whiteapple8222 commited on
Commit
38c3771
·
verified ·
1 Parent(s): 3caf9ac

Training in progress, step 341, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/OpenHermes-2.5-Mistral-7B
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.2
last-checkpoint/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "unsloth/OpenHermes-2.5-Mistral-7B",
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": null,
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "gate_proj",
24
+ "o_proj",
25
+ "down_proj",
26
+ "up_proj",
27
+ "k_proj",
28
+ "v_proj",
29
+ "q_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:669a93a7a599d147ac68d4e0cd4acfda8ad8db9f83a76565f9a7cbec3d5822cf
3
+ size 83945296
last-checkpoint/added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<|im_end|>": 32000,
3
+ "<|im_start|>": 32001
4
+ }
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b4e78b8cbbc492e035ec231795143bd705d58ffccf9c6af9264d03f3d598018d
3
+ size 43123028
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec6897e825191b0a80051b1e34fb6ced22b692c5c07df5bd607896b8ec6078eb
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5b0bb58a6976151803bee01b02feadab21639b27a6d2d75a55682622d20ee556
3
+ size 1064
last-checkpoint/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": "<|im_end|>",
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": false,
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
+ }
last-checkpoint/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "<|im_end|>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ },
38
+ "32001": {
39
+ "content": "<|im_start|>",
40
+ "lstrip": false,
41
+ "normalized": false,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": true
45
+ }
46
+ },
47
+ "additional_special_tokens": [],
48
+ "bos_token": "<s>",
49
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
50
+ "clean_up_tokenization_spaces": false,
51
+ "eos_token": "<|im_end|>",
52
+ "legacy": true,
53
+ "model_max_length": 32768,
54
+ "pad_token": "<unk>",
55
+ "padding_side": "right",
56
+ "sp_model_kwargs": {},
57
+ "spaces_between_special_tokens": false,
58
+ "tokenizer_class": "LlamaTokenizer",
59
+ "trust_remote_code": false,
60
+ "unk_token": "<unk>",
61
+ "use_default_system_prompt": true,
62
+ "use_fast": true
63
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,2436 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.0668693009118541,
5
+ "eval_steps": 341,
6
+ "global_step": 341,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.00019609765663300324,
13
+ "grad_norm": 18.01366424560547,
14
+ "learning_rate": 2e-05,
15
+ "loss": 3.0843,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.00019609765663300324,
20
+ "eval_loss": 1.1017773151397705,
21
+ "eval_runtime": 79.0856,
22
+ "eval_samples_per_second": 27.16,
23
+ "eval_steps_per_second": 13.58,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.0003921953132660065,
28
+ "grad_norm": 16.80318260192871,
29
+ "learning_rate": 4e-05,
30
+ "loss": 3.2221,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.0005882929698990097,
35
+ "grad_norm": 16.65929412841797,
36
+ "learning_rate": 6e-05,
37
+ "loss": 3.8956,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.000784390626532013,
42
+ "grad_norm": 37.782188415527344,
43
+ "learning_rate": 8e-05,
44
+ "loss": 5.185,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.0009804882831650162,
49
+ "grad_norm": 19.226940155029297,
50
+ "learning_rate": 0.0001,
51
+ "loss": 3.1542,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.0011765859397980193,
56
+ "grad_norm": 26.570402145385742,
57
+ "learning_rate": 0.00012,
58
+ "loss": 4.5356,
59
+ "step": 6
60
+ },
61
+ {
62
+ "epoch": 0.0013726835964310226,
63
+ "grad_norm": 22.43348503112793,
64
+ "learning_rate": 0.00014,
65
+ "loss": 3.8177,
66
+ "step": 7
67
+ },
68
+ {
69
+ "epoch": 0.001568781253064026,
70
+ "grad_norm": 29.817941665649414,
71
+ "learning_rate": 0.00016,
72
+ "loss": 4.4013,
73
+ "step": 8
74
+ },
75
+ {
76
+ "epoch": 0.0017648789096970292,
77
+ "grad_norm": 18.46044158935547,
78
+ "learning_rate": 0.00018,
79
+ "loss": 3.374,
80
+ "step": 9
81
+ },
82
+ {
83
+ "epoch": 0.0019609765663300325,
84
+ "grad_norm": 24.337013244628906,
85
+ "learning_rate": 0.0002,
86
+ "loss": 3.2509,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.0021570742229630358,
91
+ "grad_norm": 18.9931640625,
92
+ "learning_rate": 0.00019999972962977903,
93
+ "loss": 2.933,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.0023531718795960386,
98
+ "grad_norm": 17.7039852142334,
99
+ "learning_rate": 0.00019999891852057812,
100
+ "loss": 3.2867,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.002549269536229042,
105
+ "grad_norm": 15.128417015075684,
106
+ "learning_rate": 0.0001999975666767833,
107
+ "loss": 2.2303,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.002745367192862045,
112
+ "grad_norm": 8.747583389282227,
113
+ "learning_rate": 0.00019999567410570446,
114
+ "loss": 1.7348,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.0029414648494950485,
119
+ "grad_norm": 20.570377349853516,
120
+ "learning_rate": 0.00019999324081757555,
121
+ "loss": 3.9284,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.003137562506128052,
126
+ "grad_norm": 7.86672306060791,
127
+ "learning_rate": 0.00019999026682555434,
128
+ "loss": 1.8121,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.003333660162761055,
133
+ "grad_norm": 10.341567039489746,
134
+ "learning_rate": 0.0001999867521457224,
135
+ "loss": 1.5864,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.0035297578193940584,
140
+ "grad_norm": 7.888909339904785,
141
+ "learning_rate": 0.00019998269679708504,
142
+ "loss": 3.1584,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.0037258554760270617,
147
+ "grad_norm": 15.346771240234375,
148
+ "learning_rate": 0.00019997810080157113,
149
+ "loss": 2.0858,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.003921953132660065,
154
+ "grad_norm": 11.417168617248535,
155
+ "learning_rate": 0.0001999729641840331,
156
+ "loss": 3.5646,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.004118050789293068,
161
+ "grad_norm": 12.86220932006836,
162
+ "learning_rate": 0.00019996728697224675,
163
+ "loss": 3.0594,
164
+ "step": 21
165
+ },
166
+ {
167
+ "epoch": 0.0043141484459260715,
168
+ "grad_norm": 7.418736457824707,
169
+ "learning_rate": 0.00019996106919691102,
170
+ "loss": 2.1349,
171
+ "step": 22
172
+ },
173
+ {
174
+ "epoch": 0.004510246102559075,
175
+ "grad_norm": 4.803528308868408,
176
+ "learning_rate": 0.00019995431089164795,
177
+ "loss": 2.3151,
178
+ "step": 23
179
+ },
180
+ {
181
+ "epoch": 0.004706343759192077,
182
+ "grad_norm": 8.667632102966309,
183
+ "learning_rate": 0.00019994701209300245,
184
+ "loss": 1.6791,
185
+ "step": 24
186
+ },
187
+ {
188
+ "epoch": 0.0049024414158250805,
189
+ "grad_norm": 5.3950724601745605,
190
+ "learning_rate": 0.00019993917284044202,
191
+ "loss": 2.7265,
192
+ "step": 25
193
+ },
194
+ {
195
+ "epoch": 0.005098539072458084,
196
+ "grad_norm": 18.16863441467285,
197
+ "learning_rate": 0.0001999307931763567,
198
+ "loss": 1.7289,
199
+ "step": 26
200
+ },
201
+ {
202
+ "epoch": 0.005294636729091087,
203
+ "grad_norm": 10.66887378692627,
204
+ "learning_rate": 0.00019992187314605872,
205
+ "loss": 2.645,
206
+ "step": 27
207
+ },
208
+ {
209
+ "epoch": 0.00549073438572409,
210
+ "grad_norm": 26.42878532409668,
211
+ "learning_rate": 0.00019991241279778232,
212
+ "loss": 3.4603,
213
+ "step": 28
214
+ },
215
+ {
216
+ "epoch": 0.005686832042357094,
217
+ "grad_norm": 10.017987251281738,
218
+ "learning_rate": 0.0001999024121826834,
219
+ "loss": 1.2001,
220
+ "step": 29
221
+ },
222
+ {
223
+ "epoch": 0.005882929698990097,
224
+ "grad_norm": 11.155564308166504,
225
+ "learning_rate": 0.00019989187135483933,
226
+ "loss": 1.5102,
227
+ "step": 30
228
+ },
229
+ {
230
+ "epoch": 0.0060790273556231,
231
+ "grad_norm": 3.7590131759643555,
232
+ "learning_rate": 0.00019988079037124864,
233
+ "loss": 1.0619,
234
+ "step": 31
235
+ },
236
+ {
237
+ "epoch": 0.006275125012256104,
238
+ "grad_norm": 8.47985553741455,
239
+ "learning_rate": 0.00019986916929183067,
240
+ "loss": 2.6256,
241
+ "step": 32
242
+ },
243
+ {
244
+ "epoch": 0.006471222668889107,
245
+ "grad_norm": 16.655269622802734,
246
+ "learning_rate": 0.00019985700817942533,
247
+ "loss": 2.2039,
248
+ "step": 33
249
+ },
250
+ {
251
+ "epoch": 0.00666732032552211,
252
+ "grad_norm": 9.003829956054688,
253
+ "learning_rate": 0.00019984430709979264,
254
+ "loss": 1.7281,
255
+ "step": 34
256
+ },
257
+ {
258
+ "epoch": 0.0068634179821551134,
259
+ "grad_norm": 36.33080291748047,
260
+ "learning_rate": 0.0001998310661216125,
261
+ "loss": 3.0575,
262
+ "step": 35
263
+ },
264
+ {
265
+ "epoch": 0.007059515638788117,
266
+ "grad_norm": 11.909663200378418,
267
+ "learning_rate": 0.00019981728531648423,
268
+ "loss": 1.9623,
269
+ "step": 36
270
+ },
271
+ {
272
+ "epoch": 0.00725561329542112,
273
+ "grad_norm": 10.967493057250977,
274
+ "learning_rate": 0.00019980296475892616,
275
+ "loss": 2.8071,
276
+ "step": 37
277
+ },
278
+ {
279
+ "epoch": 0.007451710952054123,
280
+ "grad_norm": 11.050918579101562,
281
+ "learning_rate": 0.00019978810452637543,
282
+ "loss": 1.8019,
283
+ "step": 38
284
+ },
285
+ {
286
+ "epoch": 0.007647808608687127,
287
+ "grad_norm": 17.752105712890625,
288
+ "learning_rate": 0.00019977270469918727,
289
+ "loss": 3.0332,
290
+ "step": 39
291
+ },
292
+ {
293
+ "epoch": 0.00784390626532013,
294
+ "grad_norm": 6.67478609085083,
295
+ "learning_rate": 0.0001997567653606348,
296
+ "loss": 1.32,
297
+ "step": 40
298
+ },
299
+ {
300
+ "epoch": 0.008040003921953132,
301
+ "grad_norm": 7.402947902679443,
302
+ "learning_rate": 0.00019974028659690843,
303
+ "loss": 1.4442,
304
+ "step": 41
305
+ },
306
+ {
307
+ "epoch": 0.008236101578586136,
308
+ "grad_norm": 13.006294250488281,
309
+ "learning_rate": 0.00019972326849711553,
310
+ "loss": 2.2418,
311
+ "step": 42
312
+ },
313
+ {
314
+ "epoch": 0.008432199235219139,
315
+ "grad_norm": 5.940983295440674,
316
+ "learning_rate": 0.00019970571115327985,
317
+ "loss": 0.9049,
318
+ "step": 43
319
+ },
320
+ {
321
+ "epoch": 0.008628296891852143,
322
+ "grad_norm": 9.866477012634277,
323
+ "learning_rate": 0.00019968761466034103,
324
+ "loss": 2.7203,
325
+ "step": 44
326
+ },
327
+ {
328
+ "epoch": 0.008824394548485145,
329
+ "grad_norm": 8.239157676696777,
330
+ "learning_rate": 0.00019966897911615416,
331
+ "loss": 1.9653,
332
+ "step": 45
333
+ },
334
+ {
335
+ "epoch": 0.00902049220511815,
336
+ "grad_norm": 16.142181396484375,
337
+ "learning_rate": 0.0001996498046214891,
338
+ "loss": 2.7509,
339
+ "step": 46
340
+ },
341
+ {
342
+ "epoch": 0.009216589861751152,
343
+ "grad_norm": 9.295431137084961,
344
+ "learning_rate": 0.00019963009128003018,
345
+ "loss": 2.0133,
346
+ "step": 47
347
+ },
348
+ {
349
+ "epoch": 0.009412687518384154,
350
+ "grad_norm": 10.362130165100098,
351
+ "learning_rate": 0.00019960983919837535,
352
+ "loss": 1.716,
353
+ "step": 48
354
+ },
355
+ {
356
+ "epoch": 0.009608785175017159,
357
+ "grad_norm": 28.2889461517334,
358
+ "learning_rate": 0.00019958904848603584,
359
+ "loss": 2.8961,
360
+ "step": 49
361
+ },
362
+ {
363
+ "epoch": 0.009804882831650161,
364
+ "grad_norm": 13.199325561523438,
365
+ "learning_rate": 0.0001995677192554354,
366
+ "loss": 2.62,
367
+ "step": 50
368
+ },
369
+ {
370
+ "epoch": 0.010000980488283165,
371
+ "grad_norm": 11.95132827758789,
372
+ "learning_rate": 0.00019954585162190985,
373
+ "loss": 2.792,
374
+ "step": 51
375
+ },
376
+ {
377
+ "epoch": 0.010197078144916168,
378
+ "grad_norm": 16.581575393676758,
379
+ "learning_rate": 0.0001995234457037063,
380
+ "loss": 2.7239,
381
+ "step": 52
382
+ },
383
+ {
384
+ "epoch": 0.010393175801549172,
385
+ "grad_norm": 12.048559188842773,
386
+ "learning_rate": 0.00019950050162198258,
387
+ "loss": 1.9892,
388
+ "step": 53
389
+ },
390
+ {
391
+ "epoch": 0.010589273458182174,
392
+ "grad_norm": 9.297942161560059,
393
+ "learning_rate": 0.00019947701950080672,
394
+ "loss": 1.8015,
395
+ "step": 54
396
+ },
397
+ {
398
+ "epoch": 0.010785371114815178,
399
+ "grad_norm": 6.09962797164917,
400
+ "learning_rate": 0.00019945299946715596,
401
+ "loss": 1.1493,
402
+ "step": 55
403
+ },
404
+ {
405
+ "epoch": 0.01098146877144818,
406
+ "grad_norm": 6.668224811553955,
407
+ "learning_rate": 0.00019942844165091633,
408
+ "loss": 0.9968,
409
+ "step": 56
410
+ },
411
+ {
412
+ "epoch": 0.011177566428081185,
413
+ "grad_norm": 17.000507354736328,
414
+ "learning_rate": 0.00019940334618488194,
415
+ "loss": 1.5857,
416
+ "step": 57
417
+ },
418
+ {
419
+ "epoch": 0.011373664084714187,
420
+ "grad_norm": 11.42551326751709,
421
+ "learning_rate": 0.00019937771320475406,
422
+ "loss": 1.5236,
423
+ "step": 58
424
+ },
425
+ {
426
+ "epoch": 0.011569761741347192,
427
+ "grad_norm": 13.255271911621094,
428
+ "learning_rate": 0.00019935154284914065,
429
+ "loss": 1.6174,
430
+ "step": 59
431
+ },
432
+ {
433
+ "epoch": 0.011765859397980194,
434
+ "grad_norm": 12.664427757263184,
435
+ "learning_rate": 0.00019932483525955533,
436
+ "loss": 1.476,
437
+ "step": 60
438
+ },
439
+ {
440
+ "epoch": 0.011961957054613198,
441
+ "grad_norm": 19.540660858154297,
442
+ "learning_rate": 0.00019929759058041687,
443
+ "loss": 1.5251,
444
+ "step": 61
445
+ },
446
+ {
447
+ "epoch": 0.0121580547112462,
448
+ "grad_norm": 10.44942855834961,
449
+ "learning_rate": 0.0001992698089590483,
450
+ "loss": 1.7865,
451
+ "step": 62
452
+ },
453
+ {
454
+ "epoch": 0.012354152367879203,
455
+ "grad_norm": 13.294017791748047,
456
+ "learning_rate": 0.00019924149054567606,
457
+ "loss": 4.1284,
458
+ "step": 63
459
+ },
460
+ {
461
+ "epoch": 0.012550250024512207,
462
+ "grad_norm": 13.700861930847168,
463
+ "learning_rate": 0.00019921263549342922,
464
+ "loss": 2.8987,
465
+ "step": 64
466
+ },
467
+ {
468
+ "epoch": 0.01274634768114521,
469
+ "grad_norm": 51.7520866394043,
470
+ "learning_rate": 0.00019918324395833877,
471
+ "loss": 1.7335,
472
+ "step": 65
473
+ },
474
+ {
475
+ "epoch": 0.012942445337778214,
476
+ "grad_norm": 25.415748596191406,
477
+ "learning_rate": 0.00019915331609933657,
478
+ "loss": 2.6131,
479
+ "step": 66
480
+ },
481
+ {
482
+ "epoch": 0.013138542994411216,
483
+ "grad_norm": 10.575088500976562,
484
+ "learning_rate": 0.00019912285207825475,
485
+ "loss": 1.202,
486
+ "step": 67
487
+ },
488
+ {
489
+ "epoch": 0.01333464065104422,
490
+ "grad_norm": 7.0860772132873535,
491
+ "learning_rate": 0.00019909185205982453,
492
+ "loss": 1.5077,
493
+ "step": 68
494
+ },
495
+ {
496
+ "epoch": 0.013530738307677223,
497
+ "grad_norm": 8.169393539428711,
498
+ "learning_rate": 0.00019906031621167553,
499
+ "loss": 2.4139,
500
+ "step": 69
501
+ },
502
+ {
503
+ "epoch": 0.013726835964310227,
504
+ "grad_norm": 15.750587463378906,
505
+ "learning_rate": 0.00019902824470433489,
506
+ "loss": 2.8999,
507
+ "step": 70
508
+ },
509
+ {
510
+ "epoch": 0.01392293362094323,
511
+ "grad_norm": 19.615734100341797,
512
+ "learning_rate": 0.00019899563771122618,
513
+ "loss": 3.3154,
514
+ "step": 71
515
+ },
516
+ {
517
+ "epoch": 0.014119031277576233,
518
+ "grad_norm": 24.015810012817383,
519
+ "learning_rate": 0.0001989624954086686,
520
+ "loss": 2.6689,
521
+ "step": 72
522
+ },
523
+ {
524
+ "epoch": 0.014315128934209236,
525
+ "grad_norm": 7.955759525299072,
526
+ "learning_rate": 0.00019892881797587601,
527
+ "loss": 1.8847,
528
+ "step": 73
529
+ },
530
+ {
531
+ "epoch": 0.01451122659084224,
532
+ "grad_norm": 13.804747581481934,
533
+ "learning_rate": 0.00019889460559495588,
534
+ "loss": 2.2221,
535
+ "step": 74
536
+ },
537
+ {
538
+ "epoch": 0.014707324247475242,
539
+ "grad_norm": 19.74148941040039,
540
+ "learning_rate": 0.0001988598584509084,
541
+ "loss": 1.9316,
542
+ "step": 75
543
+ },
544
+ {
545
+ "epoch": 0.014903421904108247,
546
+ "grad_norm": 7.9701385498046875,
547
+ "learning_rate": 0.00019882457673162543,
548
+ "loss": 2.1958,
549
+ "step": 76
550
+ },
551
+ {
552
+ "epoch": 0.015099519560741249,
553
+ "grad_norm": 4.7594170570373535,
554
+ "learning_rate": 0.00019878876062788954,
555
+ "loss": 1.3551,
556
+ "step": 77
557
+ },
558
+ {
559
+ "epoch": 0.015295617217374253,
560
+ "grad_norm": 7.796854496002197,
561
+ "learning_rate": 0.0001987524103333728,
562
+ "loss": 2.616,
563
+ "step": 78
564
+ },
565
+ {
566
+ "epoch": 0.015491714874007256,
567
+ "grad_norm": 6.997422218322754,
568
+ "learning_rate": 0.00019871552604463602,
569
+ "loss": 2.908,
570
+ "step": 79
571
+ },
572
+ {
573
+ "epoch": 0.01568781253064026,
574
+ "grad_norm": 6.436347484588623,
575
+ "learning_rate": 0.00019867810796112744,
576
+ "loss": 3.6826,
577
+ "step": 80
578
+ },
579
+ {
580
+ "epoch": 0.01588391018727326,
581
+ "grad_norm": 10.243407249450684,
582
+ "learning_rate": 0.00019864015628518175,
583
+ "loss": 1.3711,
584
+ "step": 81
585
+ },
586
+ {
587
+ "epoch": 0.016080007843906265,
588
+ "grad_norm": 11.830530166625977,
589
+ "learning_rate": 0.00019860167122201904,
590
+ "loss": 2.2325,
591
+ "step": 82
592
+ },
593
+ {
594
+ "epoch": 0.01627610550053927,
595
+ "grad_norm": 7.456768989562988,
596
+ "learning_rate": 0.0001985626529797436,
597
+ "loss": 1.9991,
598
+ "step": 83
599
+ },
600
+ {
601
+ "epoch": 0.016472203157172273,
602
+ "grad_norm": 50.91776657104492,
603
+ "learning_rate": 0.00019852310176934288,
604
+ "loss": 1.294,
605
+ "step": 84
606
+ },
607
+ {
608
+ "epoch": 0.016668300813805274,
609
+ "grad_norm": 6.4661054611206055,
610
+ "learning_rate": 0.00019848301780468622,
611
+ "loss": 2.4052,
612
+ "step": 85
613
+ },
614
+ {
615
+ "epoch": 0.016864398470438278,
616
+ "grad_norm": 5.4749674797058105,
617
+ "learning_rate": 0.00019844240130252385,
618
+ "loss": 2.1508,
619
+ "step": 86
620
+ },
621
+ {
622
+ "epoch": 0.017060496127071282,
623
+ "grad_norm": 9.457857131958008,
624
+ "learning_rate": 0.00019840125248248564,
625
+ "loss": 2.1732,
626
+ "step": 87
627
+ },
628
+ {
629
+ "epoch": 0.017256593783704286,
630
+ "grad_norm": 6.932736396789551,
631
+ "learning_rate": 0.00019835957156707988,
632
+ "loss": 1.0618,
633
+ "step": 88
634
+ },
635
+ {
636
+ "epoch": 0.017452691440337287,
637
+ "grad_norm": 10.447488784790039,
638
+ "learning_rate": 0.00019831735878169212,
639
+ "loss": 1.1214,
640
+ "step": 89
641
+ },
642
+ {
643
+ "epoch": 0.01764878909697029,
644
+ "grad_norm": 7.159199237823486,
645
+ "learning_rate": 0.000198274614354584,
646
+ "loss": 2.495,
647
+ "step": 90
648
+ },
649
+ {
650
+ "epoch": 0.017844886753603295,
651
+ "grad_norm": 8.753946304321289,
652
+ "learning_rate": 0.00019823133851689187,
653
+ "loss": 2.343,
654
+ "step": 91
655
+ },
656
+ {
657
+ "epoch": 0.0180409844102363,
658
+ "grad_norm": 9.124870300292969,
659
+ "learning_rate": 0.00019818753150262574,
660
+ "loss": 1.6556,
661
+ "step": 92
662
+ },
663
+ {
664
+ "epoch": 0.0182370820668693,
665
+ "grad_norm": 5.470896244049072,
666
+ "learning_rate": 0.00019814319354866786,
667
+ "loss": 1.2787,
668
+ "step": 93
669
+ },
670
+ {
671
+ "epoch": 0.018433179723502304,
672
+ "grad_norm": 8.39749526977539,
673
+ "learning_rate": 0.00019809832489477142,
674
+ "loss": 1.6804,
675
+ "step": 94
676
+ },
677
+ {
678
+ "epoch": 0.01862927738013531,
679
+ "grad_norm": 6.869524955749512,
680
+ "learning_rate": 0.0001980529257835594,
681
+ "loss": 1.6563,
682
+ "step": 95
683
+ },
684
+ {
685
+ "epoch": 0.01882537503676831,
686
+ "grad_norm": 11.144633293151855,
687
+ "learning_rate": 0.0001980069964605232,
688
+ "loss": 1.9428,
689
+ "step": 96
690
+ },
691
+ {
692
+ "epoch": 0.019021472693401313,
693
+ "grad_norm": 11.564960479736328,
694
+ "learning_rate": 0.00019796053717402118,
695
+ "loss": 2.2905,
696
+ "step": 97
697
+ },
698
+ {
699
+ "epoch": 0.019217570350034317,
700
+ "grad_norm": 4.628671169281006,
701
+ "learning_rate": 0.00019791354817527755,
702
+ "loss": 1.0654,
703
+ "step": 98
704
+ },
705
+ {
706
+ "epoch": 0.01941366800666732,
707
+ "grad_norm": 15.970938682556152,
708
+ "learning_rate": 0.00019786602971838074,
709
+ "loss": 2.9314,
710
+ "step": 99
711
+ },
712
+ {
713
+ "epoch": 0.019609765663300322,
714
+ "grad_norm": 5.425403594970703,
715
+ "learning_rate": 0.00019781798206028239,
716
+ "loss": 1.7236,
717
+ "step": 100
718
+ },
719
+ {
720
+ "epoch": 0.019805863319933326,
721
+ "grad_norm": 5.114929676055908,
722
+ "learning_rate": 0.0001977694054607955,
723
+ "loss": 2.1674,
724
+ "step": 101
725
+ },
726
+ {
727
+ "epoch": 0.02000196097656633,
728
+ "grad_norm": 9.564162254333496,
729
+ "learning_rate": 0.0001977203001825935,
730
+ "loss": 2.3091,
731
+ "step": 102
732
+ },
733
+ {
734
+ "epoch": 0.020198058633199335,
735
+ "grad_norm": 7.184217929840088,
736
+ "learning_rate": 0.00019767066649120838,
737
+ "loss": 2.5231,
738
+ "step": 103
739
+ },
740
+ {
741
+ "epoch": 0.020394156289832335,
742
+ "grad_norm": 8.926065444946289,
743
+ "learning_rate": 0.00019762050465502965,
744
+ "loss": 1.3343,
745
+ "step": 104
746
+ },
747
+ {
748
+ "epoch": 0.02059025394646534,
749
+ "grad_norm": 5.511591911315918,
750
+ "learning_rate": 0.0001975698149453026,
751
+ "loss": 1.7055,
752
+ "step": 105
753
+ },
754
+ {
755
+ "epoch": 0.020786351603098344,
756
+ "grad_norm": 8.730749130249023,
757
+ "learning_rate": 0.00019751859763612704,
758
+ "loss": 1.7862,
759
+ "step": 106
760
+ },
761
+ {
762
+ "epoch": 0.020982449259731348,
763
+ "grad_norm": 10.519305229187012,
764
+ "learning_rate": 0.00019746685300445565,
765
+ "loss": 1.9938,
766
+ "step": 107
767
+ },
768
+ {
769
+ "epoch": 0.02117854691636435,
770
+ "grad_norm": 6.307378768920898,
771
+ "learning_rate": 0.00019741458133009258,
772
+ "loss": 1.5184,
773
+ "step": 108
774
+ },
775
+ {
776
+ "epoch": 0.021374644572997353,
777
+ "grad_norm": 10.66562557220459,
778
+ "learning_rate": 0.00019736178289569186,
779
+ "loss": 2.0555,
780
+ "step": 109
781
+ },
782
+ {
783
+ "epoch": 0.021570742229630357,
784
+ "grad_norm": 6.235299587249756,
785
+ "learning_rate": 0.0001973084579867561,
786
+ "loss": 1.4547,
787
+ "step": 110
788
+ },
789
+ {
790
+ "epoch": 0.021766839886263357,
791
+ "grad_norm": 12.061420440673828,
792
+ "learning_rate": 0.00019725460689163455,
793
+ "loss": 1.9823,
794
+ "step": 111
795
+ },
796
+ {
797
+ "epoch": 0.02196293754289636,
798
+ "grad_norm": 8.891043663024902,
799
+ "learning_rate": 0.0001972002299015219,
800
+ "loss": 2.4757,
801
+ "step": 112
802
+ },
803
+ {
804
+ "epoch": 0.022159035199529366,
805
+ "grad_norm": 8.200632095336914,
806
+ "learning_rate": 0.00019714532731045649,
807
+ "loss": 1.4906,
808
+ "step": 113
809
+ },
810
+ {
811
+ "epoch": 0.02235513285616237,
812
+ "grad_norm": 8.106672286987305,
813
+ "learning_rate": 0.00019708989941531887,
814
+ "loss": 0.8863,
815
+ "step": 114
816
+ },
817
+ {
818
+ "epoch": 0.02255123051279537,
819
+ "grad_norm": 6.451066493988037,
820
+ "learning_rate": 0.0001970339465158301,
821
+ "loss": 2.1244,
822
+ "step": 115
823
+ },
824
+ {
825
+ "epoch": 0.022747328169428375,
826
+ "grad_norm": 6.3670220375061035,
827
+ "learning_rate": 0.0001969774689145501,
828
+ "loss": 1.3732,
829
+ "step": 116
830
+ },
831
+ {
832
+ "epoch": 0.02294342582606138,
833
+ "grad_norm": 6.401678562164307,
834
+ "learning_rate": 0.0001969204669168761,
835
+ "loss": 1.3963,
836
+ "step": 117
837
+ },
838
+ {
839
+ "epoch": 0.023139523482694383,
840
+ "grad_norm": 6.917253494262695,
841
+ "learning_rate": 0.00019686294083104094,
842
+ "loss": 1.3802,
843
+ "step": 118
844
+ },
845
+ {
846
+ "epoch": 0.023335621139327384,
847
+ "grad_norm": 4.852232456207275,
848
+ "learning_rate": 0.00019680489096811149,
849
+ "loss": 0.7538,
850
+ "step": 119
851
+ },
852
+ {
853
+ "epoch": 0.023531718795960388,
854
+ "grad_norm": 5.08411169052124,
855
+ "learning_rate": 0.00019674631764198677,
856
+ "loss": 1.5128,
857
+ "step": 120
858
+ },
859
+ {
860
+ "epoch": 0.023727816452593392,
861
+ "grad_norm": 13.64840316772461,
862
+ "learning_rate": 0.00019668722116939649,
863
+ "loss": 1.2718,
864
+ "step": 121
865
+ },
866
+ {
867
+ "epoch": 0.023923914109226396,
868
+ "grad_norm": 7.075209617614746,
869
+ "learning_rate": 0.00019662760186989913,
870
+ "loss": 2.4186,
871
+ "step": 122
872
+ },
873
+ {
874
+ "epoch": 0.024120011765859397,
875
+ "grad_norm": 12.186111450195312,
876
+ "learning_rate": 0.00019656746006588044,
877
+ "loss": 2.8495,
878
+ "step": 123
879
+ },
880
+ {
881
+ "epoch": 0.0243161094224924,
882
+ "grad_norm": 13.221094131469727,
883
+ "learning_rate": 0.00019650679608255138,
884
+ "loss": 1.1832,
885
+ "step": 124
886
+ },
887
+ {
888
+ "epoch": 0.024512207079125405,
889
+ "grad_norm": 4.765728950500488,
890
+ "learning_rate": 0.0001964456102479467,
891
+ "loss": 1.1407,
892
+ "step": 125
893
+ },
894
+ {
895
+ "epoch": 0.024708304735758406,
896
+ "grad_norm": 4.750761032104492,
897
+ "learning_rate": 0.00019638390289292295,
898
+ "loss": 1.1096,
899
+ "step": 126
900
+ },
901
+ {
902
+ "epoch": 0.02490440239239141,
903
+ "grad_norm": 5.133049011230469,
904
+ "learning_rate": 0.0001963216743511567,
905
+ "loss": 2.6525,
906
+ "step": 127
907
+ },
908
+ {
909
+ "epoch": 0.025100500049024414,
910
+ "grad_norm": 14.541696548461914,
911
+ "learning_rate": 0.0001962589249591429,
912
+ "loss": 3.3739,
913
+ "step": 128
914
+ },
915
+ {
916
+ "epoch": 0.02529659770565742,
917
+ "grad_norm": 7.252123832702637,
918
+ "learning_rate": 0.00019619565505619288,
919
+ "loss": 2.0899,
920
+ "step": 129
921
+ },
922
+ {
923
+ "epoch": 0.02549269536229042,
924
+ "grad_norm": 7.14664888381958,
925
+ "learning_rate": 0.00019613186498443257,
926
+ "loss": 1.4538,
927
+ "step": 130
928
+ },
929
+ {
930
+ "epoch": 0.025688793018923423,
931
+ "grad_norm": 7.936334609985352,
932
+ "learning_rate": 0.0001960675550888007,
933
+ "loss": 1.351,
934
+ "step": 131
935
+ },
936
+ {
937
+ "epoch": 0.025884890675556427,
938
+ "grad_norm": 7.465827465057373,
939
+ "learning_rate": 0.00019600272571704687,
940
+ "loss": 1.0752,
941
+ "step": 132
942
+ },
943
+ {
944
+ "epoch": 0.02608098833218943,
945
+ "grad_norm": 12.85190486907959,
946
+ "learning_rate": 0.00019593737721972977,
947
+ "loss": 2.5674,
948
+ "step": 133
949
+ },
950
+ {
951
+ "epoch": 0.026277085988822432,
952
+ "grad_norm": 8.640382766723633,
953
+ "learning_rate": 0.00019587150995021505,
954
+ "loss": 2.5631,
955
+ "step": 134
956
+ },
957
+ {
958
+ "epoch": 0.026473183645455436,
959
+ "grad_norm": 5.070466995239258,
960
+ "learning_rate": 0.00019580512426467376,
961
+ "loss": 0.8935,
962
+ "step": 135
963
+ },
964
+ {
965
+ "epoch": 0.02666928130208844,
966
+ "grad_norm": 5.741654872894287,
967
+ "learning_rate": 0.00019573822052208013,
968
+ "loss": 2.1005,
969
+ "step": 136
970
+ },
971
+ {
972
+ "epoch": 0.026865378958721445,
973
+ "grad_norm": 8.615095138549805,
974
+ "learning_rate": 0.00019567079908420972,
975
+ "loss": 2.7478,
976
+ "step": 137
977
+ },
978
+ {
979
+ "epoch": 0.027061476615354445,
980
+ "grad_norm": 15.559739112854004,
981
+ "learning_rate": 0.00019560286031563754,
982
+ "loss": 1.8455,
983
+ "step": 138
984
+ },
985
+ {
986
+ "epoch": 0.02725757427198745,
987
+ "grad_norm": 5.683060169219971,
988
+ "learning_rate": 0.000195534404583736,
989
+ "loss": 1.6896,
990
+ "step": 139
991
+ },
992
+ {
993
+ "epoch": 0.027453671928620454,
994
+ "grad_norm": 5.791153430938721,
995
+ "learning_rate": 0.00019546543225867292,
996
+ "loss": 1.9291,
997
+ "step": 140
998
+ },
999
+ {
1000
+ "epoch": 0.027649769585253458,
1001
+ "grad_norm": 6.800760269165039,
1002
+ "learning_rate": 0.0001953959437134095,
1003
+ "loss": 1.789,
1004
+ "step": 141
1005
+ },
1006
+ {
1007
+ "epoch": 0.02784586724188646,
1008
+ "grad_norm": 6.912458896636963,
1009
+ "learning_rate": 0.00019532593932369849,
1010
+ "loss": 2.2544,
1011
+ "step": 142
1012
+ },
1013
+ {
1014
+ "epoch": 0.028041964898519463,
1015
+ "grad_norm": 6.928767681121826,
1016
+ "learning_rate": 0.00019525541946808188,
1017
+ "loss": 1.2531,
1018
+ "step": 143
1019
+ },
1020
+ {
1021
+ "epoch": 0.028238062555152467,
1022
+ "grad_norm": 8.96179485321045,
1023
+ "learning_rate": 0.00019518438452788907,
1024
+ "loss": 2.3403,
1025
+ "step": 144
1026
+ },
1027
+ {
1028
+ "epoch": 0.028434160211785468,
1029
+ "grad_norm": 7.004507064819336,
1030
+ "learning_rate": 0.00019511283488723473,
1031
+ "loss": 1.1211,
1032
+ "step": 145
1033
+ },
1034
+ {
1035
+ "epoch": 0.028630257868418472,
1036
+ "grad_norm": 8.655360221862793,
1037
+ "learning_rate": 0.00019504077093301665,
1038
+ "loss": 1.6074,
1039
+ "step": 146
1040
+ },
1041
+ {
1042
+ "epoch": 0.028826355525051476,
1043
+ "grad_norm": 7.188142776489258,
1044
+ "learning_rate": 0.00019496819305491383,
1045
+ "loss": 1.3564,
1046
+ "step": 147
1047
+ },
1048
+ {
1049
+ "epoch": 0.02902245318168448,
1050
+ "grad_norm": 5.618204116821289,
1051
+ "learning_rate": 0.00019489510164538416,
1052
+ "loss": 2.5936,
1053
+ "step": 148
1054
+ },
1055
+ {
1056
+ "epoch": 0.02921855083831748,
1057
+ "grad_norm": 6.578945159912109,
1058
+ "learning_rate": 0.00019482149709966246,
1059
+ "loss": 0.9577,
1060
+ "step": 149
1061
+ },
1062
+ {
1063
+ "epoch": 0.029414648494950485,
1064
+ "grad_norm": 11.468759536743164,
1065
+ "learning_rate": 0.00019474737981575832,
1066
+ "loss": 2.1746,
1067
+ "step": 150
1068
+ },
1069
+ {
1070
+ "epoch": 0.02961074615158349,
1071
+ "grad_norm": 5.663360595703125,
1072
+ "learning_rate": 0.00019467275019445385,
1073
+ "loss": 1.2751,
1074
+ "step": 151
1075
+ },
1076
+ {
1077
+ "epoch": 0.029806843808216493,
1078
+ "grad_norm": 6.297888278961182,
1079
+ "learning_rate": 0.00019459760863930155,
1080
+ "loss": 1.574,
1081
+ "step": 152
1082
+ },
1083
+ {
1084
+ "epoch": 0.030002941464849494,
1085
+ "grad_norm": 8.760517120361328,
1086
+ "learning_rate": 0.00019452195555662224,
1087
+ "loss": 1.1148,
1088
+ "step": 153
1089
+ },
1090
+ {
1091
+ "epoch": 0.030199039121482498,
1092
+ "grad_norm": 8.745152473449707,
1093
+ "learning_rate": 0.00019444579135550273,
1094
+ "loss": 1.4212,
1095
+ "step": 154
1096
+ },
1097
+ {
1098
+ "epoch": 0.030395136778115502,
1099
+ "grad_norm": 7.594636917114258,
1100
+ "learning_rate": 0.00019436911644779366,
1101
+ "loss": 0.9161,
1102
+ "step": 155
1103
+ },
1104
+ {
1105
+ "epoch": 0.030591234434748506,
1106
+ "grad_norm": 8.563089370727539,
1107
+ "learning_rate": 0.00019429193124810725,
1108
+ "loss": 1.5844,
1109
+ "step": 156
1110
+ },
1111
+ {
1112
+ "epoch": 0.030787332091381507,
1113
+ "grad_norm": 16.4445743560791,
1114
+ "learning_rate": 0.00019421423617381508,
1115
+ "loss": 1.4798,
1116
+ "step": 157
1117
+ },
1118
+ {
1119
+ "epoch": 0.03098342974801451,
1120
+ "grad_norm": 6.86074161529541,
1121
+ "learning_rate": 0.00019413603164504588,
1122
+ "loss": 2.3323,
1123
+ "step": 158
1124
+ },
1125
+ {
1126
+ "epoch": 0.031179527404647515,
1127
+ "grad_norm": 11.293970108032227,
1128
+ "learning_rate": 0.0001940573180846831,
1129
+ "loss": 2.0304,
1130
+ "step": 159
1131
+ },
1132
+ {
1133
+ "epoch": 0.03137562506128052,
1134
+ "grad_norm": 9.772544860839844,
1135
+ "learning_rate": 0.00019397809591836286,
1136
+ "loss": 3.1622,
1137
+ "step": 160
1138
+ },
1139
+ {
1140
+ "epoch": 0.031571722717913524,
1141
+ "grad_norm": 8.489032745361328,
1142
+ "learning_rate": 0.00019389836557447143,
1143
+ "loss": 1.0113,
1144
+ "step": 161
1145
+ },
1146
+ {
1147
+ "epoch": 0.03176782037454652,
1148
+ "grad_norm": 12.992219924926758,
1149
+ "learning_rate": 0.000193818127484143,
1150
+ "loss": 2.5478,
1151
+ "step": 162
1152
+ },
1153
+ {
1154
+ "epoch": 0.031963918031179525,
1155
+ "grad_norm": 6.758875846862793,
1156
+ "learning_rate": 0.0001937373820812574,
1157
+ "loss": 1.8935,
1158
+ "step": 163
1159
+ },
1160
+ {
1161
+ "epoch": 0.03216001568781253,
1162
+ "grad_norm": 11.88957405090332,
1163
+ "learning_rate": 0.0001936561298024377,
1164
+ "loss": 3.1899,
1165
+ "step": 164
1166
+ },
1167
+ {
1168
+ "epoch": 0.03235611334444553,
1169
+ "grad_norm": 8.777862548828125,
1170
+ "learning_rate": 0.00019357437108704777,
1171
+ "loss": 2.7038,
1172
+ "step": 165
1173
+ },
1174
+ {
1175
+ "epoch": 0.03255221100107854,
1176
+ "grad_norm": 5.135364532470703,
1177
+ "learning_rate": 0.0001934921063771901,
1178
+ "loss": 0.7644,
1179
+ "step": 166
1180
+ },
1181
+ {
1182
+ "epoch": 0.03274830865771154,
1183
+ "grad_norm": 9.942065238952637,
1184
+ "learning_rate": 0.00019340933611770321,
1185
+ "loss": 1.4148,
1186
+ "step": 167
1187
+ },
1188
+ {
1189
+ "epoch": 0.032944406314344546,
1190
+ "grad_norm": 7.881731033325195,
1191
+ "learning_rate": 0.0001933260607561594,
1192
+ "loss": 1.7402,
1193
+ "step": 168
1194
+ },
1195
+ {
1196
+ "epoch": 0.03314050397097755,
1197
+ "grad_norm": 6.189711570739746,
1198
+ "learning_rate": 0.00019324228074286222,
1199
+ "loss": 1.642,
1200
+ "step": 169
1201
+ },
1202
+ {
1203
+ "epoch": 0.03333660162761055,
1204
+ "grad_norm": 4.979406356811523,
1205
+ "learning_rate": 0.00019315799653084404,
1206
+ "loss": 2.425,
1207
+ "step": 170
1208
+ },
1209
+ {
1210
+ "epoch": 0.03353269928424355,
1211
+ "grad_norm": 8.461871147155762,
1212
+ "learning_rate": 0.00019307320857586376,
1213
+ "loss": 2.6563,
1214
+ "step": 171
1215
+ },
1216
+ {
1217
+ "epoch": 0.033728796940876556,
1218
+ "grad_norm": 8.992694854736328,
1219
+ "learning_rate": 0.00019298791733640406,
1220
+ "loss": 1.7962,
1221
+ "step": 172
1222
+ },
1223
+ {
1224
+ "epoch": 0.03392489459750956,
1225
+ "grad_norm": 8.074629783630371,
1226
+ "learning_rate": 0.00019290212327366924,
1227
+ "loss": 1.5342,
1228
+ "step": 173
1229
+ },
1230
+ {
1231
+ "epoch": 0.034120992254142564,
1232
+ "grad_norm": 6.5658111572265625,
1233
+ "learning_rate": 0.00019281582685158247,
1234
+ "loss": 0.7919,
1235
+ "step": 174
1236
+ },
1237
+ {
1238
+ "epoch": 0.03431708991077557,
1239
+ "grad_norm": 9.946451187133789,
1240
+ "learning_rate": 0.00019272902853678336,
1241
+ "loss": 1.5664,
1242
+ "step": 175
1243
+ },
1244
+ {
1245
+ "epoch": 0.03451318756740857,
1246
+ "grad_norm": 6.764862060546875,
1247
+ "learning_rate": 0.00019264172879862552,
1248
+ "loss": 2.1083,
1249
+ "step": 176
1250
+ },
1251
+ {
1252
+ "epoch": 0.03470928522404157,
1253
+ "grad_norm": 11.195146560668945,
1254
+ "learning_rate": 0.000192553928109174,
1255
+ "loss": 1.3371,
1256
+ "step": 177
1257
+ },
1258
+ {
1259
+ "epoch": 0.034905382880674574,
1260
+ "grad_norm": 6.352316856384277,
1261
+ "learning_rate": 0.00019246562694320255,
1262
+ "loss": 2.543,
1263
+ "step": 178
1264
+ },
1265
+ {
1266
+ "epoch": 0.03510148053730758,
1267
+ "grad_norm": 4.030996799468994,
1268
+ "learning_rate": 0.00019237682577819137,
1269
+ "loss": 0.9273,
1270
+ "step": 179
1271
+ },
1272
+ {
1273
+ "epoch": 0.03529757819394058,
1274
+ "grad_norm": 6.009339809417725,
1275
+ "learning_rate": 0.00019228752509432417,
1276
+ "loss": 2.1444,
1277
+ "step": 180
1278
+ },
1279
+ {
1280
+ "epoch": 0.035493675850573586,
1281
+ "grad_norm": 14.911331176757812,
1282
+ "learning_rate": 0.00019219772537448597,
1283
+ "loss": 1.5989,
1284
+ "step": 181
1285
+ },
1286
+ {
1287
+ "epoch": 0.03568977350720659,
1288
+ "grad_norm": 6.454592227935791,
1289
+ "learning_rate": 0.00019210742710426012,
1290
+ "loss": 1.0608,
1291
+ "step": 182
1292
+ },
1293
+ {
1294
+ "epoch": 0.035885871163839594,
1295
+ "grad_norm": 11.354242324829102,
1296
+ "learning_rate": 0.00019201663077192586,
1297
+ "loss": 1.7558,
1298
+ "step": 183
1299
+ },
1300
+ {
1301
+ "epoch": 0.0360819688204726,
1302
+ "grad_norm": 5.804329872131348,
1303
+ "learning_rate": 0.0001919253368684557,
1304
+ "loss": 1.411,
1305
+ "step": 184
1306
+ },
1307
+ {
1308
+ "epoch": 0.036278066477105596,
1309
+ "grad_norm": 6.735583305358887,
1310
+ "learning_rate": 0.00019183354588751271,
1311
+ "loss": 2.4473,
1312
+ "step": 185
1313
+ },
1314
+ {
1315
+ "epoch": 0.0364741641337386,
1316
+ "grad_norm": 9.169321060180664,
1317
+ "learning_rate": 0.00019174125832544786,
1318
+ "loss": 1.8947,
1319
+ "step": 186
1320
+ },
1321
+ {
1322
+ "epoch": 0.036670261790371604,
1323
+ "grad_norm": 3.465175151824951,
1324
+ "learning_rate": 0.0001916484746812973,
1325
+ "loss": 1.1306,
1326
+ "step": 187
1327
+ },
1328
+ {
1329
+ "epoch": 0.03686635944700461,
1330
+ "grad_norm": 10.71740436553955,
1331
+ "learning_rate": 0.0001915551954567797,
1332
+ "loss": 1.0832,
1333
+ "step": 188
1334
+ },
1335
+ {
1336
+ "epoch": 0.03706245710363761,
1337
+ "grad_norm": 10.946560859680176,
1338
+ "learning_rate": 0.0001914614211562936,
1339
+ "loss": 1.9391,
1340
+ "step": 189
1341
+ },
1342
+ {
1343
+ "epoch": 0.03725855476027062,
1344
+ "grad_norm": 6.847762584686279,
1345
+ "learning_rate": 0.0001913671522869145,
1346
+ "loss": 2.197,
1347
+ "step": 190
1348
+ },
1349
+ {
1350
+ "epoch": 0.03745465241690362,
1351
+ "grad_norm": 13.330089569091797,
1352
+ "learning_rate": 0.00019127238935839235,
1353
+ "loss": 2.3539,
1354
+ "step": 191
1355
+ },
1356
+ {
1357
+ "epoch": 0.03765075007353662,
1358
+ "grad_norm": 22.94158172607422,
1359
+ "learning_rate": 0.00019117713288314863,
1360
+ "loss": 2.868,
1361
+ "step": 192
1362
+ },
1363
+ {
1364
+ "epoch": 0.03784684773016962,
1365
+ "grad_norm": 7.080881595611572,
1366
+ "learning_rate": 0.00019108138337627358,
1367
+ "loss": 1.7925,
1368
+ "step": 193
1369
+ },
1370
+ {
1371
+ "epoch": 0.038042945386802626,
1372
+ "grad_norm": 4.726489067077637,
1373
+ "learning_rate": 0.00019098514135552357,
1374
+ "loss": 1.008,
1375
+ "step": 194
1376
+ },
1377
+ {
1378
+ "epoch": 0.03823904304343563,
1379
+ "grad_norm": 5.7414870262146,
1380
+ "learning_rate": 0.00019088840734131807,
1381
+ "loss": 0.8934,
1382
+ "step": 195
1383
+ },
1384
+ {
1385
+ "epoch": 0.038435140700068635,
1386
+ "grad_norm": 6.781312465667725,
1387
+ "learning_rate": 0.00019079118185673705,
1388
+ "loss": 1.6637,
1389
+ "step": 196
1390
+ },
1391
+ {
1392
+ "epoch": 0.03863123835670164,
1393
+ "grad_norm": 12.264861106872559,
1394
+ "learning_rate": 0.00019069346542751803,
1395
+ "loss": 1.6055,
1396
+ "step": 197
1397
+ },
1398
+ {
1399
+ "epoch": 0.03882733601333464,
1400
+ "grad_norm": 8.975689888000488,
1401
+ "learning_rate": 0.00019059525858205323,
1402
+ "loss": 2.6467,
1403
+ "step": 198
1404
+ },
1405
+ {
1406
+ "epoch": 0.03902343366996765,
1407
+ "grad_norm": 9.027484893798828,
1408
+ "learning_rate": 0.0001904965618513868,
1409
+ "loss": 1.9813,
1410
+ "step": 199
1411
+ },
1412
+ {
1413
+ "epoch": 0.039219531326600644,
1414
+ "grad_norm": 9.491011619567871,
1415
+ "learning_rate": 0.0001903973757692119,
1416
+ "loss": 1.4225,
1417
+ "step": 200
1418
+ },
1419
+ {
1420
+ "epoch": 0.03941562898323365,
1421
+ "grad_norm": 5.202075481414795,
1422
+ "learning_rate": 0.00019029770087186773,
1423
+ "loss": 1.3524,
1424
+ "step": 201
1425
+ },
1426
+ {
1427
+ "epoch": 0.03961172663986665,
1428
+ "grad_norm": 11.139556884765625,
1429
+ "learning_rate": 0.00019019753769833678,
1430
+ "loss": 2.0723,
1431
+ "step": 202
1432
+ },
1433
+ {
1434
+ "epoch": 0.03980782429649966,
1435
+ "grad_norm": 11.383284568786621,
1436
+ "learning_rate": 0.0001900968867902419,
1437
+ "loss": 1.5843,
1438
+ "step": 203
1439
+ },
1440
+ {
1441
+ "epoch": 0.04000392195313266,
1442
+ "grad_norm": 7.112687110900879,
1443
+ "learning_rate": 0.00018999574869184324,
1444
+ "loss": 1.3899,
1445
+ "step": 204
1446
+ },
1447
+ {
1448
+ "epoch": 0.040200019609765665,
1449
+ "grad_norm": 13.50672721862793,
1450
+ "learning_rate": 0.00018989412395003537,
1451
+ "loss": 1.7484,
1452
+ "step": 205
1453
+ },
1454
+ {
1455
+ "epoch": 0.04039611726639867,
1456
+ "grad_norm": 13.107057571411133,
1457
+ "learning_rate": 0.00018979201311434434,
1458
+ "loss": 1.6412,
1459
+ "step": 206
1460
+ },
1461
+ {
1462
+ "epoch": 0.040592214923031666,
1463
+ "grad_norm": 11.221402168273926,
1464
+ "learning_rate": 0.0001896894167369248,
1465
+ "loss": 2.608,
1466
+ "step": 207
1467
+ },
1468
+ {
1469
+ "epoch": 0.04078831257966467,
1470
+ "grad_norm": 4.945010662078857,
1471
+ "learning_rate": 0.0001895863353725568,
1472
+ "loss": 1.3582,
1473
+ "step": 208
1474
+ },
1475
+ {
1476
+ "epoch": 0.040984410236297675,
1477
+ "grad_norm": 15.066801071166992,
1478
+ "learning_rate": 0.00018948276957864299,
1479
+ "loss": 1.7296,
1480
+ "step": 209
1481
+ },
1482
+ {
1483
+ "epoch": 0.04118050789293068,
1484
+ "grad_norm": 7.497617244720459,
1485
+ "learning_rate": 0.0001893787199152055,
1486
+ "loss": 1.4961,
1487
+ "step": 210
1488
+ },
1489
+ {
1490
+ "epoch": 0.04137660554956368,
1491
+ "grad_norm": 4.299473762512207,
1492
+ "learning_rate": 0.00018927418694488296,
1493
+ "loss": 1.7403,
1494
+ "step": 211
1495
+ },
1496
+ {
1497
+ "epoch": 0.04157270320619669,
1498
+ "grad_norm": 6.988886833190918,
1499
+ "learning_rate": 0.00018916917123292738,
1500
+ "loss": 2.6546,
1501
+ "step": 212
1502
+ },
1503
+ {
1504
+ "epoch": 0.04176880086282969,
1505
+ "grad_norm": 9.461721420288086,
1506
+ "learning_rate": 0.00018906367334720124,
1507
+ "loss": 2.067,
1508
+ "step": 213
1509
+ },
1510
+ {
1511
+ "epoch": 0.041964898519462696,
1512
+ "grad_norm": 4.021213054656982,
1513
+ "learning_rate": 0.0001889576938581742,
1514
+ "loss": 1.0274,
1515
+ "step": 214
1516
+ },
1517
+ {
1518
+ "epoch": 0.04216099617609569,
1519
+ "grad_norm": 7.254751205444336,
1520
+ "learning_rate": 0.00018885123333892026,
1521
+ "loss": 1.7091,
1522
+ "step": 215
1523
+ },
1524
+ {
1525
+ "epoch": 0.0423570938327287,
1526
+ "grad_norm": 10.783350944519043,
1527
+ "learning_rate": 0.00018874429236511448,
1528
+ "loss": 1.3779,
1529
+ "step": 216
1530
+ },
1531
+ {
1532
+ "epoch": 0.0425531914893617,
1533
+ "grad_norm": 16.38484764099121,
1534
+ "learning_rate": 0.00018863687151503,
1535
+ "loss": 2.8516,
1536
+ "step": 217
1537
+ },
1538
+ {
1539
+ "epoch": 0.042749289145994705,
1540
+ "grad_norm": 5.848017692565918,
1541
+ "learning_rate": 0.00018852897136953473,
1542
+ "loss": 1.6814,
1543
+ "step": 218
1544
+ },
1545
+ {
1546
+ "epoch": 0.04294538680262771,
1547
+ "grad_norm": 5.781267166137695,
1548
+ "learning_rate": 0.00018842059251208845,
1549
+ "loss": 2.1672,
1550
+ "step": 219
1551
+ },
1552
+ {
1553
+ "epoch": 0.043141484459260714,
1554
+ "grad_norm": 6.244543552398682,
1555
+ "learning_rate": 0.00018831173552873946,
1556
+ "loss": 0.6934,
1557
+ "step": 220
1558
+ },
1559
+ {
1560
+ "epoch": 0.04333758211589372,
1561
+ "grad_norm": 6.526815414428711,
1562
+ "learning_rate": 0.0001882024010081215,
1563
+ "loss": 1.6071,
1564
+ "step": 221
1565
+ },
1566
+ {
1567
+ "epoch": 0.043533679772526715,
1568
+ "grad_norm": 6.064664363861084,
1569
+ "learning_rate": 0.00018809258954145052,
1570
+ "loss": 1.8964,
1571
+ "step": 222
1572
+ },
1573
+ {
1574
+ "epoch": 0.04372977742915972,
1575
+ "grad_norm": 6.710343837738037,
1576
+ "learning_rate": 0.0001879823017225215,
1577
+ "loss": 2.063,
1578
+ "step": 223
1579
+ },
1580
+ {
1581
+ "epoch": 0.04392587508579272,
1582
+ "grad_norm": 9.060622215270996,
1583
+ "learning_rate": 0.00018787153814770537,
1584
+ "loss": 1.568,
1585
+ "step": 224
1586
+ },
1587
+ {
1588
+ "epoch": 0.04412197274242573,
1589
+ "grad_norm": 4.686062335968018,
1590
+ "learning_rate": 0.00018776029941594552,
1591
+ "loss": 1.1178,
1592
+ "step": 225
1593
+ },
1594
+ {
1595
+ "epoch": 0.04431807039905873,
1596
+ "grad_norm": 6.257881164550781,
1597
+ "learning_rate": 0.00018764858612875472,
1598
+ "loss": 2.1195,
1599
+ "step": 226
1600
+ },
1601
+ {
1602
+ "epoch": 0.044514168055691736,
1603
+ "grad_norm": 9.814234733581543,
1604
+ "learning_rate": 0.00018753639889021196,
1605
+ "loss": 1.1679,
1606
+ "step": 227
1607
+ },
1608
+ {
1609
+ "epoch": 0.04471026571232474,
1610
+ "grad_norm": 13.946937561035156,
1611
+ "learning_rate": 0.00018742373830695898,
1612
+ "loss": 1.6899,
1613
+ "step": 228
1614
+ },
1615
+ {
1616
+ "epoch": 0.044906363368957744,
1617
+ "grad_norm": 6.277964115142822,
1618
+ "learning_rate": 0.0001873106049881971,
1619
+ "loss": 1.5076,
1620
+ "step": 229
1621
+ },
1622
+ {
1623
+ "epoch": 0.04510246102559074,
1624
+ "grad_norm": 14.092109680175781,
1625
+ "learning_rate": 0.00018719699954568398,
1626
+ "loss": 1.9726,
1627
+ "step": 230
1628
+ },
1629
+ {
1630
+ "epoch": 0.045298558682223745,
1631
+ "grad_norm": 6.5708231925964355,
1632
+ "learning_rate": 0.00018708292259373015,
1633
+ "loss": 0.6623,
1634
+ "step": 231
1635
+ },
1636
+ {
1637
+ "epoch": 0.04549465633885675,
1638
+ "grad_norm": 6.839974880218506,
1639
+ "learning_rate": 0.00018696837474919582,
1640
+ "loss": 1.8836,
1641
+ "step": 232
1642
+ },
1643
+ {
1644
+ "epoch": 0.045690753995489754,
1645
+ "grad_norm": 17.919775009155273,
1646
+ "learning_rate": 0.00018685335663148753,
1647
+ "loss": 2.2343,
1648
+ "step": 233
1649
+ },
1650
+ {
1651
+ "epoch": 0.04588685165212276,
1652
+ "grad_norm": 7.140262603759766,
1653
+ "learning_rate": 0.00018673786886255476,
1654
+ "loss": 1.9653,
1655
+ "step": 234
1656
+ },
1657
+ {
1658
+ "epoch": 0.04608294930875576,
1659
+ "grad_norm": 11.049707412719727,
1660
+ "learning_rate": 0.00018662191206688658,
1661
+ "loss": 1.8658,
1662
+ "step": 235
1663
+ },
1664
+ {
1665
+ "epoch": 0.046279046965388766,
1666
+ "grad_norm": 5.617869853973389,
1667
+ "learning_rate": 0.00018650548687150823,
1668
+ "loss": 1.862,
1669
+ "step": 236
1670
+ },
1671
+ {
1672
+ "epoch": 0.04647514462202176,
1673
+ "grad_norm": 6.494004726409912,
1674
+ "learning_rate": 0.00018638859390597792,
1675
+ "loss": 3.787,
1676
+ "step": 237
1677
+ },
1678
+ {
1679
+ "epoch": 0.04667124227865477,
1680
+ "grad_norm": 17.628082275390625,
1681
+ "learning_rate": 0.00018627123380238314,
1682
+ "loss": 1.9129,
1683
+ "step": 238
1684
+ },
1685
+ {
1686
+ "epoch": 0.04686733993528777,
1687
+ "grad_norm": 5.634758949279785,
1688
+ "learning_rate": 0.0001861534071953374,
1689
+ "loss": 1.4702,
1690
+ "step": 239
1691
+ },
1692
+ {
1693
+ "epoch": 0.047063437591920776,
1694
+ "grad_norm": 20.99329948425293,
1695
+ "learning_rate": 0.00018603511472197685,
1696
+ "loss": 2.2196,
1697
+ "step": 240
1698
+ },
1699
+ {
1700
+ "epoch": 0.04725953524855378,
1701
+ "grad_norm": 6.650235652923584,
1702
+ "learning_rate": 0.00018591635702195673,
1703
+ "loss": 0.986,
1704
+ "step": 241
1705
+ },
1706
+ {
1707
+ "epoch": 0.047455632905186784,
1708
+ "grad_norm": 4.837536334991455,
1709
+ "learning_rate": 0.00018579713473744795,
1710
+ "loss": 1.2033,
1711
+ "step": 242
1712
+ },
1713
+ {
1714
+ "epoch": 0.04765173056181979,
1715
+ "grad_norm": 9.390655517578125,
1716
+ "learning_rate": 0.00018567744851313362,
1717
+ "loss": 1.7356,
1718
+ "step": 243
1719
+ },
1720
+ {
1721
+ "epoch": 0.04784782821845279,
1722
+ "grad_norm": 8.881529808044434,
1723
+ "learning_rate": 0.0001855572989962056,
1724
+ "loss": 1.0063,
1725
+ "step": 244
1726
+ },
1727
+ {
1728
+ "epoch": 0.04804392587508579,
1729
+ "grad_norm": 6.325936317443848,
1730
+ "learning_rate": 0.00018543668683636085,
1731
+ "loss": 1.5957,
1732
+ "step": 245
1733
+ },
1734
+ {
1735
+ "epoch": 0.048240023531718794,
1736
+ "grad_norm": 10.866408348083496,
1737
+ "learning_rate": 0.0001853156126857981,
1738
+ "loss": 2.0472,
1739
+ "step": 246
1740
+ },
1741
+ {
1742
+ "epoch": 0.0484361211883518,
1743
+ "grad_norm": 6.741912364959717,
1744
+ "learning_rate": 0.00018519407719921427,
1745
+ "loss": 1.6029,
1746
+ "step": 247
1747
+ },
1748
+ {
1749
+ "epoch": 0.0486322188449848,
1750
+ "grad_norm": 5.979978561401367,
1751
+ "learning_rate": 0.00018507208103380092,
1752
+ "loss": 0.9353,
1753
+ "step": 248
1754
+ },
1755
+ {
1756
+ "epoch": 0.048828316501617806,
1757
+ "grad_norm": 6.375998020172119,
1758
+ "learning_rate": 0.00018494962484924058,
1759
+ "loss": 2.5973,
1760
+ "step": 249
1761
+ },
1762
+ {
1763
+ "epoch": 0.04902441415825081,
1764
+ "grad_norm": 8.528829574584961,
1765
+ "learning_rate": 0.00018482670930770342,
1766
+ "loss": 1.1618,
1767
+ "step": 250
1768
+ },
1769
+ {
1770
+ "epoch": 0.049220511814883815,
1771
+ "grad_norm": 7.874660491943359,
1772
+ "learning_rate": 0.0001847033350738435,
1773
+ "loss": 1.3043,
1774
+ "step": 251
1775
+ },
1776
+ {
1777
+ "epoch": 0.04941660947151681,
1778
+ "grad_norm": 4.421433925628662,
1779
+ "learning_rate": 0.00018457950281479513,
1780
+ "loss": 2.0768,
1781
+ "step": 252
1782
+ },
1783
+ {
1784
+ "epoch": 0.049612707128149816,
1785
+ "grad_norm": 8.347919464111328,
1786
+ "learning_rate": 0.00018445521320016944,
1787
+ "loss": 1.0983,
1788
+ "step": 253
1789
+ },
1790
+ {
1791
+ "epoch": 0.04980880478478282,
1792
+ "grad_norm": 6.713651657104492,
1793
+ "learning_rate": 0.00018433046690205068,
1794
+ "loss": 0.9891,
1795
+ "step": 254
1796
+ },
1797
+ {
1798
+ "epoch": 0.050004902441415824,
1799
+ "grad_norm": 12.359843254089355,
1800
+ "learning_rate": 0.0001842052645949925,
1801
+ "loss": 2.5271,
1802
+ "step": 255
1803
+ },
1804
+ {
1805
+ "epoch": 0.05020100009804883,
1806
+ "grad_norm": 4.7271199226379395,
1807
+ "learning_rate": 0.00018407960695601442,
1808
+ "loss": 1.394,
1809
+ "step": 256
1810
+ },
1811
+ {
1812
+ "epoch": 0.05039709775468183,
1813
+ "grad_norm": 5.810708522796631,
1814
+ "learning_rate": 0.0001839534946645981,
1815
+ "loss": 1.7354,
1816
+ "step": 257
1817
+ },
1818
+ {
1819
+ "epoch": 0.05059319541131484,
1820
+ "grad_norm": 28.575908660888672,
1821
+ "learning_rate": 0.00018382692840268367,
1822
+ "loss": 3.4793,
1823
+ "step": 258
1824
+ },
1825
+ {
1826
+ "epoch": 0.05078929306794784,
1827
+ "grad_norm": 5.775376319885254,
1828
+ "learning_rate": 0.00018369990885466617,
1829
+ "loss": 1.4695,
1830
+ "step": 259
1831
+ },
1832
+ {
1833
+ "epoch": 0.05098539072458084,
1834
+ "grad_norm": 7.531515121459961,
1835
+ "learning_rate": 0.0001835724367073916,
1836
+ "loss": 2.0772,
1837
+ "step": 260
1838
+ },
1839
+ {
1840
+ "epoch": 0.05118148838121384,
1841
+ "grad_norm": 5.099686145782471,
1842
+ "learning_rate": 0.00018344451265015348,
1843
+ "loss": 3.2733,
1844
+ "step": 261
1845
+ },
1846
+ {
1847
+ "epoch": 0.05137758603784685,
1848
+ "grad_norm": 5.558218479156494,
1849
+ "learning_rate": 0.00018331613737468887,
1850
+ "loss": 1.7578,
1851
+ "step": 262
1852
+ },
1853
+ {
1854
+ "epoch": 0.05157368369447985,
1855
+ "grad_norm": 7.837512016296387,
1856
+ "learning_rate": 0.00018318731157517478,
1857
+ "loss": 2.7413,
1858
+ "step": 263
1859
+ },
1860
+ {
1861
+ "epoch": 0.051769781351112855,
1862
+ "grad_norm": 9.013374328613281,
1863
+ "learning_rate": 0.00018305803594822448,
1864
+ "loss": 1.7722,
1865
+ "step": 264
1866
+ },
1867
+ {
1868
+ "epoch": 0.05196587900774586,
1869
+ "grad_norm": 7.108828067779541,
1870
+ "learning_rate": 0.00018292831119288348,
1871
+ "loss": 1.31,
1872
+ "step": 265
1873
+ },
1874
+ {
1875
+ "epoch": 0.05216197666437886,
1876
+ "grad_norm": 6.387202739715576,
1877
+ "learning_rate": 0.0001827981380106261,
1878
+ "loss": 1.0588,
1879
+ "step": 266
1880
+ },
1881
+ {
1882
+ "epoch": 0.05235807432101187,
1883
+ "grad_norm": 13.306784629821777,
1884
+ "learning_rate": 0.00018266751710535131,
1885
+ "loss": 2.6092,
1886
+ "step": 267
1887
+ },
1888
+ {
1889
+ "epoch": 0.052554171977644865,
1890
+ "grad_norm": 7.774232864379883,
1891
+ "learning_rate": 0.00018253644918337915,
1892
+ "loss": 1.2318,
1893
+ "step": 268
1894
+ },
1895
+ {
1896
+ "epoch": 0.05275026963427787,
1897
+ "grad_norm": 5.396208763122559,
1898
+ "learning_rate": 0.00018240493495344694,
1899
+ "loss": 1.2144,
1900
+ "step": 269
1901
+ },
1902
+ {
1903
+ "epoch": 0.05294636729091087,
1904
+ "grad_norm": 13.393839836120605,
1905
+ "learning_rate": 0.0001822729751267053,
1906
+ "loss": 2.4278,
1907
+ "step": 270
1908
+ },
1909
+ {
1910
+ "epoch": 0.05314246494754388,
1911
+ "grad_norm": 14.873156547546387,
1912
+ "learning_rate": 0.00018214057041671434,
1913
+ "loss": 2.4015,
1914
+ "step": 271
1915
+ },
1916
+ {
1917
+ "epoch": 0.05333856260417688,
1918
+ "grad_norm": 7.224187850952148,
1919
+ "learning_rate": 0.00018200772153943988,
1920
+ "loss": 1.578,
1921
+ "step": 272
1922
+ },
1923
+ {
1924
+ "epoch": 0.053534660260809885,
1925
+ "grad_norm": 16.03417205810547,
1926
+ "learning_rate": 0.00018187442921324958,
1927
+ "loss": 2.4634,
1928
+ "step": 273
1929
+ },
1930
+ {
1931
+ "epoch": 0.05373075791744289,
1932
+ "grad_norm": 6.284254550933838,
1933
+ "learning_rate": 0.00018174069415890888,
1934
+ "loss": 1.1995,
1935
+ "step": 274
1936
+ },
1937
+ {
1938
+ "epoch": 0.05392685557407589,
1939
+ "grad_norm": 5.986271858215332,
1940
+ "learning_rate": 0.00018160651709957736,
1941
+ "loss": 1.8718,
1942
+ "step": 275
1943
+ },
1944
+ {
1945
+ "epoch": 0.05412295323070889,
1946
+ "grad_norm": 13.663339614868164,
1947
+ "learning_rate": 0.00018147189876080463,
1948
+ "loss": 1.8664,
1949
+ "step": 276
1950
+ },
1951
+ {
1952
+ "epoch": 0.054319050887341895,
1953
+ "grad_norm": 8.843401908874512,
1954
+ "learning_rate": 0.0001813368398705265,
1955
+ "loss": 4.1059,
1956
+ "step": 277
1957
+ },
1958
+ {
1959
+ "epoch": 0.0545151485439749,
1960
+ "grad_norm": 6.658843994140625,
1961
+ "learning_rate": 0.00018120134115906096,
1962
+ "loss": 0.8269,
1963
+ "step": 278
1964
+ },
1965
+ {
1966
+ "epoch": 0.0547112462006079,
1967
+ "grad_norm": 14.153685569763184,
1968
+ "learning_rate": 0.0001810654033591044,
1969
+ "loss": 1.9537,
1970
+ "step": 279
1971
+ },
1972
+ {
1973
+ "epoch": 0.05490734385724091,
1974
+ "grad_norm": 5.585552215576172,
1975
+ "learning_rate": 0.00018092902720572745,
1976
+ "loss": 1.2531,
1977
+ "step": 280
1978
+ },
1979
+ {
1980
+ "epoch": 0.05510344151387391,
1981
+ "grad_norm": 6.414156436920166,
1982
+ "learning_rate": 0.00018079221343637113,
1983
+ "loss": 0.9456,
1984
+ "step": 281
1985
+ },
1986
+ {
1987
+ "epoch": 0.055299539170506916,
1988
+ "grad_norm": 6.674518585205078,
1989
+ "learning_rate": 0.00018065496279084283,
1990
+ "loss": 1.1899,
1991
+ "step": 282
1992
+ },
1993
+ {
1994
+ "epoch": 0.05549563682713991,
1995
+ "grad_norm": 16.878883361816406,
1996
+ "learning_rate": 0.00018051727601131227,
1997
+ "loss": 0.8761,
1998
+ "step": 283
1999
+ },
2000
+ {
2001
+ "epoch": 0.05569173448377292,
2002
+ "grad_norm": 31.99020004272461,
2003
+ "learning_rate": 0.0001803791538423076,
2004
+ "loss": 1.7235,
2005
+ "step": 284
2006
+ },
2007
+ {
2008
+ "epoch": 0.05588783214040592,
2009
+ "grad_norm": 4.821253776550293,
2010
+ "learning_rate": 0.0001802405970307112,
2011
+ "loss": 1.2902,
2012
+ "step": 285
2013
+ },
2014
+ {
2015
+ "epoch": 0.056083929797038926,
2016
+ "grad_norm": 7.2293267250061035,
2017
+ "learning_rate": 0.00018010160632575577,
2018
+ "loss": 1.0864,
2019
+ "step": 286
2020
+ },
2021
+ {
2022
+ "epoch": 0.05628002745367193,
2023
+ "grad_norm": 8.262434959411621,
2024
+ "learning_rate": 0.00017996218247902035,
2025
+ "loss": 1.6246,
2026
+ "step": 287
2027
+ },
2028
+ {
2029
+ "epoch": 0.056476125110304934,
2030
+ "grad_norm": 7.845222473144531,
2031
+ "learning_rate": 0.00017982232624442595,
2032
+ "loss": 1.7249,
2033
+ "step": 288
2034
+ },
2035
+ {
2036
+ "epoch": 0.05667222276693794,
2037
+ "grad_norm": 9.781503677368164,
2038
+ "learning_rate": 0.0001796820383782319,
2039
+ "loss": 1.9911,
2040
+ "step": 289
2041
+ },
2042
+ {
2043
+ "epoch": 0.056868320423570935,
2044
+ "grad_norm": 10.7435884475708,
2045
+ "learning_rate": 0.00017954131963903133,
2046
+ "loss": 1.4689,
2047
+ "step": 290
2048
+ },
2049
+ {
2050
+ "epoch": 0.05706441808020394,
2051
+ "grad_norm": 8.709835052490234,
2052
+ "learning_rate": 0.00017940017078774747,
2053
+ "loss": 2.3939,
2054
+ "step": 291
2055
+ },
2056
+ {
2057
+ "epoch": 0.057260515736836944,
2058
+ "grad_norm": 6.140249252319336,
2059
+ "learning_rate": 0.00017925859258762915,
2060
+ "loss": 2.0753,
2061
+ "step": 292
2062
+ },
2063
+ {
2064
+ "epoch": 0.05745661339346995,
2065
+ "grad_norm": 9.725993156433105,
2066
+ "learning_rate": 0.00017911658580424704,
2067
+ "loss": 1.5315,
2068
+ "step": 293
2069
+ },
2070
+ {
2071
+ "epoch": 0.05765271105010295,
2072
+ "grad_norm": 20.413393020629883,
2073
+ "learning_rate": 0.00017897415120548917,
2074
+ "loss": 2.4083,
2075
+ "step": 294
2076
+ },
2077
+ {
2078
+ "epoch": 0.057848808706735956,
2079
+ "grad_norm": 7.881735324859619,
2080
+ "learning_rate": 0.00017883128956155706,
2081
+ "loss": 3.1099,
2082
+ "step": 295
2083
+ },
2084
+ {
2085
+ "epoch": 0.05804490636336896,
2086
+ "grad_norm": 8.856921195983887,
2087
+ "learning_rate": 0.0001786880016449614,
2088
+ "loss": 0.9566,
2089
+ "step": 296
2090
+ },
2091
+ {
2092
+ "epoch": 0.058241004020001964,
2093
+ "grad_norm": 25.80061912536621,
2094
+ "learning_rate": 0.0001785442882305179,
2095
+ "loss": 2.6205,
2096
+ "step": 297
2097
+ },
2098
+ {
2099
+ "epoch": 0.05843710167663496,
2100
+ "grad_norm": 13.293787956237793,
2101
+ "learning_rate": 0.00017840015009534308,
2102
+ "loss": 1.7317,
2103
+ "step": 298
2104
+ },
2105
+ {
2106
+ "epoch": 0.058633199333267966,
2107
+ "grad_norm": 11.313176155090332,
2108
+ "learning_rate": 0.00017825558801885016,
2109
+ "loss": 1.5122,
2110
+ "step": 299
2111
+ },
2112
+ {
2113
+ "epoch": 0.05882929698990097,
2114
+ "grad_norm": 9.636054039001465,
2115
+ "learning_rate": 0.00017811060278274474,
2116
+ "loss": 2.1976,
2117
+ "step": 300
2118
+ },
2119
+ {
2120
+ "epoch": 0.059025394646533974,
2121
+ "grad_norm": 11.10985279083252,
2122
+ "learning_rate": 0.00017796519517102066,
2123
+ "loss": 2.5926,
2124
+ "step": 301
2125
+ },
2126
+ {
2127
+ "epoch": 0.05922149230316698,
2128
+ "grad_norm": 6.27458381652832,
2129
+ "learning_rate": 0.00017781936596995563,
2130
+ "loss": 2.5326,
2131
+ "step": 302
2132
+ },
2133
+ {
2134
+ "epoch": 0.05941758995979998,
2135
+ "grad_norm": 10.134029388427734,
2136
+ "learning_rate": 0.00017767311596810715,
2137
+ "loss": 1.4142,
2138
+ "step": 303
2139
+ },
2140
+ {
2141
+ "epoch": 0.059613687616432987,
2142
+ "grad_norm": 10.580477714538574,
2143
+ "learning_rate": 0.0001775264459563081,
2144
+ "loss": 2.3389,
2145
+ "step": 304
2146
+ },
2147
+ {
2148
+ "epoch": 0.059809785273065984,
2149
+ "grad_norm": 7.545969009399414,
2150
+ "learning_rate": 0.00017737935672766257,
2151
+ "loss": 2.3728,
2152
+ "step": 305
2153
+ },
2154
+ {
2155
+ "epoch": 0.06000588292969899,
2156
+ "grad_norm": 6.5107622146606445,
2157
+ "learning_rate": 0.00017723184907754154,
2158
+ "loss": 1.0087,
2159
+ "step": 306
2160
+ },
2161
+ {
2162
+ "epoch": 0.06020198058633199,
2163
+ "grad_norm": 10.663747787475586,
2164
+ "learning_rate": 0.00017708392380357845,
2165
+ "loss": 2.2001,
2166
+ "step": 307
2167
+ },
2168
+ {
2169
+ "epoch": 0.060398078242964996,
2170
+ "grad_norm": 10.211285591125488,
2171
+ "learning_rate": 0.0001769355817056651,
2172
+ "loss": 2.2537,
2173
+ "step": 308
2174
+ },
2175
+ {
2176
+ "epoch": 0.060594175899598,
2177
+ "grad_norm": 8.512606620788574,
2178
+ "learning_rate": 0.00017678682358594728,
2179
+ "loss": 1.0687,
2180
+ "step": 309
2181
+ },
2182
+ {
2183
+ "epoch": 0.060790273556231005,
2184
+ "grad_norm": 10.64330768585205,
2185
+ "learning_rate": 0.0001766376502488202,
2186
+ "loss": 2.4672,
2187
+ "step": 310
2188
+ },
2189
+ {
2190
+ "epoch": 0.06098637121286401,
2191
+ "grad_norm": 9.972363471984863,
2192
+ "learning_rate": 0.0001764880625009245,
2193
+ "loss": 2.2277,
2194
+ "step": 311
2195
+ },
2196
+ {
2197
+ "epoch": 0.06118246886949701,
2198
+ "grad_norm": 10.01198959350586,
2199
+ "learning_rate": 0.0001763380611511416,
2200
+ "loss": 1.906,
2201
+ "step": 312
2202
+ },
2203
+ {
2204
+ "epoch": 0.06137856652613001,
2205
+ "grad_norm": 11.719582557678223,
2206
+ "learning_rate": 0.00017618764701058949,
2207
+ "loss": 2.4849,
2208
+ "step": 313
2209
+ },
2210
+ {
2211
+ "epoch": 0.061574664182763014,
2212
+ "grad_norm": 9.08901309967041,
2213
+ "learning_rate": 0.0001760368208926182,
2214
+ "loss": 1.4476,
2215
+ "step": 314
2216
+ },
2217
+ {
2218
+ "epoch": 0.06177076183939602,
2219
+ "grad_norm": 11.74946403503418,
2220
+ "learning_rate": 0.00017588558361280557,
2221
+ "loss": 1.3607,
2222
+ "step": 315
2223
+ },
2224
+ {
2225
+ "epoch": 0.06196685949602902,
2226
+ "grad_norm": 6.549604892730713,
2227
+ "learning_rate": 0.00017573393598895276,
2228
+ "loss": 2.066,
2229
+ "step": 316
2230
+ },
2231
+ {
2232
+ "epoch": 0.06216295715266203,
2233
+ "grad_norm": 5.160909652709961,
2234
+ "learning_rate": 0.00017558187884107978,
2235
+ "loss": 0.9799,
2236
+ "step": 317
2237
+ },
2238
+ {
2239
+ "epoch": 0.06235905480929503,
2240
+ "grad_norm": 11.00747299194336,
2241
+ "learning_rate": 0.00017542941299142112,
2242
+ "loss": 2.3193,
2243
+ "step": 318
2244
+ },
2245
+ {
2246
+ "epoch": 0.06255515246592804,
2247
+ "grad_norm": 4.467062473297119,
2248
+ "learning_rate": 0.00017527653926442135,
2249
+ "loss": 1.9208,
2250
+ "step": 319
2251
+ },
2252
+ {
2253
+ "epoch": 0.06275125012256104,
2254
+ "grad_norm": 11.554845809936523,
2255
+ "learning_rate": 0.00017512325848673043,
2256
+ "loss": 1.5197,
2257
+ "step": 320
2258
+ },
2259
+ {
2260
+ "epoch": 0.06294734777919404,
2261
+ "grad_norm": 6.626307964324951,
2262
+ "learning_rate": 0.0001749695714871996,
2263
+ "loss": 2.0222,
2264
+ "step": 321
2265
+ },
2266
+ {
2267
+ "epoch": 0.06314344543582705,
2268
+ "grad_norm": 5.357675075531006,
2269
+ "learning_rate": 0.00017481547909687658,
2270
+ "loss": 2.3264,
2271
+ "step": 322
2272
+ },
2273
+ {
2274
+ "epoch": 0.06333954309246005,
2275
+ "grad_norm": 9.451851844787598,
2276
+ "learning_rate": 0.00017466098214900124,
2277
+ "loss": 1.5699,
2278
+ "step": 323
2279
+ },
2280
+ {
2281
+ "epoch": 0.06353564074909304,
2282
+ "grad_norm": 5.937804698944092,
2283
+ "learning_rate": 0.00017450608147900106,
2284
+ "loss": 1.832,
2285
+ "step": 324
2286
+ },
2287
+ {
2288
+ "epoch": 0.06373173840572605,
2289
+ "grad_norm": 10.744606971740723,
2290
+ "learning_rate": 0.00017435077792448664,
2291
+ "loss": 1.4665,
2292
+ "step": 325
2293
+ },
2294
+ {
2295
+ "epoch": 0.06392783606235905,
2296
+ "grad_norm": 9.900199890136719,
2297
+ "learning_rate": 0.0001741950723252471,
2298
+ "loss": 1.4785,
2299
+ "step": 326
2300
+ },
2301
+ {
2302
+ "epoch": 0.06412393371899205,
2303
+ "grad_norm": 13.663531303405762,
2304
+ "learning_rate": 0.00017403896552324553,
2305
+ "loss": 0.9564,
2306
+ "step": 327
2307
+ },
2308
+ {
2309
+ "epoch": 0.06432003137562506,
2310
+ "grad_norm": 4.708930015563965,
2311
+ "learning_rate": 0.00017388245836261464,
2312
+ "loss": 0.8293,
2313
+ "step": 328
2314
+ },
2315
+ {
2316
+ "epoch": 0.06451612903225806,
2317
+ "grad_norm": 6.656357288360596,
2318
+ "learning_rate": 0.00017372555168965184,
2319
+ "loss": 2.2177,
2320
+ "step": 329
2321
+ },
2322
+ {
2323
+ "epoch": 0.06471222668889107,
2324
+ "grad_norm": 6.349363803863525,
2325
+ "learning_rate": 0.00017356824635281502,
2326
+ "loss": 3.3319,
2327
+ "step": 330
2328
+ },
2329
+ {
2330
+ "epoch": 0.06490832434552407,
2331
+ "grad_norm": 10.561055183410645,
2332
+ "learning_rate": 0.00017341054320271776,
2333
+ "loss": 1.919,
2334
+ "step": 331
2335
+ },
2336
+ {
2337
+ "epoch": 0.06510442200215708,
2338
+ "grad_norm": 10.805617332458496,
2339
+ "learning_rate": 0.00017325244309212475,
2340
+ "loss": 2.9898,
2341
+ "step": 332
2342
+ },
2343
+ {
2344
+ "epoch": 0.06530051965879008,
2345
+ "grad_norm": 9.67844009399414,
2346
+ "learning_rate": 0.0001730939468759472,
2347
+ "loss": 3.0727,
2348
+ "step": 333
2349
+ },
2350
+ {
2351
+ "epoch": 0.06549661731542308,
2352
+ "grad_norm": 9.487295150756836,
2353
+ "learning_rate": 0.00017293505541123833,
2354
+ "loss": 1.2741,
2355
+ "step": 334
2356
+ },
2357
+ {
2358
+ "epoch": 0.06569271497205609,
2359
+ "grad_norm": 5.027645111083984,
2360
+ "learning_rate": 0.00017277576955718847,
2361
+ "loss": 1.6962,
2362
+ "step": 335
2363
+ },
2364
+ {
2365
+ "epoch": 0.06588881262868909,
2366
+ "grad_norm": 6.2696685791015625,
2367
+ "learning_rate": 0.0001726160901751207,
2368
+ "loss": 1.4388,
2369
+ "step": 336
2370
+ },
2371
+ {
2372
+ "epoch": 0.0660849102853221,
2373
+ "grad_norm": 9.509906768798828,
2374
+ "learning_rate": 0.000172456018128486,
2375
+ "loss": 2.3173,
2376
+ "step": 337
2377
+ },
2378
+ {
2379
+ "epoch": 0.0662810079419551,
2380
+ "grad_norm": 5.882188320159912,
2381
+ "learning_rate": 0.00017229555428285864,
2382
+ "loss": 1.1832,
2383
+ "step": 338
2384
+ },
2385
+ {
2386
+ "epoch": 0.06647710559858809,
2387
+ "grad_norm": 8.857211112976074,
2388
+ "learning_rate": 0.00017213469950593156,
2389
+ "loss": 2.484,
2390
+ "step": 339
2391
+ },
2392
+ {
2393
+ "epoch": 0.0666732032552211,
2394
+ "grad_norm": 10.660289764404297,
2395
+ "learning_rate": 0.00017197345466751158,
2396
+ "loss": 2.5169,
2397
+ "step": 340
2398
+ },
2399
+ {
2400
+ "epoch": 0.0668693009118541,
2401
+ "grad_norm": 6.141770839691162,
2402
+ "learning_rate": 0.00017181182063951474,
2403
+ "loss": 1.601,
2404
+ "step": 341
2405
+ },
2406
+ {
2407
+ "epoch": 0.0668693009118541,
2408
+ "eval_loss": 0.4308730363845825,
2409
+ "eval_runtime": 77.758,
2410
+ "eval_samples_per_second": 27.624,
2411
+ "eval_steps_per_second": 13.812,
2412
+ "step": 341
2413
+ }
2414
+ ],
2415
+ "logging_steps": 1,
2416
+ "max_steps": 1361,
2417
+ "num_input_tokens_seen": 0,
2418
+ "num_train_epochs": 1,
2419
+ "save_steps": 341,
2420
+ "stateful_callbacks": {
2421
+ "TrainerControl": {
2422
+ "args": {
2423
+ "should_epoch_stop": false,
2424
+ "should_evaluate": false,
2425
+ "should_log": false,
2426
+ "should_save": true,
2427
+ "should_training_stop": false
2428
+ },
2429
+ "attributes": {}
2430
+ }
2431
+ },
2432
+ "total_flos": 7.34807651820503e+16,
2433
+ "train_batch_size": 2,
2434
+ "trial_name": null,
2435
+ "trial_params": null
2436
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b824b34abb9b483ba144d252745a6c7219fffc9242a3b936ca3b8b5c3590fbfe
3
+ size 6776