ "epoch": 0.9484536082474226,
827
+ "grad_norm": 0.3957986533641815,
828
+ "learning_rate": 0.00015942463329204546,
829
+ "loss": 0.5809,
830
+ "step": 115
831
+ },
832
+ {
833
+ "epoch": 0.9567010309278351,
834
+ "grad_norm": 0.38373249769210815,
835
+ "learning_rate": 0.00015870650190881022,
836
+ "loss": 0.4693,
837
+ "step": 116
838
+ },
839
+ {
840
+ "epoch": 0.9649484536082474,
841
+ "grad_norm": 0.4250248074531555,
842
+ "learning_rate": 0.00015798372073201836,
843
+ "loss": 0.5668,
844
+ "step": 117
845
+ },
846
+ {
847
+ "epoch": 0.9731958762886598,
848
+ "grad_norm": 0.37807247042655945,
849
+ "learning_rate": 0.00015725634700887678,
850
+ "loss": 0.5159,
851
+ "step": 118
852
+ },
853
+ {
854
+ "epoch": 0.9814432989690721,
855
+ "grad_norm": 0.3726092278957367,
856
+ "learning_rate": 0.00015652443835034068,
857
+ "loss": 0.5605,
858
+ "step": 119
859
+ },
860
+ {
861
+ "epoch": 0.9896907216494846,
862
+ "grad_norm": 0.38076040148735046,
863
+ "learning_rate": 0.0001557880527265505,
864
+ "loss": 0.537,
865
+ "step": 120
866
+ },
867
+ {
868
+ "epoch": 0.9979381443298969,
869
+ "grad_norm": 0.37176623940467834,
870
+ "learning_rate": 0.00015504724846224064,
871
+ "loss": 0.5603,
872
+ "step": 121
873
+ },
874
+ {
875
+ "epoch": 1.0061855670103093,
876
+ "grad_norm": 0.36700350046157837,
877
+ "learning_rate": 0.00015430208423211975,
878
+ "loss": 0.5398,
879
+ "step": 122
880
+ },
881
+ {
882
+ "epoch": 1.0061855670103093,
883
+ "eval_loss": 0.5378922820091248,
884
+ "eval_runtime": 296.9545,
885
+ "eval_samples_per_second": 2.021,
886
+ "eval_steps_per_second": 1.01,
887
+ "step": 122
888
+ },
889
+ {
890
+ "epoch": 1.0041237113402062,
891
+ "grad_norm": 0.35800787806510925,
892
+ "learning_rate": 0.00015355261905622343,
893
+ "loss": 0.5065,
894
+ "step": 123
895
+ },
896
+ {
897
+ "epoch": 1.0123711340206185,
898
+ "grad_norm": 0.32381781935691833,
899
+ "learning_rate": 0.0001527989122952398,
900
+ "loss": 0.4246,
901
+ "step": 124
902
+ },
903
+ {
904
+ "epoch": 1.0206185567010309,
905
+ "grad_norm": 0.34609419107437134,
906
+ "learning_rate": 0.00015204102364580765,
907
+ "loss": 0.4654,
908
+ "step": 125
909
+ },
910
+ {
911
+ "epoch": 1.0288659793814432,
912
+ "grad_norm": 0.3360902965068817,
913
+ "learning_rate": 0.00015127901313578831,
914
+ "loss": 0.424,
915
+ "step": 126
916
+ },
917
+ {
918
+ "epoch": 1.0371134020618558,
919
+ "grad_norm": 0.3538791835308075,
920
+ "learning_rate": 0.00015051294111951134,
921
+ "loss": 0.4261,
922
+ "step": 127
923
+ },
924
+ {
925
+ "epoch": 1.045360824742268,
926
+ "grad_norm": 0.36259981989860535,
927
+ "learning_rate": 0.000149742868272994,
928
+ "loss": 0.4162,
929
+ "step": 128
930
+ },
931
+ {
932
+ "epoch": 1.0536082474226804,
933
+ "grad_norm": 0.3865598440170288,
934
+ "learning_rate": 0.00014896885558913562,
935
+ "loss": 0.4767,
936
+ "step": 129
937
+ },
938
+ {
939
+ "epoch": 1.0618556701030928,
940
+ "grad_norm": 0.34752511978149414,
941
+ "learning_rate": 0.00014819096437288664,
942
+ "loss": 0.4461,
943
+ "step": 130
944
+ },
945
+ {
946
+ "epoch": 1.0701030927835051,
947
+ "grad_norm": 0.3833150565624237,
948
+ "learning_rate": 0.000147409256236393,
949
+ "loss": 0.469,
950
+ "step": 131
951
+ },
952
+ {
953
+ "epoch": 1.0783505154639175,
954
+ "grad_norm": 0.3767507076263428,
955
+ "learning_rate": 0.0001466237930941163,
956
+ "loss": 0.4165,
957
+ "step": 132
958
+ },
959
+ {
960
+ "epoch": 1.0865979381443298,
961
+ "grad_norm": 0.47273167967796326,
962
+ "learning_rate": 0.00014583463715792984,
963
+ "loss": 0.6179,
964
+ "step": 133
965
+ },
966
+ {
967
+ "epoch": 1.0948453608247424,
968
+ "grad_norm": 0.3700537383556366,
969
+ "learning_rate": 0.00014504185093219116,
970
+ "loss": 0.4509,
971
+ "step": 134
972
+ },
973
+ {
974
+ "epoch": 1.1030927835051547,
975
+ "grad_norm": 0.4104892611503601,
976
+ "learning_rate": 0.0001442454972087915,
977
+ "loss": 0.4542,
978
+ "step": 135
979
+ },
980
+ {
981
+ "epoch": 1.111340206185567,
982
+ "grad_norm": 0.39110255241394043,
983
+ "learning_rate": 0.00014344563906218256,
984
+ "loss": 0.4679,
985
+ "step": 136
986
+ },
987
+ {
988
+ "epoch": 1.1195876288659794,
989
+ "grad_norm": 0.42041921615600586,
990
+ "learning_rate": 0.0001426423398443803,
991
+ "loss": 0.4453,
992
+ "step": 137
993
+ },
994
+ {
995
+ "epoch": 1.1278350515463917,
996
+ "grad_norm": 0.4177539050579071,
997
+ "learning_rate": 0.0001418356631799478,
998
+ "loss": 0.4112,
999
+ "step": 138
1000
+ },
1001
+ {
1002
+ "epoch": 1.136082474226804,
1003
+ "grad_norm": 0.4446333944797516,
1004
+ "learning_rate": 0.00014102567296095551,
1005
+ "loss": 0.4735,
1006
+ "step": 139
1007
+ },
1008
+ {
1009
+ "epoch": 1.1443298969072164,
1010
+ "grad_norm": 0.39587873220443726,
1011
+ "learning_rate": 0.00014021243334192082,
1012
+ "loss": 0.4636,
1013
+ "step": 140
1014
+ },
1015
+ {
1016
+ "epoch": 1.1525773195876288,
1017
+ "grad_norm": 0.415682852268219,
1018
+ "learning_rate": 0.00013939600873472694,
1019
+ "loss": 0.4534,
1020
+ "step": 141
1021
+ },
1022
+ {
1023
+ "epoch": 1.1608247422680413,
1024
+ "grad_norm": 0.3811276853084564,
1025
+ "learning_rate": 0.00013857646380352102,
1026
+ "loss": 0.4555,
1027
+ "step": 142
1028
+ },
1029
+ {
1030
+ "epoch": 1.1690721649484537,
1031
+ "grad_norm": 0.3821997046470642,
1032
+ "learning_rate": 0.00013775386345959246,
1033
+ "loss": 0.4381,
1034
+ "step": 143
1035
+ },
1036
+ {
1037
+ "epoch": 1.177319587628866,
1038
+ "grad_norm": 0.3770444989204407,
1039
+ "learning_rate": 0.00013692827285623197,
1040
+ "loss": 0.4064,
1041
+ "step": 144
1042
+ },
1043
+ {
1044
+ "epoch": 1.1855670103092784,
1045
+ "grad_norm": 0.43066269159317017,
1046
+ "learning_rate": 0.0001360997573835708,
1047
+ "loss": 0.4532,
1048
+ "step": 145
1049
+ },
1050
+ {
1051
+ "epoch": 1.1938144329896907,
1052
+ "grad_norm": 0.36327502131462097,
1053
+ "learning_rate": 0.00013526838266340177,
1054
+ "loss": 0.3665,
1055
+ "step": 146
1056
+ },
1057
+ {
1058
+ "epoch": 1.202061855670103,
1059
+ "grad_norm": 0.40168052911758423,
1060
+ "learning_rate": 0.00013443421454398174,
1061
+ "loss": 0.4727,
1062
+ "step": 147
1063
+ },
1064
+ {
1065
+ "epoch": 1.2103092783505154,
1066
+ "grad_norm": 0.39729252457618713,
1067
+ "learning_rate": 0.00013359731909481616,
1068
+ "loss": 0.4236,
1069
+ "step": 148
1070
+ },
1071
+ {
1072
+ "epoch": 1.218556701030928,
1073
+ "grad_norm": 0.39847901463508606,
1074
+ "learning_rate": 0.00013275776260142608,
1075
+ "loss": 0.4036,
1076
+ "step": 149
1077
+ },
1078
+ {
1079
+ "epoch": 1.2268041237113403,
1080
+ "grad_norm": 0.3883432447910309,
1081
+ "learning_rate": 0.00013191561156009803,
1082
+ "loss": 0.4061,
1083
+ "step": 150
1084
+ },
1085
+ {
1086
+ "epoch": 1.2350515463917526,
1087
+ "grad_norm": 0.3763248026371002,
1088
+ "learning_rate": 0.0001310709326726173,
1089
+ "loss": 0.3907,
1090
+ "step": 151
1091
+ },
1092
+ {
1093
+ "epoch": 1.243298969072165,
1094
+ "grad_norm": 0.4451892673969269,
1095
+ "learning_rate": 0.00013022379284098487,
1096
+ "loss": 0.483,
1097
+ "step": 152
1098
+ },
1099
+ {
1100
+ "epoch": 1.2515463917525773,
1101
+ "grad_norm": 0.4433348774909973,
1102
+ "learning_rate": 0.00012937425916211852,
1103
+ "loss": 0.4228,
1104
+ "step": 153
1105
+ },
1106
+ {
1107
+ "epoch": 1.2597938144329897,
1108
+ "grad_norm": 0.42469412088394165,
1109
+ "learning_rate": 0.00012852239892253842,
1110
+ "loss": 0.4543,
1111
+ "step": 154
1112
+ },
1113
+ {
1114
+ "epoch": 1.268041237113402,
1115
+ "grad_norm": 0.41997918486595154,
1116
+ "learning_rate": 0.00012766827959303787,
1117
+ "loss": 0.3975,
1118
+ "step": 155
1119
+ },
1120
+ {
1121
+ "epoch": 1.2762886597938143,
1122
+ "grad_norm": 0.4060366749763489,
1123
+ "learning_rate": 0.00012681196882333916,
1124
+ "loss": 0.4245,
1125
+ "step": 156
1126
+ },
1127
+ {
1128
+ "epoch": 1.2845360824742267,
1129
+ "grad_norm": 0.4799356162548065,
1130
+ "learning_rate": 0.0001259535344367357,
1131
+ "loss": 0.3823,
1132
+ "step": 157
1133
+ },
1134
+ {
1135
+ "epoch": 1.2927835051546392,
1136
+ "grad_norm": 0.387761652469635,
1137
+ "learning_rate": 0.00012509304442471985,
1138
+ "loss": 0.4591,
1139
+ "step": 158
1140
+ },
1141
+ {
1142
+ "epoch": 1.3010309278350516,
1143
+ "grad_norm": 0.4064452350139618,
1144
+ "learning_rate": 0.0001242305669415979,
1145
+ "loss": 0.439,
1146
+ "step": 159
1147
+ },
1148
+ {
1149
+ "epoch": 1.309278350515464,
1150
+ "grad_norm": 0.39760932326316833,
1151
+ "learning_rate": 0.00012336617029909205,
1152
+ "loss": 0.4017,
1153
+ "step": 160
1154
+ },
1155
+ {
1156
+ "epoch": 1.3175257731958763,
1157
+ "grad_norm": 0.43200570344924927,
1158
+ "learning_rate": 0.00012249992296092956,
1159
+ "loss": 0.4423,
1160
+ "step": 161
1161
+ },
1162
+ {
1163
+ "epoch": 1.3257731958762886,
1164
+ "grad_norm": 0.43232297897338867,
1165
+ "learning_rate": 0.00012163189353742035,
1166
+ "loss": 0.4342,
1167
+ "step": 162
1168
+ },
1169
+ {
1170
+ "epoch": 1.334020618556701,
1171
+ "grad_norm": 0.43833640217781067,
1172
+ "learning_rate": 0.00012076215078002278,
1173
+ "loss": 0.5219,
1174
+ "step": 163
1175
+ },
1176
+ {
1177
+ "epoch": 1.3422680412371135,
1178
+ "grad_norm": 0.40365973114967346,
1179
+ "learning_rate": 0.0001198907635758982,
1180
+ "loss": 0.4123,
1181
+ "step": 164
1182
+ },
1183
+ {
1184
+ "epoch": 1.3505154639175259,
1185
+ "grad_norm": 0.43913137912750244,
1186
+ "learning_rate": 0.00011901780094245483,
1187
+ "loss": 0.4149,
1188
+ "step": 165
1189
+ },
1190
+ {
1191
+ "epoch": 1.3587628865979382,
1192
+ "grad_norm": 0.4219210147857666,
1193
+ "learning_rate": 0.00011814333202188126,
1194
+ "loss": 0.4127,
1195
+ "step": 166
1196
+ },
1197
+ {
1198
+ "epoch": 1.3670103092783505,
1199
+ "grad_norm": 0.42331403493881226,
1200
+ "learning_rate": 0.0001172674260756702,
1201
+ "loss": 0.3926,
1202
+ "step": 167
1203
+ },
1204
+ {
1205
+ "epoch": 1.3752577319587629,
1206
+ "grad_norm": 0.3824922442436218,
1207
+ "learning_rate": 0.00011639015247913261,
1208
+ "loss": 0.3781,
1209
+ "step": 168
1210
+ },
1211
+ {
1212
+ "epoch": 1.3835051546391752,
1213
+ "grad_norm": 0.4475767910480499,
1214
+ "learning_rate": 0.0001155115807159029,
1215
+ "loss": 0.5629,
1216
+ "step": 169
1217
+ },
1218
+ {
1219
+ "epoch": 1.3917525773195876,
1220
+ "grad_norm": 0.36695027351379395,
1221
+ "learning_rate": 0.00011463178037243554,
1222
+ "loss": 0.3622,
1223
+ "step": 170
1224
+ },
1225
+ {
1226
+ "epoch": 1.4,
1227
+ "grad_norm": 0.41651466488838196,
1228
+ "learning_rate": 0.0001137508211324936,
1229
+ "loss": 0.4043,
1230
+ "step": 171
1231
+ },
1232
+ {
1233
+ "epoch": 1.4082474226804123,
1234
+ "grad_norm": 0.4297608733177185,
1235
+ "learning_rate": 0.00011286877277162943,
1236
+ "loss": 0.4575,
1237
+ "step": 172
1238
+ },
1239
+ {
1240
+ "epoch": 1.4164948453608248,
1241
+ "grad_norm": 0.441707968711853,
1242
+ "learning_rate": 0.00011198570515165822,
1243
+ "loss": 0.4435,
1244
+ "step": 173
1245
+ },
1246
+ {
1247
+ "epoch": 1.4247422680412372,
1248
+ "grad_norm": 0.4173315465450287,
1249
+ "learning_rate": 0.00011110168821512452,
1250
+ "loss": 0.4367,
1251
+ "step": 174
1252
+ },
1253
+ {
1254
+ "epoch": 1.4329896907216495,
1255
+ "grad_norm": 0.42195403575897217,
1256
+ "learning_rate": 0.00011021679197976274,
1257
+ "loss": 0.4258,
1258
+ "step": 175
1259
+ },
1260
+ {
1261
+ "epoch": 1.4412371134020618,
1262
+ "grad_norm": 0.394330769777298,
1263
+ "learning_rate": 0.00010933108653295128,
1264
+ "loss": 0.4329,
1265
+ "step": 176
1266
+ },
1267
+ {
1268
+ "epoch": 1.4494845360824742,
1269
+ "grad_norm": 0.4263797998428345,
1270
+ "learning_rate": 0.00010844464202616127,
1271
+ "loss": 0.475,
1272
+ "step": 177
1273
+ },
1274
+ {
1275
+ "epoch": 1.4577319587628865,
1276
+ "grad_norm": 0.36980873346328735,
1277
+ "learning_rate": 0.00010755752866940062,
1278
+ "loss": 0.3833,
1279
+ "step": 178
1280
+ },
1281
+ {
1282
+ "epoch": 1.465979381443299,
1283
+ "grad_norm": 0.42231741547584534,
1284
+ "learning_rate": 0.0001066698167256527,
1285
+ "loss": 0.4716,
1286
+ "step": 179
1287
+ },
1288
+ {
1289
+ "epoch": 1.4742268041237114,
1290
+ "grad_norm": 0.40805140137672424,
1291
+ "learning_rate": 0.00010578157650531146,
1292
+ "loss": 0.4483,
1293
+ "step": 180
1294
+ },
1295
+ {
1296
+ "epoch": 1.4824742268041238,
1297
+ "grad_norm": 0.4024035334587097,
1298
+ "learning_rate": 0.00010489287836061246,
1299
+ "loss": 0.4319,
1300
+ "step": 181
1301
+ },
1302
+ {
1303
+ "epoch": 1.4907216494845361,
1304
+ "grad_norm": 0.38521435856819153,
1305
+ "learning_rate": 0.00010400379268006082,
1306
+ "loss": 0.4082,
1307
+ "step": 182
1308
+ },
1309
+ {
1310
+ "epoch": 1.4989690721649485,
1311
+ "grad_norm": 0.4192781448364258,
1312
+ "learning_rate": 0.00010311438988285598,
1313
+ "loss": 0.4614,
1314
+ "step": 183
1315
+ },
1316
+ {
1317
+ "epoch": 1.4989690721649485,
1318
+ "eval_loss": 0.5294703245162964,
1319
+ "eval_runtime": 297.0142,
1320
+ "eval_samples_per_second": 2.02,
1321
+ "eval_steps_per_second": 1.01,
1322
+ "step": 183
1323
+ },
1324
+ {
1325
+ "epoch": 1.5072164948453608,
1326
+ "grad_norm": 0.4073619246482849,
1327
+ "learning_rate": 0.00010222474041331436,
1328
+ "loss": 0.4335,
1329
+ "step": 184
1330
+ },
1331
+ {
1332
+ "epoch": 1.5154639175257731,
1333
+ "grad_norm": 0.3790091574192047,
1334
+ "learning_rate": 0.0001013349147352898,
1335
+ "loss": 0.3892,
1336
+ "step": 185
1337
+ },
1338
+ {
1339
+ "epoch": 1.5237113402061855,
1340
+ "grad_norm": 0.39920473098754883,
1341
+ "learning_rate": 0.00010044498332659264,
1342
+ "loss": 0.416,
1343
+ "step": 186
1344
+ },
1345
+ {
1346
+ "epoch": 1.5319587628865978,
1347
+ "grad_norm": 0.37349697947502136,
1348
+ "learning_rate": 9.955501667340741e-05,
1349
+ "loss": 0.3943,
1350
+ "step": 187
1351
+ },
1352
+ {
1353
+ "epoch": 1.5402061855670102,
1354
+ "grad_norm": 0.3844608962535858,
1355
+ "learning_rate": 9.866508526471023e-05,
1356
+ "loss": 0.4057,
1357
+ "step": 188
1358
+ },
1359
+ {
1360
+ "epoch": 1.5484536082474227,
1361
+ "grad_norm": 0.40029478073120117,
1362
+ "learning_rate": 9.77752595866857e-05,
1363
+ "loss": 0.429,
1364
+ "step": 189
1365
+ },
1366
+ {
1367
+ "epoch": 1.556701030927835,
1368
+ "grad_norm": 0.42949914932250977,
1369
+ "learning_rate": 9.688561011714404e-05,
1370
+ "loss": 0.4247,
1371
+ "step": 190
1372
+ },
1373
+ {
1374
+ "epoch": 1.5649484536082474,
1375
+ "grad_norm": 0.3950637876987457,
1376
+ "learning_rate": 9.599620731993922e-05,
1377
+ "loss": 0.4358,
1378
+ "step": 191
1379
+ },
1380
+ {
1381
+ "epoch": 1.5731958762886598,
1382
+ "grad_norm": 0.4211474359035492,
1383
+ "learning_rate": 9.510712163938755e-05,
1384
+ "loss": 0.4485,
1385
+ "step": 192
1386
+ },
1387
+ {
1388
+ "epoch": 1.5814432989690723,
1389
+ "grad_norm": 0.41278165578842163,
1390
+ "learning_rate": 9.421842349468855e-05,
1391
+ "loss": 0.458,
1392
+ "step": 193
1393
+ },
1394
+ {
1395
+ "epoch": 1.5896907216494847,
1396
+ "grad_norm": 0.4086206555366516,
1397
+ "learning_rate": 9.333018327434731e-05,
1398
+ "loss": 0.4295,
1399
+ "step": 194
1400
+ },
1401
+ {
1402
+ "epoch": 1.597938144329897,
1403
+ "grad_norm": 0.38980671763420105,
1404
+ "learning_rate": 9.244247133059938e-05,
1405
+ "loss": 0.3858,
1406
+ "step": 195
1407
+ },
1408
+ {
1409
+ "epoch": 1.6061855670103093,
1410
+ "grad_norm": 0.4090917706489563,
1411
+ "learning_rate": 9.155535797383874e-05,
1412
+ "loss": 0.3678,
1413
+ "step": 196
1414
+ },
1415
+ {
1416
+ "epoch": 1.6144329896907217,
1417
+ "grad_norm": 0.4124603271484375,
1418
+ "learning_rate": 9.066891346704875e-05,
1419
+ "loss": 0.4203,
1420
+ "step": 197
1421
+ },
1422
+ {
1423
+ "epoch": 1.622680412371134,
1424
+ "grad_norm": 0.4070824384689331,
1425
+ "learning_rate": 8.978320802023731e-05,
1426
+ "loss": 0.4558,
1427
+ "step": 198
1428
+ },
1429
+ {
1430
+ "epoch": 1.6309278350515464,
1431
+ "grad_norm": 0.376213401556015,
1432
+ "learning_rate": 8.88983117848755e-05,
1433
+ "loss": 0.3928,
1434
+ "step": 199
1435
+ },
1436
+ {
1437
+ "epoch": 1.6391752577319587,
1438
+ "grad_norm": 0.4122854769229889,
1439
+ "learning_rate": 8.801429484834183e-05,
1440
+ "loss": 0.4521,
1441
+ "step": 200
1442
+ },
1443
+ {
1444
+ "epoch": 1.647422680412371,
1445
+ "grad_norm": 0.38308247923851013,
1446
+ "learning_rate": 8.713122722837058e-05,
1447
+ "loss": 0.3727,
1448
+ "step": 201
1449
+ },
1450
+ {
1451
+ "epoch": 1.6556701030927834,
1452
+ "grad_norm": 0.4036957919597626,
1453
+ "learning_rate": 8.624917886750638e-05,
1454
+ "loss": 0.4497,
1455
+ "step": 202
1456
+ },
1457
+ {
1458
+ "epoch": 1.6639175257731957,
1459
+ "grad_norm": 0.44214046001434326,
1460
+ "learning_rate": 8.536821962756447e-05,
1461
+ "loss": 0.5122,
1462
+ "step": 203
1463
+ },
1464
+ {
1465
+ "epoch": 1.6721649484536083,
1466
+ "grad_norm": 0.40875983238220215,
1467
+ "learning_rate": 8.448841928409711e-05,
1468
+ "loss": 0.4393,
1469
+ "step": 204
1470
+ },
1471
+ {
1472
+ "epoch": 1.6804123711340206,
1473
+ "grad_norm": 0.42527636885643005,
1474
+ "learning_rate": 8.360984752086743e-05,
1475
+ "loss": 0.4545,
1476
+ "step": 205
1477
+ },
1478
+ {
1479
+ "epoch": 1.688659793814433,
1480
+ "grad_norm": 0.433173269033432,
1481
+ "learning_rate": 8.273257392432981e-05,
1482
+ "loss": 0.4867,
1483
+ "step": 206
1484
+ },
1485
+ {
1486
+ "epoch": 1.6969072164948453,
1487
+ "grad_norm": 0.386598140001297,
1488
+ "learning_rate": 8.185666797811878e-05,
1489
+ "loss": 0.4253,
1490
+ "step": 207
1491
+ },
1492
+ {
1493
+ "epoch": 1.705154639175258,
1494
+ "grad_norm": 0.40319326519966125,
1495
+ "learning_rate": 8.09821990575452e-05,
1496
+ "loss": 0.3935,
1497
+ "step": 208
1498
+ },
1499
+ {
1500
+ "epoch": 1.7134020618556702,
1501
+ "grad_norm": 0.4310265779495239,
1502
+ "learning_rate": 8.010923642410184e-05,
1503
+ "loss": 0.4184,
1504
+ "step": 209
1505
+ },
1506
+ {
1507
+ "epoch": 1.7216494845360826,
1508
+ "grad_norm": 0.3964579999446869,
1509
+ "learning_rate": 7.923784921997726e-05,
1510
+ "loss": 0.4449,
1511
+ "step": 210
1512
+ },
1513
+ {
1514
+ "epoch": 1.729896907216495,
1515
+ "grad_norm": 0.39828160405158997,
1516
+ "learning_rate": 7.836810646257971e-05,
1517
+ "loss": 0.4227,
1518
+ "step": 211
1519
+ },
1520
+ {
1521
+ "epoch": 1.7381443298969073,
1522
+ "grad_norm": 0.3750438392162323,
1523
+ "learning_rate": 7.750007703907046e-05,
1524
+ "loss": 0.3746,
1525
+ "step": 212
1526
+ },
1527
+ {
1528
+ "epoch": 1.7463917525773196,
1529
+ "grad_norm": 0.40668681263923645,
1530
+ "learning_rate": 7.663382970090795e-05,
1531
+ "loss": 0.4351,
1532
+ "step": 213
1533
+ },
1534
+ {
1535
+ "epoch": 1.754639175257732,
1536
+ "grad_norm": 0.4102826714515686,
1537
+ "learning_rate": 7.57694330584021e-05,
1538
+ "loss": 0.3999,
1539
+ "step": 214
1540
+ },
1541
+ {
1542
+ "epoch": 1.7628865979381443,
1543
+ "grad_norm": 0.4256535470485687,
1544
+ "learning_rate": 7.490695557528016e-05,
1545
+ "loss": 0.4321,
1546
+ "step": 215
1547
+ },
1548
+ {
1549
+ "epoch": 1.7711340206185566,
1550
+ "grad_norm": 0.3946252167224884,
1551
+ "learning_rate": 7.404646556326433e-05,
1552
+ "loss": 0.4323,
1553
+ "step": 216
1554
+ },
1555
+ {
1556
+ "epoch": 1.779381443298969,
1557
+ "grad_norm": 0.3808107078075409,
1558
+ "learning_rate": 7.318803117666084e-05,
1559
+ "loss": 0.3942,
1560
+ "step": 217
1561
+ },
1562
+ {
1563
+ "epoch": 1.7876288659793813,
1564
+ "grad_norm": 0.420895516872406,
1565
+ "learning_rate": 7.233172040696216e-05,
1566
+ "loss": 0.4466,
1567
+ "step": 218
1568
+ },
1569
+ {
1570
+ "epoch": 1.7958762886597937,
1571
+ "grad_norm": 0.3973442614078522,
1572
+ "learning_rate": 7.14776010774616e-05,
1573
+ "loss": 0.4455,
1574
+ "step": 219
1575
+ },
1576
+ {
1577
+ "epoch": 1.8041237113402062,
1578
+ "grad_norm": 0.40194034576416016,
1579
+ "learning_rate": 7.062574083788152e-05,
1580
+ "loss": 0.4622,
1581
+ "step": 220
1582
+ },
1583
+ {
1584
+ "epoch": 1.8123711340206186,
1585
+ "grad_norm": 0.37952494621276855,
1586
+ "learning_rate": 6.977620715901514e-05,
1587
+ "loss": 0.3899,
1588
+ "step": 221
1589
+ },
1590
+ {
1591
+ "epoch": 1.820618556701031,
1592
+ "grad_norm": 0.43268251419067383,
1593
+ "learning_rate": 6.892906732738271e-05,
1594
+ "loss": 0.4555,
1595
+ "step": 222
1596
+ },
1597
+ {
1598
+ "epoch": 1.8288659793814435,
1599
+ "grad_norm": 0.39225122332572937,
1600
+ "learning_rate": 6.8084388439902e-05,
1601
+ "loss": 0.3727,
1602
+ "step": 223
1603
+ },
1604
+ {
1605
+ "epoch": 1.8371134020618558,
1606
+ "grad_norm": 0.39572715759277344,
1607
+ "learning_rate": 6.724223739857392e-05,
1608
+ "loss": 0.4696,
1609
+ "step": 224
1610
+ },
1611
+ {
1612
+ "epoch": 1.8453608247422681,
1613
+ "grad_norm": 0.4312278628349304,
1614
+ "learning_rate": 6.640268090518385e-05,
1615
+ "loss": 0.492,
1616
+ "step": 225
1617
+ },
1618
+ {
1619
+ "epoch": 1.8536082474226805,
1620
+ "grad_norm": 0.40482354164123535,
1621
+ "learning_rate": 6.556578545601829e-05,
1622
+ "loss": 0.4342,
1623
+ "step": 226
1624
+ },
1625
+ {
1626
+ "epoch": 1.8618556701030928,
1627
+ "grad_norm": 0.3752698302268982,
1628
+ "learning_rate": 6.473161733659828e-05,
1629
+ "loss": 0.4197,
1630
+ "step": 227
1631
+ },
1632
+ {
1633
+ "epoch": 1.8701030927835052,
1634
+ "grad_norm": 0.41621121764183044,
1635
+ "learning_rate": 6.390024261642922e-05,
1636
+ "loss": 0.4895,
1637
+ "step": 228
1638
+ },
1639
+ {
1640
+ "epoch": 1.8783505154639175,
1641
+ "grad_norm": 0.3930753767490387,
1642
+ "learning_rate": 6.307172714376808e-05,
1643
+ "loss": 0.4508,
1644
+ "step": 229
1645
+ },
1646
+ {
1647
+ "epoch": 1.8865979381443299,
1648
+ "grad_norm": 0.4012429714202881,
1649
+ "learning_rate": 6.224613654040753e-05,
1650
+ "loss": 0.4536,
1651
+ "step": 230
1652
+ },
1653
+ {
1654
+ "epoch": 1.8948453608247422,
1655
+ "grad_norm": 0.3710065186023712,
1656
+ "learning_rate": 6.142353619647903e-05,
1657
+ "loss": 0.4206,
1658
+ "step": 231
1659
+ },
1660
+ {
1661
+ "epoch": 1.9030927835051545,
1662
+ "grad_norm": 0.3984532058238983,
1663
+ "learning_rate": 6.0603991265273074e-05,
1664
+ "loss": 0.394,
1665
+ "step": 232
1666
+ },
1667
+ {
1668
+ "epoch": 1.9113402061855669,
1669
+ "grad_norm": 0.3717309832572937,
1670
+ "learning_rate": 5.978756665807917e-05,
1671
+ "loss": 0.4004,
1672
+ "step": 233
1673
+ },
1674
+ {
1675
+ "epoch": 1.9195876288659792,
1676
+ "grad_norm": 0.3788721561431885,
1677
+ "learning_rate": 5.897432703904453e-05,
1678
+ "loss": 0.4225,
1679
+ "step": 234
1680
+ },
1681
+ {
1682
+ "epoch": 1.9278350515463918,
1683
+ "grad_norm": 0.4055582284927368,
1684
+ "learning_rate": 5.8164336820052203e-05,
1685
+ "loss": 0.4771,
1686
+ "step": 235
1687
+ },
1688
+ {
1689
+ "epoch": 1.9360824742268041,
1690
+ "grad_norm": 0.39383062720298767,
1691
+ "learning_rate": 5.735766015561971e-05,
1692
+ "loss": 0.4054,
1693
+ "step": 236
1694
+ },
1695
+ {
1696
+ "epoch": 1.9443298969072165,
1697
+ "grad_norm": 0.39192789793014526,
1698
+ "learning_rate": 5.65543609378175e-05,
1699
+ "loss": 0.4554,
1700
+ "step": 237
1701
+ },
1702
+ {
1703
+ "epoch": 1.9525773195876288,
1704
+ "grad_norm": 0.43132880330085754,
1705
+ "learning_rate": 5.5754502791208504e-05,
1706
+ "loss": 0.4845,
1707
+ "step": 238
1708
+ },
1709
+ {
1710
+ "epoch": 1.9608247422680414,
1711
+ "grad_norm": 0.3810337483882904,
1712
+ "learning_rate": 5.495814906780886e-05,
1713
+ "loss": 0.4253,
1714
+ "step": 239
1715
+ },
1716
+ {
1717
+ "epoch": 1.9690721649484537,
1718
+ "grad_norm": 0.38002529740333557,
1719
+ "learning_rate": 5.4165362842070185e-05,
1720
+ "loss": 0.4291,
1721
+ "step": 240
1722
+ },
1723
+ {
1724
+ "epoch": 1.977319587628866,
1725
+ "grad_norm": 0.3775567412376404,
1726
+ "learning_rate": 5.3376206905883694e-05,
1727
+ "loss": 0.397,
1728
+ "step": 241
1729
+ },
1730
+ {
1731
+ "epoch": 1.9855670103092784,
1732
+ "grad_norm": 0.36817148327827454,
1733
+ "learning_rate": 5.259074376360701e-05,
1734
+ "loss": 0.3816,
1735
+ "step": 242
1736
+ },
1737
+ {
1738
+ "epoch": 1.9938144329896907,
1739
+ "grad_norm": 0.4288536608219147,
1740
+ "learning_rate": 5.18090356271134e-05,
1741
+ "loss": 0.4502,
1742
+ "step": 243
1743
+ },
1744
+ {
1745
+ "epoch": 2.002061855670103,
1746
+ "grad_norm": 0.39343351125717163,
1747
+ "learning_rate": 5.1031144410864384e-05,
1748
+ "loss": 0.4323,
1749
+ "step": 244
1750
+ },
1751
+ {
1752
+ "epoch": 2.002061855670103,
1753
+ "eval_loss": 0.5178368091583252,
1754
+ "eval_runtime": 297.015,
1755
+ "eval_samples_per_second": 2.02,
1756
+ "eval_steps_per_second": 1.01,
1757
+ "step": 244
1758
+ },
1759
+ {
1760
+ "epoch": 2.0103092783505154,
1761
+ "grad_norm": 0.5457305312156677,
1762
+ "learning_rate": 5.0257131727006016e-05,
1763
+ "loss": 0.3386,
1764
+ "step": 245
1765
+ },
1766
+ {
1767
+ "epoch": 2.0082474226804123,
1768
+ "grad_norm": 0.3745405972003937,
1769
+ "learning_rate": 4.9487058880488656e-05,
1770
+ "loss": 0.3649,
1771
+ "step": 246
1772
+ },
1773
+ {
1774
+ "epoch": 2.0164948453608247,
1775
+ "grad_norm": 0.3878428637981415,
1776
+ "learning_rate": 4.87209868642117e-05,
1777
+ "loss": 0.3819,
1778
+ "step": 247
1779
+ },
1780
+ {
1781
+ "epoch": 2.024742268041237,
1782
+ "grad_norm": 0.3813370168209076,
1783
+ "learning_rate": 4.795897635419235e-05,
1784
+ "loss": 0.3593,
1785
+ "step": 248
1786
+ },
1787
+ {
1788
+ "epoch": 2.0329896907216494,
1789
+ "grad_norm": 0.3491398096084595,
1790
+ "learning_rate": 4.720108770476024e-05,
1791
+ "loss": 0.3451,
1792
+ "step": 249
1793
+ },
1794
+ {
1795
+ "epoch": 2.0412371134020617,
1796
+ "grad_norm": 0.3811284303665161,
1797
+ "learning_rate": 4.6447380943776575e-05,
1798
+ "loss": 0.3804,
1799
+ "step": 250
1800
+ },
1801
+ {
1802
+ "epoch": 2.049484536082474,
1803
+ "grad_norm": 0.3748043477535248,
1804
+ "learning_rate": 4.56979157678803e-05,
1805
+ "loss": 0.3629,
1806
+ "step": 251
1807
+ },
1808
+ {
1809
+ "epoch": 2.0577319587628864,
1810
+ "grad_norm": 0.325930655002594,
1811
+ "learning_rate": 4.495275153775937e-05,
1812
+ "loss": 0.2997,
1813
+ "step": 252
1814
+ },
1815
+ {
1816
+ "epoch": 2.065979381443299,
1817
+ "grad_norm": 0.3703972399234772,
1818
+ "learning_rate": 4.4211947273449494e-05,
1819
+ "loss": 0.3476,
1820
+ "step": 253
1821
+ },
1822
+ {
1823
+ "epoch": 2.0742268041237115,
1824
+ "grad_norm": 0.3672904670238495,
1825
+ "learning_rate": 4.347556164965934e-05,
1826
+ "loss": 0.3728,
1827
+ "step": 254
1828
+ },
1829
+ {
1830
+ "epoch": 2.082474226804124,
1831
+ "grad_norm": 0.37608975172042847,
1832
+ "learning_rate": 4.274365299112323e-05,
1833
+ "loss": 0.3471,
1834
+ "step": 255
1835
+ },
1836
+ {
1837
+ "epoch": 2.090721649484536,
1838
+ "grad_norm": 0.3415372669696808,
1839
+ "learning_rate": 4.2016279267981664e-05,
1840
+ "loss": 0.3589,
1841
+ "step": 256
1842
+ },
1843
+ {
1844
+ "epoch": 2.0989690721649485,
1845
+ "grad_norm": 0.3874717354774475,
1846
+ "learning_rate": 4.129349809118981e-05,
1847
+ "loss": 0.3728,
1848
+ "step": 257
1849
+ },
1850
+ {
1851
+ "epoch": 2.107216494845361,
1852
+ "grad_norm": 0.3430662155151367,
1853
+ "learning_rate": 4.057536670795459e-05,
1854
+ "loss": 0.3566,
1855
+ "step": 258
1856
+ },
1857
+ {
1858
+ "epoch": 2.1154639175257732,
1859
+ "grad_norm": 0.39854690432548523,
1860
+ "learning_rate": 3.9861941997200245e-05,
1861
+ "loss": 0.4037,
1862
+ "step": 259
1863
+ },
1864
+ {
1865
+ "epoch": 2.1237113402061856,
1866
+ "grad_norm": 0.34778809547424316,
1867
+ "learning_rate": 3.915328046506357e-05,
1868
+ "loss": 0.3291,
1869
+ "step": 260
1870
+ },
1871
+ {
1872
+ "epoch": 2.131958762886598,
1873
+ "grad_norm": 0.383894145488739,
1874
+ "learning_rate": 3.8449438240418134e-05,
1875
+ "loss": 0.3737,
1876
+ "step": 261
1877
+ },
1878
+ {
1879
+ "epoch": 2.1402061855670103,
1880
+ "grad_norm": 0.37021082639694214,
1881
+ "learning_rate": 3.775047107042883e-05,
1882
+ "loss": 0.3602,
1883
+ "step": 262
1884
+ },
1885
+ {
1886
+ "epoch": 2.1484536082474226,
1887
+ "grad_norm": 0.40833646059036255,
1888
+ "learning_rate": 3.705643431613634e-05,
1889
+ "loss": 0.4031,
1890
+ "step": 263
1891
+ },
1892
+ {
1893
+ "epoch": 2.156701030927835,
1894
+ "grad_norm": 0.3483593761920929,
1895
+ "learning_rate": 3.636738294807245e-05,
1896
+ "loss": 0.3332,
1897
+ "step": 264
1898
+ },
1899
+ {
1900
+ "epoch": 2.1649484536082473,
1901
+ "grad_norm": 0.4144445061683655,
1902
+ "learning_rate": 3.568337154190614e-05,
1903
+ "loss": 0.4228,
1904
+ "step": 265
1905
+ },
1906
+ {
1907
+ "epoch": 2.1731958762886596,
1908
+ "grad_norm": 0.37662217020988464,
1909
+ "learning_rate": 3.500445427412077e-05,
1910
+ "loss": 0.3613,
1911
+ "step": 266
1912
+ },
1913
+ {
1914
+ "epoch": 2.181443298969072,
1915
+ "grad_norm": 0.36589595675468445,
1916
+ "learning_rate": 3.433068491772341e-05,
1917
+ "loss": 0.3088,
1918
+ "step": 267
1919
+ },
1920
+ {
1921
+ "epoch": 2.1896907216494848,
1922
+ "grad_norm": 0.37732839584350586,
1923
+ "learning_rate": 3.366211683798549e-05,
1924
+ "loss": 0.3393,
1925
+ "step": 268
1926
+ },
1927
+ {
1928
+ "epoch": 2.197938144329897,
1929
+ "grad_norm": 0.34662479162216187,
1930
+ "learning_rate": 3.299880298821625e-05,
1931
+ "loss": 0.3447,
1932
+ "step": 269
1933
+ },
1934
+ {
1935
+ "epoch": 2.2061855670103094,
1936
+ "grad_norm": 0.3836705982685089,
1937
+ "learning_rate": 3.23407959055685e-05,
1938
+ "loss": 0.3733,
1939
+ "step": 270
1940
+ },
1941
+ {
1942
+ "epoch": 2.2144329896907218,
1943
+ "grad_norm": 0.3639705777168274,
1944
+ "learning_rate": 3.1688147706877666e-05,
1945
+ "loss": 0.3425,
1946
+ "step": 271
1947
+ },
1948
+ {
1949
+ "epoch": 2.222680412371134,
1950
+ "grad_norm": 0.3514609634876251,
1951
+ "learning_rate": 3.1040910084533614e-05,
1952
+ "loss": 0.3195,
1953
+ "step": 272
1954
+ },
1955
+ {
1956
+ "epoch": 2.2309278350515465,
1957
+ "grad_norm": 0.3559933006763458,
1958
+ "learning_rate": 3.039913430238672e-05,
1959
+ "loss": 0.3442,
1960
+ "step": 273
1961
+ },
1962
+ {
1963
+ "epoch": 2.239175257731959,
1964
+ "grad_norm": 0.38752618432044983,
1965
+ "learning_rate": 2.9762871191687313e-05,
1966
+ "loss": 0.3778,
1967
+ "step": 274
1968
+ },
1969
+ {
1970
+ "epoch": 2.247422680412371,
1971
+ "grad_norm": 0.3630293309688568,
1972
+ "learning_rate": 2.913217114705975e-05,
1973
+ "loss": 0.3355,
1974
+ "step": 275
1975
+ },
1976
+ {
1977
+ "epoch": 2.2556701030927835,
1978
+ "grad_norm": 0.3738977015018463,
1979
+ "learning_rate": 2.850708412251103e-05,
1980
+ "loss": 0.3583,
1981
+ "step": 276
1982
+ },
1983
+ {
1984
+ "epoch": 2.263917525773196,
1985
+ "grad_norm": 0.38425007462501526,
1986
+ "learning_rate": 2.7887659627474017e-05,
1987
+ "loss": 0.356,
1988
+ "step": 277
1989
+ },
1990
+ {
1991
+ "epoch": 2.272164948453608,
1992
+ "grad_norm": 0.3420022428035736,
1993
+ "learning_rate": 2.7273946722886366e-05,
1994
+ "loss": 0.3227,
1995
+ "step": 278
1996
+ },
1997
+ {
1998
+ "epoch": 2.2804123711340205,
1999
+ "grad_norm": 0.3774506449699402,
2000
+ "learning_rate": 2.6665994017304407e-05,
2001
+ "loss": 0.3707,
2002
+ "step": 279
2003
+ },
2004
+ {
2005
+ "epoch": 2.288659793814433,
2006
+ "grad_norm": 0.347858190536499,
2007
+ "learning_rate": 2.6063849663053475e-05,
2008
+ "loss": 0.3151,
2009
+ "step": 280
2010
+ },
2011
+ {
2012
+ "epoch": 2.296907216494845,
2013
+ "grad_norm": 0.39050960540771484,
2014
+ "learning_rate": 2.5467561352413648e-05,
2015
+ "loss": 0.3882,
2016
+ "step": 281
2017
+ },
2018
+ {
2019
+ "epoch": 2.3051546391752575,
2020
+ "grad_norm": 0.35410475730895996,
2021
+ "learning_rate": 2.4877176313842753e-05,
2022
+ "loss": 0.3098,
2023
+ "step": 282
2024
+ },
2025
+ {
2026
+ "epoch": 2.31340206185567,
2027
+ "grad_norm": 0.3665927052497864,
2028
+ "learning_rate": 2.4292741308235345e-05,
2029
+ "loss": 0.3504,
2030
+ "step": 283
2031
+ },
2032
+ {
2033
+ "epoch": 2.3216494845360827,
2034
+ "grad_norm": 0.33465299010276794,
2035
+ "learning_rate": 2.3714302625219243e-05,
2036
+ "loss": 0.2926,
2037
+ "step": 284
2038
+ },
2039
+ {
2040
+ "epoch": 2.329896907216495,
2041
+ "grad_norm": 0.4150053560733795,
2042
+ "learning_rate": 2.3141906079489183e-05,
2043
+ "loss": 0.3964,
2044
+ "step": 285
2045
+ },
2046
+ {
2047
+ "epoch": 2.3381443298969073,
2048
+ "grad_norm": 0.33678460121154785,
2049
+ "learning_rate": 2.2575597007177984e-05,
2050
+ "loss": 0.326,
2051
+ "step": 286
2052
+ },
2053
+ {
2054
+ "epoch": 2.3463917525773197,
2055
+ "grad_norm": 0.3581312894821167,
2056
+ "learning_rate": 2.2015420262265863e-05,
2057
+ "loss": 0.3698,
2058
+ "step": 287
2059
+ },
2060
+ {
2061
+ "epoch": 2.354639175257732,
2062
+ "grad_norm": 0.37406647205352783,
2063
+ "learning_rate": 2.1461420213027772e-05,
2064
+ "loss": 0.3661,
2065
+ "step": 288
2066
+ },
2067
+ {
2068
+ "epoch": 2.3628865979381444,
2069
+ "grad_norm": 0.35271313786506653,
2070
+ "learning_rate": 2.0913640738519335e-05,
2071
+ "loss": 0.3609,
2072
+ "step": 289
2073
+ },
2074
+ {
2075
+ "epoch": 2.3711340206185567,
2076
+ "grad_norm": 0.3584725558757782,
2077
+ "learning_rate": 2.0372125225101234e-05,
2078
+ "loss": 0.3293,
2079
+ "step": 290
2080
+ },
2081
+ {
2082
+ "epoch": 2.379381443298969,
2083
+ "grad_norm": 0.4022175073623657,
2084
+ "learning_rate": 1.983691656300314e-05,
2085
+ "loss": 0.3965,
2086
+ "step": 291
2087
+ },
2088
+ {
2089
+ "epoch": 2.3876288659793814,
2090
+ "grad_norm": 0.3425813317298889,
2091
+ "learning_rate": 1.930805714292634e-05,
2092
+ "loss": 0.3163,
2093
+ "step": 292
2094
+ },
2095
+ {
2096
+ "epoch": 2.3958762886597937,
2097
+ "grad_norm": 0.35875558853149414,
2098
+ "learning_rate": 1.8785588852686376e-05,
2099
+ "loss": 0.3114,
2100
+ "step": 293
2101
+ },
2102
+ {
2103
+ "epoch": 2.404123711340206,
2104
+ "grad_norm": 0.35764867067337036,
2105
+ "learning_rate": 1.8269553073895375e-05,
2106
+ "loss": 0.3512,
2107
+ "step": 294
2108
+ },
2109
+ {
2110
+ "epoch": 2.4123711340206184,
2111
+ "grad_norm": 0.3454972505569458,
2112
+ "learning_rate": 1.7759990678684335e-05,
2113
+ "loss": 0.3095,
2114
+ "step": 295
2115
+ },
2116
+ {
2117
+ "epoch": 2.4206185567010308,
2118
+ "grad_norm": 0.3647129535675049,
2119
+ "learning_rate": 1.7256942026466072e-05,
2120
+ "loss": 0.3368,
2121
+ "step": 296
2122
+ },
2123
+ {
2124
+ "epoch": 2.428865979381443,
2125
+ "grad_norm": 0.4362187385559082,
2126
+ "learning_rate": 1.6760446960738364e-05,
2127
+ "loss": 0.4902,
2128
+ "step": 297
2129
+ },
2130
+ {
2131
+ "epoch": 2.437113402061856,
2132
+ "grad_norm": 0.3899203836917877,
2133
+ "learning_rate": 1.6270544805928424e-05,
2134
+ "loss": 0.3338,
2135
+ "step": 298
2136
+ },
2137
+ {
2138
+ "epoch": 2.4453608247422682,
2139
+ "grad_norm": 0.3600149154663086,
2140
+ "learning_rate": 1.5787274364278004e-05,
2141
+ "loss": 0.328,
2142
+ "step": 299
2143
+ },
2144
+ {
2145
+ "epoch": 2.4536082474226806,
2146
+ "grad_norm": 0.37898537516593933,
2147
+ "learning_rate": 1.5310673912770312e-05,
2148
+ "loss": 0.3389,
2149
+ "step": 300
2150
+ },
2151
+ {
2152
+ "epoch": 2.461855670103093,
2153
+ "grad_norm": 0.3836730420589447,
2154
+ "learning_rate": 1.4840781200098152e-05,
2155
+ "loss": 0.3568,
2156
+ "step": 301
2157
+ },
2158
+ {
2159
+ "epoch": 2.4701030927835053,
2160
+ "grad_norm": 0.3963097333908081,
2161
+ "learning_rate": 1.4377633443674233e-05,
2162
+ "loss": 0.3803,
2163
+ "step": 302
2164
+ },
2165
+ {
2166
+ "epoch": 2.4783505154639176,
2167
+ "grad_norm": 0.3930961787700653,
2168
+ "learning_rate": 1.392126732668323e-05,
2169
+ "loss": 0.4055,
2170
+ "step": 303
2171
+ },
2172
+ {
2173
+ "epoch": 2.48659793814433,
2174
+ "grad_norm": 0.35550636053085327,
2175
+ "learning_rate": 1.3471718995176507e-05,
2176
+ "loss": 0.3519,
2177
+ "step": 304
2178
+ },
2179
+ {
2180
+ "epoch": 2.4948453608247423,
2181
+ "grad_norm": 0.387653112411499,
2182
+ "learning_rate": 1.3029024055209015e-05,
2183
+ "loss": 0.3823,
2184
+ "step": 305
2185
+ },
2186
+ {
2187
+ "epoch": 2.4948453608247423,
2188
+ "eval_loss": 0.5238527059555054,
2189
+ "eval_runtime": 297.0109,
2190
+ "eval_samples_per_second": 2.02,
2191
+ "eval_steps_per_second": 1.01,
2192
+ "step": 305
2193
+ },
2194
+ {
2195
+ "epoch": 2.5030927835051546,
2196
+ "grad_norm": 0.3949449360370636,
2197
+ "learning_rate": 1.2593217570019267e-05,
2198
+ "loss": 0.3438,
2199
+ "step": 306
2200
+ },
2201
+ {
2202
+ "epoch": 2.511340206185567,
2203
+ "grad_norm": 0.3976804316043854,
2204
+ "learning_rate": 1.2164334057252203e-05,
2205
+ "loss": 0.3745,
2206
+ "step": 307
2207
+ },
2208
+ {
2209
+ "epoch": 2.5195876288659793,
2210
+ "grad_norm": 0.3557458221912384,
2211
+ "learning_rate": 1.174240748622516e-05,
2212
+ "loss": 0.3153,
2213
+ "step": 308
2214
+ },
2215
+ {
2216
+ "epoch": 2.5278350515463917,
2217
+ "grad_norm": 0.3675740361213684,
2218
+ "learning_rate": 1.1327471275237456e-05,
2219
+ "loss": 0.3308,
2220
+ "step": 309
2221
+ },
2222
+ {
2223
+ "epoch": 2.536082474226804,
2224
+ "grad_norm": 0.37261641025543213,
2225
+ "learning_rate": 1.0919558288923426e-05,
2226
+ "loss": 0.3351,
2227
+ "step": 310
2228
+ },
2229
+ {
2230
+ "epoch": 2.5443298969072163,
2231
+ "grad_norm": 0.3633248507976532,
2232
+ "learning_rate": 1.0518700835649553e-05,
2233
+ "loss": 0.3134,
2234
+ "step": 311
2235
+ },
2236
+ {
2237
+ "epoch": 2.5525773195876287,
2238
+ "grad_norm": 0.4315129816532135,
2239
+ "learning_rate": 1.0124930664955301e-05,
2240
+ "loss": 0.3815,
2241
+ "step": 312
2242
+ },
2243
+ {
2244
+ "epoch": 2.560824742268041,
2245
+ "grad_norm": 0.38921600580215454,
2246
+ "learning_rate": 9.73827896503865e-06,
2247
+ "loss": 0.3801,
2248
+ "step": 313
2249
+ },
2250
+ {
2251
+ "epoch": 2.5690721649484534,
2252
+ "grad_norm": 0.3557523787021637,
2253
+ "learning_rate": 9.358776360285759e-06,
2254
+ "loss": 0.3299,
2255
+ "step": 314
2256
+ },
2257
+ {
2258
+ "epoch": 2.5773195876288657,
2259
+ "grad_norm": 0.4037410318851471,
2260
+ "learning_rate": 8.986452908845322e-06,
2261
+ "loss": 0.3893,
2262
+ "step": 315
2263
+ },
2264
+ {
2265
+ "epoch": 2.5855670103092785,
2266
+ "grad_norm": 0.37199708819389343,
2267
+ "learning_rate": 8.621338100247988e-06,
2268
+ "loss": 0.3183,
2269
+ "step": 316
2270
+ },
2271
+ {
2272
+ "epoch": 2.593814432989691,
2273
+ "grad_norm": 0.3822597563266754,
2274
+ "learning_rate": 8.26346085307057e-06,
2275
+ "loss": 0.3908,
2276
+ "step": 317
2277
+ },
2278
+ {
2279
+ "epoch": 2.602061855670103,
2280
+ "grad_norm": 0.354440301656723,
2281
+ "learning_rate": 7.91284951264557e-06,
2282
+ "loss": 0.3391,
2283
+ "step": 318
2284
+ },
2285
+ {
2286
+ "epoch": 2.6103092783505155,
2287
+ "grad_norm": 0.37611883878707886,
2288
+ "learning_rate": 7.569531848816147e-06,
2289
+ "loss": 0.3647,
2290
+ "step": 319
2291
+ },
2292
+ {
2293
+ "epoch": 2.618556701030928,
2294
+ "grad_norm": 0.3572885990142822,
2295
+ "learning_rate": 7.233535053736706e-06,
2296
+ "loss": 0.3623,
2297
+ "step": 320
2298
+ },
2299
+ {
2300
+ "epoch": 2.62680412371134,
2301
+ "grad_norm": 0.37367528676986694,
2302
+ "learning_rate": 6.90488573971898e-06,
2303
+ "loss": 0.3666,
2304
+ "step": 321
2305
+ },
2306
+ {
2307
+ "epoch": 2.6350515463917525,
2308
+ "grad_norm": 0.37292131781578064,
2309
+ "learning_rate": 6.583609937124435e-06,
2310
+ "loss": 0.3615,
2311
+ "step": 322
2312
+ },
2313
+ {
2314
+ "epoch": 2.643298969072165,
2315
+ "grad_norm": 0.38947710394859314,
2316
+ "learning_rate": 6.269733092302399e-06,
2317
+ "loss": 0.404,
2318
+ "step": 323
2319
+ },
2320
+ {
2321
+ "epoch": 2.6515463917525772,
2322
+ "grad_norm": 0.4026634395122528,
2323
+ "learning_rate": 5.963280065574694e-06,
2324
+ "loss": 0.3609,
2325
+ "step": 324
2326
+ },
2327
+ {
2328
+ "epoch": 2.6597938144329896,
2329
+ "grad_norm": 0.3776322305202484,
2330
+ "learning_rate": 5.664275129266605e-06,
2331
+ "loss": 0.3513,
2332
+ "step": 325
2333
+ },
2334
+ {
2335
+ "epoch": 2.668041237113402,
2336
+ "grad_norm": 0.3595254123210907,
2337
+ "learning_rate": 5.372741965784323e-06,
2338
+ "loss": 0.3285,
2339
+ "step": 326
2340
+ },
2341
+ {
2342
+ "epoch": 2.6762886597938147,
2343
+ "grad_norm": 0.35534557700157166,
2344
+ "learning_rate": 5.088703665739336e-06,
2345
+ "loss": 0.3453,
2346
+ "step": 327
2347
+ },
2348
+ {
2349
+ "epoch": 2.684536082474227,
2350
+ "grad_norm": 0.36769574880599976,
2351
+ "learning_rate": 4.812182726119397e-06,
2352
+ "loss": 0.3498,
2353
+ "step": 328
2354
+ },
2355
+ {
2356
+ "epoch": 2.6927835051546394,
2357
+ "grad_norm": 0.38923129439353943,
2358
+ "learning_rate": 4.543201048506851e-06,
2359
+ "loss": 0.3701,
2360
+ "step": 329
2361
+ },
2362
+ {
2363
+ "epoch": 2.7010309278350517,
2364
+ "grad_norm": 0.36807262897491455,
2365
+ "learning_rate": 4.2817799373437994e-06,
2366
+ "loss": 0.3208,
2367
+ "step": 330
2368
+ },
2369
+ {
2370
+ "epoch": 2.709278350515464,
2371
+ "grad_norm": 0.385692298412323,
2372
+ "learning_rate": 4.027940098244753e-06,
2373
+ "loss": 0.3754,
2374
+ "step": 331
2375
+ },
2376
+ {
2377
+ "epoch": 2.7175257731958764,
2378
+ "grad_norm": 0.3878878653049469,
2379
+ "learning_rate": 3.7817016363566493e-06,
2380
+ "loss": 0.3812,
2381
+ "step": 332
2382
+ },
2383
+ {
2384
+ "epoch": 2.7257731958762887,
2385
+ "grad_norm": 0.3546048104763031,
2386
+ "learning_rate": 3.54308405476651e-06,
2387
+ "loss": 0.314,
2388
+ "step": 333
2389
+ },
2390
+ {
2391
+ "epoch": 2.734020618556701,
2392
+ "grad_norm": 0.39490392804145813,
2393
+ "learning_rate": 3.312106252956626e-06,
2394
+ "loss": 0.3538,
2395
+ "step": 334
2396
+ },
2397
+ {
2398
+ "epoch": 2.7422680412371134,
2399
+ "grad_norm": 0.39301711320877075,
2400
+ "learning_rate": 3.0887865253076632e-06,
2401
+ "loss": 0.3851,
2402
+ "step": 335
2403
+ },
2404
+ {
2405
+ "epoch": 2.7505154639175258,
2406
+ "grad_norm": 0.3987005054950714,
2407
+ "learning_rate": 2.873142559649722e-06,
2408
+ "loss": 0.3945,
2409
+ "step": 336
2410
+ },
2411
+ {
2412
+ "epoch": 2.758762886597938,
2413
+ "grad_norm": 0.377178430557251,
2414
+ "learning_rate": 2.6651914358613252e-06,
2415
+ "loss": 0.3813,
2416
+ "step": 337
2417
+ },
2418
+ {
2419
+ "epoch": 2.7670103092783505,
2420
+ "grad_norm": 0.35405266284942627,
2421
+ "learning_rate": 2.464949624516688e-06,
2422
+ "loss": 0.3046,
2423
+ "step": 338
2424
+ },
2425
+ {
2426
+ "epoch": 2.775257731958763,
2427
+ "grad_norm": 0.3652137219905853,
2428
+ "learning_rate": 2.272432985581119e-06,
2429
+ "loss": 0.3396,
2430
+ "step": 339
2431
+ },
2432
+ {
2433
+ "epoch": 2.783505154639175,
2434
+ "grad_norm": 0.3721199631690979,
2435
+ "learning_rate": 2.0876567671548773e-06,
2436
+ "loss": 0.3039,
2437
+ "step": 340
2438
+ },
2439
+ {
2440
+ "epoch": 2.7917525773195875,
2441
+ "grad_norm": 0.3970593512058258,
2442
+ "learning_rate": 1.910635604265465e-06,
2443
+ "loss": 0.4095,
2444
+ "step": 341
2445
+ },
2446
+ {
2447
+ "epoch": 2.8,
2448
+ "grad_norm": 0.3831520080566406,
2449
+ "learning_rate": 1.7413835177084835e-06,
2450
+ "loss": 0.359,
2451
+ "step": 342
2452
+ },
2453
+ {
2454
+ "epoch": 2.808247422680412,
2455
+ "grad_norm": 0.3413088917732239,
2456
+ "learning_rate": 1.5799139129370588e-06,
2457
+ "loss": 0.3073,
2458
+ "step": 343
2459
+ },
2460
+ {
2461
+ "epoch": 2.8164948453608245,
2462
+ "grad_norm": 0.3681793510913849,
2463
+ "learning_rate": 1.4262395790001881e-06,
2464
+ "loss": 0.3917,
2465
+ "step": 344
2466
+ },
2467
+ {
2468
+ "epoch": 2.824742268041237,
2469
+ "grad_norm": 0.3547656536102295,
2470
+ "learning_rate": 1.2803726875296963e-06,
2471
+ "loss": 0.3308,
2472
+ "step": 345
2473
+ },
2474
+ {
2475
+ "epoch": 2.8329896907216496,
2476
+ "grad_norm": 0.38389670848846436,
2477
+ "learning_rate": 1.142324791776239e-06,
2478
+ "loss": 0.4037,
2479
+ "step": 346
2480
+ },
2481
+ {
2482
+ "epoch": 2.841237113402062,
2483
+ "grad_norm": 0.37809357047080994,
2484
+ "learning_rate": 1.01210682569427e-06,
2485
+ "loss": 0.3697,
2486
+ "step": 347
2487
+ },
2488
+ {
2489
+ "epoch": 2.8494845360824743,
2490
+ "grad_norm": 0.435940146446228,
2491
+ "learning_rate": 8.897291030759314e-07,
2492
+ "loss": 0.3713,
2493
+ "step": 348
2494
+ },
2495
+ {
2496
+ "epoch": 2.8577319587628867,
2497
+ "grad_norm": 0.36410847306251526,
2498
+ "learning_rate": 7.752013167342531e-07,
2499
+ "loss": 0.3464,
2500
+ "step": 349
2501
+ },
2502
+ {
2503
+ "epoch": 2.865979381443299,
2504
+ "grad_norm": 0.3589307963848114,
2505
+ "learning_rate": 6.68532537735389e-07,
2506
+ "loss": 0.3365,
2507
+ "step": 350
2508
+ },
2509
+ {
2510
+ "epoch": 2.8742268041237113,
2511
+ "grad_norm": 0.3795320689678192,
2512
+ "learning_rate": 5.697312146801915e-07,
2513
+ "loss": 0.3551,
2514
+ "step": 351
2515
+ },
2516
+ {
2517
+ "epoch": 2.8824742268041237,
2518
+ "grad_norm": 0.3537892997264862,
2519
+ "learning_rate": 4.788051730349907e-07,
2520
+ "loss": 0.3312,
2521
+ "step": 352
2522
+ },
2523
+ {
2524
+ "epoch": 2.890721649484536,
2525
+ "grad_norm": 0.37003251910209656,
2526
+ "learning_rate": 3.9576161451186923e-07,
2527
+ "loss": 0.365,
2528
+ "step": 353
2529
+ },
2530
+ {
2531
+ "epoch": 2.8989690721649484,
2532
+ "grad_norm": 0.33176755905151367,
2533
+ "learning_rate": 3.2060711649817277e-07,
2534
+ "loss": 0.3017,
2535
+ "step": 354
2536
+ },
2537
+ {
2538
+ "epoch": 2.9072164948453607,
2539
+ "grad_norm": 0.39390304684638977,
2540
+ "learning_rate": 2.5334763153559424e-07,
2541
+ "loss": 0.3607,
2542
+ "step": 355
2543
+ },
2544
+ {
2545
+ "epoch": 2.915463917525773,
2546
+ "grad_norm": 0.35808899998664856,
2547
+ "learning_rate": 1.939884868487174e-07,
2548
+ "loss": 0.3327,
2549
+ "step": 356
2550
+ },
2551
+ {
2552
+ "epoch": 2.923711340206186,
2553
+ "grad_norm": 0.3784313499927521,
2554
+ "learning_rate": 1.4253438392304307e-07,
2555
+ "loss": 0.3194,
2556
+ "step": 357
2557
+ },
2558
+ {
2559
+ "epoch": 2.931958762886598,
2560
+ "grad_norm": 0.3837621808052063,
2561
+ "learning_rate": 9.898939813267616e-08,
2562
+ "loss": 0.3583,
2563
+ "step": 358
2564
+ },
2565
+ {
2566
+ "epoch": 2.9402061855670105,
2567
+ "grad_norm": 0.35086172819137573,
2568
+ "learning_rate": 6.335697841747257e-08,
2569
+ "loss": 0.324,
2570
+ "step": 359
2571
+ },
2572
+ {
2573
+ "epoch": 2.948453608247423,
2574
+ "grad_norm": 0.3730827867984772,
2575
+ "learning_rate": 3.563994700988005e-08,
2576
+ "loss": 0.3437,
2577
+ "step": 360
2578
+ },
2579
+ {
2580
+ "epoch": 2.956701030927835,
2581
+ "grad_norm": 0.32978203892707825,
2582
+ "learning_rate": 1.5840499211439152e-08,
2583
+ "loss": 0.3002,
2584
+ "step": 361
2585
+ },
2586
+ {
2587
+ "epoch": 2.9649484536082475,
2588
+ "grad_norm": 0.39566338062286377,
2589
+ "learning_rate": 3.960203218911218e-09,
2590
+ "loss": 0.3865,
2591
+ "step": 362
2592
+ },
2593
+ {
2594
+ "epoch": 2.97319587628866,
2595
+ "grad_norm": 0.3649386465549469,
2596
+ "learning_rate": 0.0,
2597
+ "loss": 0.3111,
2598
+ "step": 363
2599
+ }
2600
+ ],
2601
+ "logging_steps": 1,
2602
+ "max_steps": 363,
2603
+ "num_input_tokens_seen": 0,
2604
+ "num_train_epochs": 3,
2605
+ "save_steps": 500,
2606
+ "stateful_callbacks": {
2607
+ "TrainerControl": {
2608
+ "args": {
2609
+ "should_epoch_stop": false,
2610
+ "should_evaluate": false,
2611
+ "should_log": false,
2612
+ "should_save": true,
2613
+ "should_training_stop": true
2614
+ },
2615
+ "attributes": {}
2616
+ }
2617
+ },
2618
+ "total_flos": 4.8645179782987776e+17,
2619
+ "train_batch_size": 2,
2620
+ "trial_name": null,
2621
+ "trial_params": null
2622
+ }
checkpoint-363/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d23347720fcedccdf3942b31a5d806170f6526f17780275a18c9af10a878379e
3
+ size 6072