brthor commited on
Commit
35fa109
·
verified ·
1 Parent(s): 499edce

Upload full trainer checkpoint step=1466 (profile=llama3_2_1b_base, run_type=sft)

Browse files
.gitattributes CHANGED
@@ -64,3 +64,4 @@ meta-llama__llama-3.2-1b/epoch_0003/tokenizer.json filter=lfs diff=lfs merge=lfs
64
  meta-llama__llama-3.2-1b/epoch_0004/tokenizer.json filter=lfs diff=lfs merge=lfs -text
65
  meta-llama__llama-3.2-1b/epoch_0005/tokenizer.json filter=lfs diff=lfs merge=lfs -text
66
  meta-llama__llama-3.2-1b/epoch_0006/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
64
  meta-llama__llama-3.2-1b/epoch_0004/tokenizer.json filter=lfs diff=lfs merge=lfs -text
65
  meta-llama__llama-3.2-1b/epoch_0005/tokenizer.json filter=lfs diff=lfs merge=lfs -text
66
  meta-llama__llama-3.2-1b/epoch_0006/tokenizer.json filter=lfs diff=lfs merge=lfs -text
67
+ meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/tokenizer.json filter=lfs diff=lfs merge=lfs -text
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/README.md ADDED
@@ -0,0 +1,210 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/Llama-3.2-1B
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:unsloth/Llama-3.2-1B
7
+ - lora
8
+ - sft
9
+ - transformers
10
+ - trl
11
+ - unsloth
12
+ ---
13
+
14
+ # Model Card for Model ID
15
+
16
+ <!-- Provide a quick summary of what the model is/does. -->
17
+
18
+
19
+
20
+ ## Model Details
21
+
22
+ ### Model Description
23
+
24
+ <!-- Provide a longer summary of what this model is. -->
25
+
26
+
27
+
28
+ - **Developed by:** [More Information Needed]
29
+ - **Funded by [optional]:** [More Information Needed]
30
+ - **Shared by [optional]:** [More Information Needed]
31
+ - **Model type:** [More Information Needed]
32
+ - **Language(s) (NLP):** [More Information Needed]
33
+ - **License:** [More Information Needed]
34
+ - **Finetuned from model [optional]:** [More Information Needed]
35
+
36
+ ### Model Sources [optional]
37
+
38
+ <!-- Provide the basic links for the model. -->
39
+
40
+ - **Repository:** [More Information Needed]
41
+ - **Paper [optional]:** [More Information Needed]
42
+ - **Demo [optional]:** [More Information Needed]
43
+
44
+ ## Uses
45
+
46
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
47
+
48
+ ### Direct Use
49
+
50
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
51
+
52
+ [More Information Needed]
53
+
54
+ ### Downstream Use [optional]
55
+
56
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
57
+
58
+ [More Information Needed]
59
+
60
+ ### Out-of-Scope Use
61
+
62
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
63
+
64
+ [More Information Needed]
65
+
66
+ ## Bias, Risks, and Limitations
67
+
68
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
69
+
70
+ [More Information Needed]
71
+
72
+ ### Recommendations
73
+
74
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
75
+
76
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
77
+
78
+ ## How to Get Started with the Model
79
+
80
+ Use the code below to get started with the model.
81
+
82
+ [More Information Needed]
83
+
84
+ ## Training Details
85
+
86
+ ### Training Data
87
+
88
+ <!-- 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. -->
89
+
90
+ [More Information Needed]
91
+
92
+ ### Training Procedure
93
+
94
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
95
+
96
+ #### Preprocessing [optional]
97
+
98
+ [More Information Needed]
99
+
100
+
101
+ #### Training Hyperparameters
102
+
103
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
104
+
105
+ #### Speeds, Sizes, Times [optional]
106
+
107
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
108
+
109
+ [More Information Needed]
110
+
111
+ ## Evaluation
112
+
113
+ <!-- This section describes the evaluation protocols and provides the results. -->
114
+
115
+ ### Testing Data, Factors & Metrics
116
+
117
+ #### Testing Data
118
+
119
+ <!-- This should link to a Dataset Card if possible. -->
120
+
121
+ [More Information Needed]
122
+
123
+ #### Factors
124
+
125
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
126
+
127
+ [More Information Needed]
128
+
129
+ #### Metrics
130
+
131
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
132
+
133
+ [More Information Needed]
134
+
135
+ ### Results
136
+
137
+ [More Information Needed]
138
+
139
+ #### Summary
140
+
141
+
142
+
143
+ ## Model Examination [optional]
144
+
145
+ <!-- Relevant interpretability work for the model goes here -->
146
+
147
+ [More Information Needed]
148
+
149
+ ## Environmental Impact
150
+
151
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
152
+
153
+ 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).
154
+
155
+ - **Hardware Type:** [More Information Needed]
156
+ - **Hours used:** [More Information Needed]
157
+ - **Cloud Provider:** [More Information Needed]
158
+ - **Compute Region:** [More Information Needed]
159
+ - **Carbon Emitted:** [More Information Needed]
160
+
161
+ ## Technical Specifications [optional]
162
+
163
+ ### Model Architecture and Objective
164
+
165
+ [More Information Needed]
166
+
167
+ ### Compute Infrastructure
168
+
169
+ [More Information Needed]
170
+
171
+ #### Hardware
172
+
173
+ [More Information Needed]
174
+
175
+ #### Software
176
+
177
+ [More Information Needed]
178
+
179
+ ## Citation [optional]
180
+
181
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
182
+
183
+ **BibTeX:**
184
+
185
+ [More Information Needed]
186
+
187
+ **APA:**
188
+
189
+ [More Information Needed]
190
+
191
+ ## Glossary [optional]
192
+
193
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
194
+
195
+ [More Information Needed]
196
+
197
+ ## More Information [optional]
198
+
199
+ [More Information Needed]
200
+
201
+ ## Model Card Authors [optional]
202
+
203
+ [More Information Needed]
204
+
205
+ ## Model Card Contact
206
+
207
+ [More Information Needed]
208
+ ### Framework versions
209
+
210
+ - PEFT 0.18.1
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/adapter_config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": {
6
+ "base_model_class": "LlamaForCausalLM",
7
+ "parent_library": "transformers.models.llama.modeling_llama",
8
+ "unsloth_fixed": true
9
+ },
10
+ "base_model_name_or_path": "unsloth/Llama-3.2-1B",
11
+ "bias": "none",
12
+ "corda_config": null,
13
+ "ensure_weight_tying": false,
14
+ "eva_config": null,
15
+ "exclude_modules": null,
16
+ "fan_in_fan_out": false,
17
+ "inference_mode": true,
18
+ "init_lora_weights": true,
19
+ "layer_replication": null,
20
+ "layers_pattern": null,
21
+ "layers_to_transform": null,
22
+ "loftq_config": {},
23
+ "lora_alpha": 16,
24
+ "lora_bias": false,
25
+ "lora_dropout": 0.0,
26
+ "megatron_config": null,
27
+ "megatron_core": "megatron.core",
28
+ "modules_to_save": null,
29
+ "peft_type": "LORA",
30
+ "peft_version": "0.18.1",
31
+ "qalora_group_size": 16,
32
+ "r": 16,
33
+ "rank_pattern": {},
34
+ "revision": null,
35
+ "target_modules": [
36
+ "q_proj",
37
+ "k_proj",
38
+ "gate_proj",
39
+ "o_proj",
40
+ "down_proj",
41
+ "v_proj",
42
+ "up_proj"
43
+ ],
44
+ "target_parameters": null,
45
+ "task_type": "CAUSAL_LM",
46
+ "trainable_token_indices": null,
47
+ "use_dora": false,
48
+ "use_qalora": false,
49
+ "use_rslora": false
50
+ }
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8905a6c2198f3eeb51bacd845709c1a9bd7773d97ab4ef76c686db7bbe522801
3
+ size 45118424
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/chat_template.jinja ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ messages[0]['content'] + '
2
+
3
+ ' }}{% set loop_messages = messages[1:] %}{% else %}{{ '' + '
4
+
5
+ ' }}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}{{ '### Instruction:
6
+ ' + message['content'] + '
7
+
8
+ ' }}{% elif message['role'] == 'assistant' %}{{ '### Response:
9
+ ' + message['content'] + eos_token + '
10
+
11
+ ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '### Response:
12
+ ' }}{% endif %}
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e48227cdedb276b8390f527946f0087285f2308d084b490a19592e6bf7541ff4
3
+ size 23162187
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ccb8eeb935749fc43744e0a5eeacdf6f0f10253be15266a497cbca0ffaa2573
3
+ size 14645
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:adf5bf1180c4073f3c778c1ab49bbe225838d3c7885b46f176a1b30b405c7f03
3
+ size 1465
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
3
+ size 17209920
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/tokenizer_config.json ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "backend": "tokenizers",
3
+ "bos_token": "<|begin_of_text|>",
4
+ "clean_up_tokenization_spaces": true,
5
+ "eos_token": "<|end_of_text|>",
6
+ "from_slow": true,
7
+ "is_local": false,
8
+ "legacy": false,
9
+ "model_input_names": [
10
+ "input_ids",
11
+ "attention_mask"
12
+ ],
13
+ "model_max_length": 131072,
14
+ "pad_token": "<|finetune_right_pad_id|>",
15
+ "padding_side": "right",
16
+ "tokenizer_class": "TokenizersBackend",
17
+ "unk_token": null
18
+ }
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/trainer_state.json ADDED
@@ -0,0 +1,2101 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.24995737425404946,
6
+ "eval_steps": 1466,
7
+ "global_step": 1466,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0008525149190110827,
14
+ "grad_norm": 0.8702483177185059,
15
+ "learning_rate": 6.382978723404255e-07,
16
+ "loss": 0.7270183563232422,
17
+ "step": 5
18
+ },
19
+ {
20
+ "epoch": 0.0017050298380221654,
21
+ "grad_norm": 0.8312188982963562,
22
+ "learning_rate": 1.4361702127659573e-06,
23
+ "loss": 0.7593235015869141,
24
+ "step": 10
25
+ },
26
+ {
27
+ "epoch": 0.0025575447570332483,
28
+ "grad_norm": 0.9371886253356934,
29
+ "learning_rate": 2.2340425531914894e-06,
30
+ "loss": 0.7415130615234375,
31
+ "step": 15
32
+ },
33
+ {
34
+ "epoch": 0.0034100596760443308,
35
+ "grad_norm": 0.8715710043907166,
36
+ "learning_rate": 3.0319148936170214e-06,
37
+ "loss": 0.7387494087219239,
38
+ "step": 20
39
+ },
40
+ {
41
+ "epoch": 0.004262574595055414,
42
+ "grad_norm": 0.869061291217804,
43
+ "learning_rate": 3.829787234042553e-06,
44
+ "loss": 0.732928466796875,
45
+ "step": 25
46
+ },
47
+ {
48
+ "epoch": 0.005115089514066497,
49
+ "grad_norm": 0.9074509143829346,
50
+ "learning_rate": 4.627659574468085e-06,
51
+ "loss": 0.7359912872314454,
52
+ "step": 30
53
+ },
54
+ {
55
+ "epoch": 0.005967604433077579,
56
+ "grad_norm": 1.0012825727462769,
57
+ "learning_rate": 5.425531914893616e-06,
58
+ "loss": 0.6921219825744629,
59
+ "step": 35
60
+ },
61
+ {
62
+ "epoch": 0.0068201193520886615,
63
+ "grad_norm": 0.9422137141227722,
64
+ "learning_rate": 6.223404255319148e-06,
65
+ "loss": 0.6865067958831788,
66
+ "step": 40
67
+ },
68
+ {
69
+ "epoch": 0.0076726342710997444,
70
+ "grad_norm": 0.9773287773132324,
71
+ "learning_rate": 7.02127659574468e-06,
72
+ "loss": 0.6299760341644287,
73
+ "step": 45
74
+ },
75
+ {
76
+ "epoch": 0.008525149190110827,
77
+ "grad_norm": 1.1514697074890137,
78
+ "learning_rate": 7.819148936170211e-06,
79
+ "loss": 0.6246551513671875,
80
+ "step": 50
81
+ },
82
+ {
83
+ "epoch": 0.00937766410912191,
84
+ "grad_norm": 1.1929924488067627,
85
+ "learning_rate": 8.617021276595744e-06,
86
+ "loss": 0.5671340942382812,
87
+ "step": 55
88
+ },
89
+ {
90
+ "epoch": 0.010230179028132993,
91
+ "grad_norm": 1.2087507247924805,
92
+ "learning_rate": 9.414893617021275e-06,
93
+ "loss": 0.466497802734375,
94
+ "step": 60
95
+ },
96
+ {
97
+ "epoch": 0.011082693947144074,
98
+ "grad_norm": 1.3783831596374512,
99
+ "learning_rate": 1.0212765957446808e-05,
100
+ "loss": 0.3536498546600342,
101
+ "step": 65
102
+ },
103
+ {
104
+ "epoch": 0.011935208866155157,
105
+ "grad_norm": 0.7981624007225037,
106
+ "learning_rate": 1.101063829787234e-05,
107
+ "loss": 0.22803339958190919,
108
+ "step": 70
109
+ },
110
+ {
111
+ "epoch": 0.01278772378516624,
112
+ "grad_norm": 0.3521866798400879,
113
+ "learning_rate": 1.1808510638297872e-05,
114
+ "loss": 0.1623826026916504,
115
+ "step": 75
116
+ },
117
+ {
118
+ "epoch": 0.013640238704177323,
119
+ "grad_norm": 0.27423161268234253,
120
+ "learning_rate": 1.2606382978723403e-05,
121
+ "loss": 0.1479944944381714,
122
+ "step": 80
123
+ },
124
+ {
125
+ "epoch": 0.014492753623188406,
126
+ "grad_norm": 0.2307504117488861,
127
+ "learning_rate": 1.3404255319148936e-05,
128
+ "loss": 0.13179465532302856,
129
+ "step": 85
130
+ },
131
+ {
132
+ "epoch": 0.015345268542199489,
133
+ "grad_norm": 0.2505638301372528,
134
+ "learning_rate": 1.4202127659574466e-05,
135
+ "loss": 0.12060884237289429,
136
+ "step": 90
137
+ },
138
+ {
139
+ "epoch": 0.01619778346121057,
140
+ "grad_norm": 0.23193876445293427,
141
+ "learning_rate": 1.4999999999999999e-05,
142
+ "loss": 0.10533099174499512,
143
+ "step": 95
144
+ },
145
+ {
146
+ "epoch": 0.017050298380221655,
147
+ "grad_norm": 0.2267618179321289,
148
+ "learning_rate": 1.579787234042553e-05,
149
+ "loss": 0.11999905109405518,
150
+ "step": 100
151
+ },
152
+ {
153
+ "epoch": 0.017902813299232736,
154
+ "grad_norm": 0.22980229556560516,
155
+ "learning_rate": 1.659574468085106e-05,
156
+ "loss": 0.10567227602005005,
157
+ "step": 105
158
+ },
159
+ {
160
+ "epoch": 0.01875532821824382,
161
+ "grad_norm": 0.2573573589324951,
162
+ "learning_rate": 1.7393617021276596e-05,
163
+ "loss": 0.09509810209274291,
164
+ "step": 110
165
+ },
166
+ {
167
+ "epoch": 0.0196078431372549,
168
+ "grad_norm": 0.22669287025928497,
169
+ "learning_rate": 1.8191489361702127e-05,
170
+ "loss": 0.09332407712936401,
171
+ "step": 115
172
+ },
173
+ {
174
+ "epoch": 0.020460358056265986,
175
+ "grad_norm": 0.2708875834941864,
176
+ "learning_rate": 1.8989361702127655e-05,
177
+ "loss": 0.09526345729827881,
178
+ "step": 120
179
+ },
180
+ {
181
+ "epoch": 0.021312872975277068,
182
+ "grad_norm": 0.2242223024368286,
183
+ "learning_rate": 1.978723404255319e-05,
184
+ "loss": 0.09162800312042237,
185
+ "step": 125
186
+ },
187
+ {
188
+ "epoch": 0.02216538789428815,
189
+ "grad_norm": 0.28643250465393066,
190
+ "learning_rate": 2.0585106382978724e-05,
191
+ "loss": 0.08713340759277344,
192
+ "step": 130
193
+ },
194
+ {
195
+ "epoch": 0.023017902813299233,
196
+ "grad_norm": 0.2659653425216675,
197
+ "learning_rate": 2.1382978723404255e-05,
198
+ "loss": 0.08405932188034057,
199
+ "step": 135
200
+ },
201
+ {
202
+ "epoch": 0.023870417732310314,
203
+ "grad_norm": 0.23080135881900787,
204
+ "learning_rate": 2.2180851063829783e-05,
205
+ "loss": 0.07873657941818238,
206
+ "step": 140
207
+ },
208
+ {
209
+ "epoch": 0.0247229326513214,
210
+ "grad_norm": 0.21435977518558502,
211
+ "learning_rate": 2.2978723404255317e-05,
212
+ "loss": 0.06758193373680114,
213
+ "step": 145
214
+ },
215
+ {
216
+ "epoch": 0.02557544757033248,
217
+ "grad_norm": 0.20372840762138367,
218
+ "learning_rate": 2.377659574468085e-05,
219
+ "loss": 0.06967071890830993,
220
+ "step": 150
221
+ },
222
+ {
223
+ "epoch": 0.026427962489343565,
224
+ "grad_norm": 0.20348776876926422,
225
+ "learning_rate": 2.457446808510638e-05,
226
+ "loss": 0.0636233150959015,
227
+ "step": 155
228
+ },
229
+ {
230
+ "epoch": 0.027280477408354646,
231
+ "grad_norm": 0.21693550050258636,
232
+ "learning_rate": 2.537234042553191e-05,
233
+ "loss": 0.0691483736038208,
234
+ "step": 160
235
+ },
236
+ {
237
+ "epoch": 0.028132992327365727,
238
+ "grad_norm": 0.2008240669965744,
239
+ "learning_rate": 2.6170212765957446e-05,
240
+ "loss": 0.05855585932731629,
241
+ "step": 165
242
+ },
243
+ {
244
+ "epoch": 0.028985507246376812,
245
+ "grad_norm": 0.22839540243148804,
246
+ "learning_rate": 2.6968085106382977e-05,
247
+ "loss": 0.06012563109397888,
248
+ "step": 170
249
+ },
250
+ {
251
+ "epoch": 0.029838022165387893,
252
+ "grad_norm": 0.20269300043582916,
253
+ "learning_rate": 2.7765957446808508e-05,
254
+ "loss": 0.054646140336990355,
255
+ "step": 175
256
+ },
257
+ {
258
+ "epoch": 0.030690537084398978,
259
+ "grad_norm": 0.25422361493110657,
260
+ "learning_rate": 2.856382978723404e-05,
261
+ "loss": 0.06128175258636474,
262
+ "step": 180
263
+ },
264
+ {
265
+ "epoch": 0.03154305200341006,
266
+ "grad_norm": 0.1701997071504593,
267
+ "learning_rate": 2.9361702127659574e-05,
268
+ "loss": 0.05077495574951172,
269
+ "step": 185
270
+ },
271
+ {
272
+ "epoch": 0.03239556692242114,
273
+ "grad_norm": 0.2417565882205963,
274
+ "learning_rate": 3.0159574468085105e-05,
275
+ "loss": 0.04601706862449646,
276
+ "step": 190
277
+ },
278
+ {
279
+ "epoch": 0.03324808184143223,
280
+ "grad_norm": 0.2608591318130493,
281
+ "learning_rate": 3.0957446808510636e-05,
282
+ "loss": 0.05892879366874695,
283
+ "step": 195
284
+ },
285
+ {
286
+ "epoch": 0.03410059676044331,
287
+ "grad_norm": 0.2680520713329315,
288
+ "learning_rate": 3.175531914893617e-05,
289
+ "loss": 0.047013303637504576,
290
+ "step": 200
291
+ },
292
+ {
293
+ "epoch": 0.03495311167945439,
294
+ "grad_norm": 0.22654250264167786,
295
+ "learning_rate": 3.25531914893617e-05,
296
+ "loss": 0.05578266978263855,
297
+ "step": 205
298
+ },
299
+ {
300
+ "epoch": 0.03580562659846547,
301
+ "grad_norm": 0.23171734809875488,
302
+ "learning_rate": 3.3351063829787226e-05,
303
+ "loss": 0.04092026948928833,
304
+ "step": 210
305
+ },
306
+ {
307
+ "epoch": 0.03665814151747655,
308
+ "grad_norm": 0.3024536669254303,
309
+ "learning_rate": 3.414893617021276e-05,
310
+ "loss": 0.048113960027694705,
311
+ "step": 215
312
+ },
313
+ {
314
+ "epoch": 0.03751065643648764,
315
+ "grad_norm": 0.21944984793663025,
316
+ "learning_rate": 3.4946808510638296e-05,
317
+ "loss": 0.06023481488227844,
318
+ "step": 220
319
+ },
320
+ {
321
+ "epoch": 0.03836317135549872,
322
+ "grad_norm": 0.21161283552646637,
323
+ "learning_rate": 3.574468085106383e-05,
324
+ "loss": 0.04402200579643249,
325
+ "step": 225
326
+ },
327
+ {
328
+ "epoch": 0.0392156862745098,
329
+ "grad_norm": 0.22785748541355133,
330
+ "learning_rate": 3.654255319148936e-05,
331
+ "loss": 0.04179250001907349,
332
+ "step": 230
333
+ },
334
+ {
335
+ "epoch": 0.040068201193520885,
336
+ "grad_norm": 0.25685593485832214,
337
+ "learning_rate": 3.734042553191489e-05,
338
+ "loss": 0.04237877726554871,
339
+ "step": 235
340
+ },
341
+ {
342
+ "epoch": 0.04092071611253197,
343
+ "grad_norm": 0.2640145421028137,
344
+ "learning_rate": 3.813829787234042e-05,
345
+ "loss": 0.050156861543655396,
346
+ "step": 240
347
+ },
348
+ {
349
+ "epoch": 0.041773231031543054,
350
+ "grad_norm": 0.2713942229747772,
351
+ "learning_rate": 3.8936170212765955e-05,
352
+ "loss": 0.0409070074558258,
353
+ "step": 245
354
+ },
355
+ {
356
+ "epoch": 0.042625745950554135,
357
+ "grad_norm": 0.23422108590602875,
358
+ "learning_rate": 3.973404255319149e-05,
359
+ "loss": 0.0364731103181839,
360
+ "step": 250
361
+ },
362
+ {
363
+ "epoch": 0.043478260869565216,
364
+ "grad_norm": 0.19113923609256744,
365
+ "learning_rate": 4.053191489361702e-05,
366
+ "loss": 0.037750616669654846,
367
+ "step": 255
368
+ },
369
+ {
370
+ "epoch": 0.0443307757885763,
371
+ "grad_norm": 0.24328471720218658,
372
+ "learning_rate": 4.1329787234042545e-05,
373
+ "loss": 0.0389731228351593,
374
+ "step": 260
375
+ },
376
+ {
377
+ "epoch": 0.045183290707587385,
378
+ "grad_norm": 0.15357369184494019,
379
+ "learning_rate": 4.2127659574468086e-05,
380
+ "loss": 0.0336186945438385,
381
+ "step": 265
382
+ },
383
+ {
384
+ "epoch": 0.04603580562659847,
385
+ "grad_norm": 0.24376599490642548,
386
+ "learning_rate": 4.2925531914893614e-05,
387
+ "loss": 0.03668908774852753,
388
+ "step": 270
389
+ },
390
+ {
391
+ "epoch": 0.04688832054560955,
392
+ "grad_norm": 0.29594436287879944,
393
+ "learning_rate": 4.372340425531914e-05,
394
+ "loss": 0.04451665282249451,
395
+ "step": 275
396
+ },
397
+ {
398
+ "epoch": 0.04774083546462063,
399
+ "grad_norm": 0.19453556835651398,
400
+ "learning_rate": 4.452127659574468e-05,
401
+ "loss": 0.03592076897621155,
402
+ "step": 280
403
+ },
404
+ {
405
+ "epoch": 0.04859335038363171,
406
+ "grad_norm": 0.2916566729545593,
407
+ "learning_rate": 4.5319148936170204e-05,
408
+ "loss": 0.039958652853965757,
409
+ "step": 285
410
+ },
411
+ {
412
+ "epoch": 0.0494458653026428,
413
+ "grad_norm": 0.21568676829338074,
414
+ "learning_rate": 4.6117021276595746e-05,
415
+ "loss": 0.03157965838909149,
416
+ "step": 290
417
+ },
418
+ {
419
+ "epoch": 0.05029838022165388,
420
+ "grad_norm": 0.26071974635124207,
421
+ "learning_rate": 4.6914893617021274e-05,
422
+ "loss": 0.04068298935890198,
423
+ "step": 295
424
+ },
425
+ {
426
+ "epoch": 0.05115089514066496,
427
+ "grad_norm": 0.3324560225009918,
428
+ "learning_rate": 4.77127659574468e-05,
429
+ "loss": 0.03286807537078858,
430
+ "step": 300
431
+ },
432
+ {
433
+ "epoch": 0.05200341005967604,
434
+ "grad_norm": 0.28684696555137634,
435
+ "learning_rate": 4.851063829787234e-05,
436
+ "loss": 0.040812617540359496,
437
+ "step": 305
438
+ },
439
+ {
440
+ "epoch": 0.05285592497868713,
441
+ "grad_norm": 0.23505407571792603,
442
+ "learning_rate": 4.930851063829787e-05,
443
+ "loss": 0.031041297316551208,
444
+ "step": 310
445
+ },
446
+ {
447
+ "epoch": 0.05370843989769821,
448
+ "grad_norm": 0.16107261180877686,
449
+ "learning_rate": 5.01063829787234e-05,
450
+ "loss": 0.02798473834991455,
451
+ "step": 315
452
+ },
453
+ {
454
+ "epoch": 0.05456095481670929,
455
+ "grad_norm": 0.26245057582855225,
456
+ "learning_rate": 5.090425531914893e-05,
457
+ "loss": 0.029034197330474854,
458
+ "step": 320
459
+ },
460
+ {
461
+ "epoch": 0.05541346973572037,
462
+ "grad_norm": 0.28591933846473694,
463
+ "learning_rate": 5.170212765957446e-05,
464
+ "loss": 0.03308171033859253,
465
+ "step": 325
466
+ },
467
+ {
468
+ "epoch": 0.056265984654731455,
469
+ "grad_norm": 0.24634616076946259,
470
+ "learning_rate": 5.2499999999999995e-05,
471
+ "loss": 0.02535790503025055,
472
+ "step": 330
473
+ },
474
+ {
475
+ "epoch": 0.05711849957374254,
476
+ "grad_norm": 0.28306257724761963,
477
+ "learning_rate": 5.329787234042553e-05,
478
+ "loss": 0.031932130455970764,
479
+ "step": 335
480
+ },
481
+ {
482
+ "epoch": 0.057971014492753624,
483
+ "grad_norm": 0.22408922016620636,
484
+ "learning_rate": 5.409574468085106e-05,
485
+ "loss": 0.0343563050031662,
486
+ "step": 340
487
+ },
488
+ {
489
+ "epoch": 0.058823529411764705,
490
+ "grad_norm": 0.3133672773838043,
491
+ "learning_rate": 5.4893617021276586e-05,
492
+ "loss": 0.03774818181991577,
493
+ "step": 345
494
+ },
495
+ {
496
+ "epoch": 0.059676044330775786,
497
+ "grad_norm": 0.33814433217048645,
498
+ "learning_rate": 5.569148936170213e-05,
499
+ "loss": 0.03156721591949463,
500
+ "step": 350
501
+ },
502
+ {
503
+ "epoch": 0.060528559249786874,
504
+ "grad_norm": 0.17259150743484497,
505
+ "learning_rate": 5.6489361702127655e-05,
506
+ "loss": 0.028145447373390198,
507
+ "step": 355
508
+ },
509
+ {
510
+ "epoch": 0.061381074168797956,
511
+ "grad_norm": 0.25732940435409546,
512
+ "learning_rate": 5.728723404255319e-05,
513
+ "loss": 0.037197616696357724,
514
+ "step": 360
515
+ },
516
+ {
517
+ "epoch": 0.06223358908780904,
518
+ "grad_norm": 0.22246433794498444,
519
+ "learning_rate": 5.808510638297872e-05,
520
+ "loss": 0.02986128032207489,
521
+ "step": 365
522
+ },
523
+ {
524
+ "epoch": 0.06308610400682012,
525
+ "grad_norm": 0.3112792372703552,
526
+ "learning_rate": 5.8882978723404245e-05,
527
+ "loss": 0.03034401834011078,
528
+ "step": 370
529
+ },
530
+ {
531
+ "epoch": 0.0639386189258312,
532
+ "grad_norm": 0.2766200006008148,
533
+ "learning_rate": 5.9680851063829786e-05,
534
+ "loss": 0.03152766227722168,
535
+ "step": 375
536
+ },
537
+ {
538
+ "epoch": 0.06479113384484228,
539
+ "grad_norm": 0.2531411945819855,
540
+ "learning_rate": 6.0478723404255314e-05,
541
+ "loss": 0.031791338324546815,
542
+ "step": 380
543
+ },
544
+ {
545
+ "epoch": 0.06564364876385337,
546
+ "grad_norm": 0.29931405186653137,
547
+ "learning_rate": 6.127659574468084e-05,
548
+ "loss": 0.028663474321365356,
549
+ "step": 385
550
+ },
551
+ {
552
+ "epoch": 0.06649616368286446,
553
+ "grad_norm": 0.2471776157617569,
554
+ "learning_rate": 6.207446808510638e-05,
555
+ "loss": 0.03083355724811554,
556
+ "step": 390
557
+ },
558
+ {
559
+ "epoch": 0.06734867860187553,
560
+ "grad_norm": 0.23945043981075287,
561
+ "learning_rate": 6.287234042553191e-05,
562
+ "loss": 0.030578643083572388,
563
+ "step": 395
564
+ },
565
+ {
566
+ "epoch": 0.06820119352088662,
567
+ "grad_norm": 0.30501049757003784,
568
+ "learning_rate": 6.367021276595743e-05,
569
+ "loss": 0.029327672719955445,
570
+ "step": 400
571
+ },
572
+ {
573
+ "epoch": 0.06905370843989769,
574
+ "grad_norm": 0.2621583044528961,
575
+ "learning_rate": 6.446808510638298e-05,
576
+ "loss": 0.030047428607940675,
577
+ "step": 405
578
+ },
579
+ {
580
+ "epoch": 0.06990622335890878,
581
+ "grad_norm": 0.29637840390205383,
582
+ "learning_rate": 6.52659574468085e-05,
583
+ "loss": 0.032990914583206174,
584
+ "step": 410
585
+ },
586
+ {
587
+ "epoch": 0.07075873827791987,
588
+ "grad_norm": 0.2790025472640991,
589
+ "learning_rate": 6.606382978723404e-05,
590
+ "loss": 0.02616017162799835,
591
+ "step": 415
592
+ },
593
+ {
594
+ "epoch": 0.07161125319693094,
595
+ "grad_norm": 0.2781897783279419,
596
+ "learning_rate": 6.686170212765957e-05,
597
+ "loss": 0.025333160161972047,
598
+ "step": 420
599
+ },
600
+ {
601
+ "epoch": 0.07246376811594203,
602
+ "grad_norm": 0.26609721779823303,
603
+ "learning_rate": 6.765957446808509e-05,
604
+ "loss": 0.024090659618377686,
605
+ "step": 425
606
+ },
607
+ {
608
+ "epoch": 0.0733162830349531,
609
+ "grad_norm": 0.22948430478572845,
610
+ "learning_rate": 6.845744680851064e-05,
611
+ "loss": 0.030253008008003235,
612
+ "step": 430
613
+ },
614
+ {
615
+ "epoch": 0.0741687979539642,
616
+ "grad_norm": 0.21689315140247345,
617
+ "learning_rate": 6.925531914893616e-05,
618
+ "loss": 0.02709486484527588,
619
+ "step": 435
620
+ },
621
+ {
622
+ "epoch": 0.07502131287297528,
623
+ "grad_norm": 0.27341127395629883,
624
+ "learning_rate": 7.00531914893617e-05,
625
+ "loss": 0.02555806338787079,
626
+ "step": 440
627
+ },
628
+ {
629
+ "epoch": 0.07587382779198636,
630
+ "grad_norm": 0.3059982359409332,
631
+ "learning_rate": 7.085106382978723e-05,
632
+ "loss": 0.02590309679508209,
633
+ "step": 445
634
+ },
635
+ {
636
+ "epoch": 0.07672634271099744,
637
+ "grad_norm": 0.29078978300094604,
638
+ "learning_rate": 7.164893617021276e-05,
639
+ "loss": 0.03434495031833649,
640
+ "step": 450
641
+ },
642
+ {
643
+ "epoch": 0.07757885763000852,
644
+ "grad_norm": 0.1730230152606964,
645
+ "learning_rate": 7.244680851063829e-05,
646
+ "loss": 0.027434590458869933,
647
+ "step": 455
648
+ },
649
+ {
650
+ "epoch": 0.0784313725490196,
651
+ "grad_norm": 0.23046822845935822,
652
+ "learning_rate": 7.324468085106382e-05,
653
+ "loss": 0.024511393904685975,
654
+ "step": 460
655
+ },
656
+ {
657
+ "epoch": 0.0792838874680307,
658
+ "grad_norm": 0.21193982660770416,
659
+ "learning_rate": 7.404255319148935e-05,
660
+ "loss": 0.028409674763679504,
661
+ "step": 465
662
+ },
663
+ {
664
+ "epoch": 0.08013640238704177,
665
+ "grad_norm": 0.14851854741573334,
666
+ "learning_rate": 7.484042553191489e-05,
667
+ "loss": 0.022292758524417877,
668
+ "step": 470
669
+ },
670
+ {
671
+ "epoch": 0.08098891730605286,
672
+ "grad_norm": 0.2605791985988617,
673
+ "learning_rate": 7.499999439800074e-05,
674
+ "loss": 0.021705128252506256,
675
+ "step": 475
676
+ },
677
+ {
678
+ "epoch": 0.08184143222506395,
679
+ "grad_norm": 0.3485381603240967,
680
+ "learning_rate": 7.499997163988164e-05,
681
+ "loss": 0.027302873134613038,
682
+ "step": 480
683
+ },
684
+ {
685
+ "epoch": 0.08269394714407502,
686
+ "grad_norm": 0.2511079013347626,
687
+ "learning_rate": 7.499993137552834e-05,
688
+ "loss": 0.022480341792106628,
689
+ "step": 485
690
+ },
691
+ {
692
+ "epoch": 0.08354646206308611,
693
+ "grad_norm": 0.23074299097061157,
694
+ "learning_rate": 7.499987360495964e-05,
695
+ "loss": 0.032788214087486264,
696
+ "step": 490
697
+ },
698
+ {
699
+ "epoch": 0.08439897698209718,
700
+ "grad_norm": 0.2591882348060608,
701
+ "learning_rate": 7.499979832820255e-05,
702
+ "loss": 0.030076757073402405,
703
+ "step": 495
704
+ },
705
+ {
706
+ "epoch": 0.08525149190110827,
707
+ "grad_norm": 0.17042620480060577,
708
+ "learning_rate": 7.499970554529216e-05,
709
+ "loss": 0.023710650205612183,
710
+ "step": 500
711
+ },
712
+ {
713
+ "epoch": 0.08610400682011936,
714
+ "grad_norm": 0.2072867602109909,
715
+ "learning_rate": 7.49995952562718e-05,
716
+ "loss": 0.02641989290714264,
717
+ "step": 505
718
+ },
719
+ {
720
+ "epoch": 0.08695652173913043,
721
+ "grad_norm": 0.22865015268325806,
722
+ "learning_rate": 7.499946746119296e-05,
723
+ "loss": 0.026545605063438414,
724
+ "step": 510
725
+ },
726
+ {
727
+ "epoch": 0.08780903665814152,
728
+ "grad_norm": 0.18163245916366577,
729
+ "learning_rate": 7.499932216011531e-05,
730
+ "loss": 0.022438524663448332,
731
+ "step": 515
732
+ },
733
+ {
734
+ "epoch": 0.0886615515771526,
735
+ "grad_norm": 0.21268488466739655,
736
+ "learning_rate": 7.499915935310667e-05,
737
+ "loss": 0.02982390522956848,
738
+ "step": 520
739
+ },
740
+ {
741
+ "epoch": 0.08951406649616368,
742
+ "grad_norm": 0.28650423884391785,
743
+ "learning_rate": 7.499897904024303e-05,
744
+ "loss": 0.02888711094856262,
745
+ "step": 525
746
+ },
747
+ {
748
+ "epoch": 0.09036658141517477,
749
+ "grad_norm": 0.17938083410263062,
750
+ "learning_rate": 7.499878122160858e-05,
751
+ "loss": 0.025293585658073426,
752
+ "step": 530
753
+ },
754
+ {
755
+ "epoch": 0.09121909633418585,
756
+ "grad_norm": 0.21884122490882874,
757
+ "learning_rate": 7.499856589729569e-05,
758
+ "loss": 0.029227742552757265,
759
+ "step": 535
760
+ },
761
+ {
762
+ "epoch": 0.09207161125319693,
763
+ "grad_norm": 0.24997380375862122,
764
+ "learning_rate": 7.499833306740485e-05,
765
+ "loss": 0.026770782470703126,
766
+ "step": 540
767
+ },
768
+ {
769
+ "epoch": 0.09292412617220801,
770
+ "grad_norm": 0.1759740710258484,
771
+ "learning_rate": 7.499808273204476e-05,
772
+ "loss": 0.020788520574569702,
773
+ "step": 545
774
+ },
775
+ {
776
+ "epoch": 0.0937766410912191,
777
+ "grad_norm": 0.21122577786445618,
778
+ "learning_rate": 7.499781489133228e-05,
779
+ "loss": 0.02833372950553894,
780
+ "step": 550
781
+ },
782
+ {
783
+ "epoch": 0.09462915601023018,
784
+ "grad_norm": 0.17823946475982666,
785
+ "learning_rate": 7.499752954539245e-05,
786
+ "loss": 0.02394527941942215,
787
+ "step": 555
788
+ },
789
+ {
790
+ "epoch": 0.09548167092924126,
791
+ "grad_norm": 0.22122310101985931,
792
+ "learning_rate": 7.49972266943585e-05,
793
+ "loss": 0.022127175331115724,
794
+ "step": 560
795
+ },
796
+ {
797
+ "epoch": 0.09633418584825235,
798
+ "grad_norm": 0.25811049342155457,
799
+ "learning_rate": 7.499690633837178e-05,
800
+ "loss": 0.024325409531593324,
801
+ "step": 565
802
+ },
803
+ {
804
+ "epoch": 0.09718670076726342,
805
+ "grad_norm": 0.22042953968048096,
806
+ "learning_rate": 7.499656847758187e-05,
807
+ "loss": 0.02605798840522766,
808
+ "step": 570
809
+ },
810
+ {
811
+ "epoch": 0.09803921568627451,
812
+ "grad_norm": 0.2860932946205139,
813
+ "learning_rate": 7.499621311214646e-05,
814
+ "loss": 0.026523932814598083,
815
+ "step": 575
816
+ },
817
+ {
818
+ "epoch": 0.0988917306052856,
819
+ "grad_norm": 0.1485099345445633,
820
+ "learning_rate": 7.499584024223149e-05,
821
+ "loss": 0.02095140814781189,
822
+ "step": 580
823
+ },
824
+ {
825
+ "epoch": 0.09974424552429667,
826
+ "grad_norm": 0.19851070642471313,
827
+ "learning_rate": 7.499544986801099e-05,
828
+ "loss": 0.02706519663333893,
829
+ "step": 585
830
+ },
831
+ {
832
+ "epoch": 0.10059676044330776,
833
+ "grad_norm": 0.25508561730384827,
834
+ "learning_rate": 7.499504198966722e-05,
835
+ "loss": 0.024473744630813598,
836
+ "step": 590
837
+ },
838
+ {
839
+ "epoch": 0.10144927536231885,
840
+ "grad_norm": 0.17818157374858856,
841
+ "learning_rate": 7.499461660739059e-05,
842
+ "loss": 0.026624396443367004,
843
+ "step": 595
844
+ },
845
+ {
846
+ "epoch": 0.10230179028132992,
847
+ "grad_norm": 0.16915369033813477,
848
+ "learning_rate": 7.499417372137968e-05,
849
+ "loss": 0.02158043682575226,
850
+ "step": 600
851
+ },
852
+ {
853
+ "epoch": 0.10315430520034101,
854
+ "grad_norm": 0.19104211032390594,
855
+ "learning_rate": 7.499371333184125e-05,
856
+ "loss": 0.02661653459072113,
857
+ "step": 605
858
+ },
859
+ {
860
+ "epoch": 0.10400682011935208,
861
+ "grad_norm": 0.19765061140060425,
862
+ "learning_rate": 7.49932354389902e-05,
863
+ "loss": 0.02049233466386795,
864
+ "step": 610
865
+ },
866
+ {
867
+ "epoch": 0.10485933503836317,
868
+ "grad_norm": 0.20652534067630768,
869
+ "learning_rate": 7.499274004304964e-05,
870
+ "loss": 0.026903703808784485,
871
+ "step": 615
872
+ },
873
+ {
874
+ "epoch": 0.10571184995737426,
875
+ "grad_norm": 0.19068656861782074,
876
+ "learning_rate": 7.499222714425087e-05,
877
+ "loss": 0.02817963659763336,
878
+ "step": 620
879
+ },
880
+ {
881
+ "epoch": 0.10656436487638533,
882
+ "grad_norm": 0.2244884967803955,
883
+ "learning_rate": 7.499169674283328e-05,
884
+ "loss": 0.022825565934181214,
885
+ "step": 625
886
+ },
887
+ {
888
+ "epoch": 0.10741687979539642,
889
+ "grad_norm": 0.15769504010677338,
890
+ "learning_rate": 7.499114883904451e-05,
891
+ "loss": 0.023618267476558687,
892
+ "step": 630
893
+ },
894
+ {
895
+ "epoch": 0.1082693947144075,
896
+ "grad_norm": 0.2758719325065613,
897
+ "learning_rate": 7.499058343314031e-05,
898
+ "loss": 0.027484145760536195,
899
+ "step": 635
900
+ },
901
+ {
902
+ "epoch": 0.10912190963341858,
903
+ "grad_norm": 0.14344681799411774,
904
+ "learning_rate": 7.499000052538467e-05,
905
+ "loss": 0.02188411056995392,
906
+ "step": 640
907
+ },
908
+ {
909
+ "epoch": 0.10997442455242967,
910
+ "grad_norm": 0.21053647994995117,
911
+ "learning_rate": 7.498940011604968e-05,
912
+ "loss": 0.024330951273441315,
913
+ "step": 645
914
+ },
915
+ {
916
+ "epoch": 0.11082693947144075,
917
+ "grad_norm": 0.21875615417957306,
918
+ "learning_rate": 7.498878220541564e-05,
919
+ "loss": 0.024424785375595094,
920
+ "step": 650
921
+ },
922
+ {
923
+ "epoch": 0.11167945439045183,
924
+ "grad_norm": 0.123925119638443,
925
+ "learning_rate": 7.498814679377101e-05,
926
+ "loss": 0.02317858040332794,
927
+ "step": 655
928
+ },
929
+ {
930
+ "epoch": 0.11253196930946291,
931
+ "grad_norm": 0.14151433110237122,
932
+ "learning_rate": 7.498749388141243e-05,
933
+ "loss": 0.022727210819721223,
934
+ "step": 660
935
+ },
936
+ {
937
+ "epoch": 0.113384484228474,
938
+ "grad_norm": 0.18616050481796265,
939
+ "learning_rate": 7.498682346864469e-05,
940
+ "loss": 0.01945887804031372,
941
+ "step": 665
942
+ },
943
+ {
944
+ "epoch": 0.11423699914748509,
945
+ "grad_norm": 0.1922500878572464,
946
+ "learning_rate": 7.498613555578076e-05,
947
+ "loss": 0.022058220207691194,
948
+ "step": 670
949
+ },
950
+ {
951
+ "epoch": 0.11508951406649616,
952
+ "grad_norm": 0.18918555974960327,
953
+ "learning_rate": 7.49854301431418e-05,
954
+ "loss": 0.0243424192070961,
955
+ "step": 675
956
+ },
957
+ {
958
+ "epoch": 0.11594202898550725,
959
+ "grad_norm": 0.16539838910102844,
960
+ "learning_rate": 7.49847072310571e-05,
961
+ "loss": 0.020285174250602722,
962
+ "step": 680
963
+ },
964
+ {
965
+ "epoch": 0.11679454390451834,
966
+ "grad_norm": 0.18860585987567902,
967
+ "learning_rate": 7.498396681986413e-05,
968
+ "loss": 0.023155918717384337,
969
+ "step": 685
970
+ },
971
+ {
972
+ "epoch": 0.11764705882352941,
973
+ "grad_norm": 0.14543582499027252,
974
+ "learning_rate": 7.498320890990857e-05,
975
+ "loss": 0.027234339714050294,
976
+ "step": 690
977
+ },
978
+ {
979
+ "epoch": 0.1184995737425405,
980
+ "grad_norm": 0.19847829639911652,
981
+ "learning_rate": 7.498243350154423e-05,
982
+ "loss": 0.023280018568038942,
983
+ "step": 695
984
+ },
985
+ {
986
+ "epoch": 0.11935208866155157,
987
+ "grad_norm": 0.17652468383312225,
988
+ "learning_rate": 7.498164059513307e-05,
989
+ "loss": 0.01944337636232376,
990
+ "step": 700
991
+ },
992
+ {
993
+ "epoch": 0.12020460358056266,
994
+ "grad_norm": 0.17437686026096344,
995
+ "learning_rate": 7.498083019104527e-05,
996
+ "loss": 0.024408455193042754,
997
+ "step": 705
998
+ },
999
+ {
1000
+ "epoch": 0.12105711849957375,
1001
+ "grad_norm": 0.23269855976104736,
1002
+ "learning_rate": 7.498000228965913e-05,
1003
+ "loss": 0.023170632123947144,
1004
+ "step": 710
1005
+ },
1006
+ {
1007
+ "epoch": 0.12190963341858482,
1008
+ "grad_norm": 0.23201921582221985,
1009
+ "learning_rate": 7.497915689136119e-05,
1010
+ "loss": 0.020825451612472533,
1011
+ "step": 715
1012
+ },
1013
+ {
1014
+ "epoch": 0.12276214833759591,
1015
+ "grad_norm": 0.21852006018161774,
1016
+ "learning_rate": 7.497829399654607e-05,
1017
+ "loss": 0.02518810033798218,
1018
+ "step": 720
1019
+ },
1020
+ {
1021
+ "epoch": 0.12361466325660699,
1022
+ "grad_norm": 0.13872551918029785,
1023
+ "learning_rate": 7.49774136056166e-05,
1024
+ "loss": 0.019051629304885864,
1025
+ "step": 725
1026
+ },
1027
+ {
1028
+ "epoch": 0.12446717817561807,
1029
+ "grad_norm": 0.19865746796131134,
1030
+ "learning_rate": 7.497651571898379e-05,
1031
+ "loss": 0.029187721014022828,
1032
+ "step": 730
1033
+ },
1034
+ {
1035
+ "epoch": 0.12531969309462915,
1036
+ "grad_norm": 0.1114022508263588,
1037
+ "learning_rate": 7.49756003370668e-05,
1038
+ "loss": 0.019581268727779388,
1039
+ "step": 735
1040
+ },
1041
+ {
1042
+ "epoch": 0.12617220801364024,
1043
+ "grad_norm": 0.15444278717041016,
1044
+ "learning_rate": 7.497466746029293e-05,
1045
+ "loss": 0.022893126308918,
1046
+ "step": 740
1047
+ },
1048
+ {
1049
+ "epoch": 0.12702472293265132,
1050
+ "grad_norm": 0.17494694888591766,
1051
+ "learning_rate": 7.497371708909771e-05,
1052
+ "loss": 0.0201113760471344,
1053
+ "step": 745
1054
+ },
1055
+ {
1056
+ "epoch": 0.1278772378516624,
1057
+ "grad_norm": 0.22953887283802032,
1058
+ "learning_rate": 7.497274922392483e-05,
1059
+ "loss": 0.019417384266853334,
1060
+ "step": 750
1061
+ },
1062
+ {
1063
+ "epoch": 0.1287297527706735,
1064
+ "grad_norm": 0.3160583972930908,
1065
+ "learning_rate": 7.497176386522606e-05,
1066
+ "loss": 0.02309718430042267,
1067
+ "step": 755
1068
+ },
1069
+ {
1070
+ "epoch": 0.12958226768968456,
1071
+ "grad_norm": 0.17354142665863037,
1072
+ "learning_rate": 7.497076101346144e-05,
1073
+ "loss": 0.023600351810455323,
1074
+ "step": 760
1075
+ },
1076
+ {
1077
+ "epoch": 0.13043478260869565,
1078
+ "grad_norm": 0.16583387553691864,
1079
+ "learning_rate": 7.496974066909913e-05,
1080
+ "loss": 0.019191825389862062,
1081
+ "step": 765
1082
+ },
1083
+ {
1084
+ "epoch": 0.13128729752770674,
1085
+ "grad_norm": 0.15626493096351624,
1086
+ "learning_rate": 7.496870283261546e-05,
1087
+ "loss": 0.02239798903465271,
1088
+ "step": 770
1089
+ },
1090
+ {
1091
+ "epoch": 0.13213981244671782,
1092
+ "grad_norm": 0.14147315919399261,
1093
+ "learning_rate": 7.49676475044949e-05,
1094
+ "loss": 0.023734869062900545,
1095
+ "step": 775
1096
+ },
1097
+ {
1098
+ "epoch": 0.1329923273657289,
1099
+ "grad_norm": 0.15843693912029266,
1100
+ "learning_rate": 7.496657468523014e-05,
1101
+ "loss": 0.025466001033782958,
1102
+ "step": 780
1103
+ },
1104
+ {
1105
+ "epoch": 0.13384484228473997,
1106
+ "grad_norm": 0.22425507009029388,
1107
+ "learning_rate": 7.496548437532202e-05,
1108
+ "loss": 0.023076604306697845,
1109
+ "step": 785
1110
+ },
1111
+ {
1112
+ "epoch": 0.13469735720375106,
1113
+ "grad_norm": 0.18824175000190735,
1114
+ "learning_rate": 7.496437657527949e-05,
1115
+ "loss": 0.021127034723758698,
1116
+ "step": 790
1117
+ },
1118
+ {
1119
+ "epoch": 0.13554987212276215,
1120
+ "grad_norm": 0.16782736778259277,
1121
+ "learning_rate": 7.496325128561975e-05,
1122
+ "loss": 0.022259844839572905,
1123
+ "step": 795
1124
+ },
1125
+ {
1126
+ "epoch": 0.13640238704177324,
1127
+ "grad_norm": 0.1475634127855301,
1128
+ "learning_rate": 7.496210850686809e-05,
1129
+ "loss": 0.022344502806663512,
1130
+ "step": 800
1131
+ },
1132
+ {
1133
+ "epoch": 0.13725490196078433,
1134
+ "grad_norm": 0.20939050614833832,
1135
+ "learning_rate": 7.496094823955801e-05,
1136
+ "loss": 0.022960008680820466,
1137
+ "step": 805
1138
+ },
1139
+ {
1140
+ "epoch": 0.13810741687979539,
1141
+ "grad_norm": 0.16113007068634033,
1142
+ "learning_rate": 7.495977048423117e-05,
1143
+ "loss": 0.02274739146232605,
1144
+ "step": 810
1145
+ },
1146
+ {
1147
+ "epoch": 0.13895993179880647,
1148
+ "grad_norm": 0.15893374383449554,
1149
+ "learning_rate": 7.495857524143738e-05,
1150
+ "loss": 0.02106706500053406,
1151
+ "step": 815
1152
+ },
1153
+ {
1154
+ "epoch": 0.13981244671781756,
1155
+ "grad_norm": 0.15888579189777374,
1156
+ "learning_rate": 7.495736251173463e-05,
1157
+ "loss": 0.023226001858711244,
1158
+ "step": 820
1159
+ },
1160
+ {
1161
+ "epoch": 0.14066496163682865,
1162
+ "grad_norm": 0.11525560915470123,
1163
+ "learning_rate": 7.495613229568903e-05,
1164
+ "loss": 0.022408871352672576,
1165
+ "step": 825
1166
+ },
1167
+ {
1168
+ "epoch": 0.14151747655583974,
1169
+ "grad_norm": 0.14761297404766083,
1170
+ "learning_rate": 7.49548845938749e-05,
1171
+ "loss": 0.019345660507678986,
1172
+ "step": 830
1173
+ },
1174
+ {
1175
+ "epoch": 0.1423699914748508,
1176
+ "grad_norm": 0.13265904784202576,
1177
+ "learning_rate": 7.495361940687475e-05,
1178
+ "loss": 0.019794172048568724,
1179
+ "step": 835
1180
+ },
1181
+ {
1182
+ "epoch": 0.1432225063938619,
1183
+ "grad_norm": 0.11557731032371521,
1184
+ "learning_rate": 7.495233673527914e-05,
1185
+ "loss": 0.024709561467170717,
1186
+ "step": 840
1187
+ },
1188
+ {
1189
+ "epoch": 0.14407502131287298,
1190
+ "grad_norm": 0.17875051498413086,
1191
+ "learning_rate": 7.495103657968692e-05,
1192
+ "loss": 0.025614869594573975,
1193
+ "step": 845
1194
+ },
1195
+ {
1196
+ "epoch": 0.14492753623188406,
1197
+ "grad_norm": 0.1512315273284912,
1198
+ "learning_rate": 7.494971894070501e-05,
1199
+ "loss": 0.025504299998283388,
1200
+ "step": 850
1201
+ },
1202
+ {
1203
+ "epoch": 0.14578005115089515,
1204
+ "grad_norm": 0.14291605353355408,
1205
+ "learning_rate": 7.494838381894856e-05,
1206
+ "loss": 0.021080103516578675,
1207
+ "step": 855
1208
+ },
1209
+ {
1210
+ "epoch": 0.1466325660699062,
1211
+ "grad_norm": 0.15058816969394684,
1212
+ "learning_rate": 7.494703121504082e-05,
1213
+ "loss": 0.02321579456329346,
1214
+ "step": 860
1215
+ },
1216
+ {
1217
+ "epoch": 0.1474850809889173,
1218
+ "grad_norm": 0.1318487823009491,
1219
+ "learning_rate": 7.494566112961325e-05,
1220
+ "loss": 0.02411908209323883,
1221
+ "step": 865
1222
+ },
1223
+ {
1224
+ "epoch": 0.1483375959079284,
1225
+ "grad_norm": 0.12876658141613007,
1226
+ "learning_rate": 7.494427356330544e-05,
1227
+ "loss": 0.019800490140914916,
1228
+ "step": 870
1229
+ },
1230
+ {
1231
+ "epoch": 0.14919011082693948,
1232
+ "grad_norm": 0.12533710896968842,
1233
+ "learning_rate": 7.494286851676515e-05,
1234
+ "loss": 0.017035895586013795,
1235
+ "step": 875
1236
+ },
1237
+ {
1238
+ "epoch": 0.15004262574595056,
1239
+ "grad_norm": 0.2429656982421875,
1240
+ "learning_rate": 7.494144599064833e-05,
1241
+ "loss": 0.0231891930103302,
1242
+ "step": 880
1243
+ },
1244
+ {
1245
+ "epoch": 0.15089514066496162,
1246
+ "grad_norm": 0.16483844816684723,
1247
+ "learning_rate": 7.494000598561902e-05,
1248
+ "loss": 0.020446807146072388,
1249
+ "step": 885
1250
+ },
1251
+ {
1252
+ "epoch": 0.1517476555839727,
1253
+ "grad_norm": 0.18868009746074677,
1254
+ "learning_rate": 7.49385485023495e-05,
1255
+ "loss": 0.01781340092420578,
1256
+ "step": 890
1257
+ },
1258
+ {
1259
+ "epoch": 0.1526001705029838,
1260
+ "grad_norm": 0.1524050384759903,
1261
+ "learning_rate": 7.493707354152015e-05,
1262
+ "loss": 0.02079763263463974,
1263
+ "step": 895
1264
+ },
1265
+ {
1266
+ "epoch": 0.1534526854219949,
1267
+ "grad_norm": 0.14906258881092072,
1268
+ "learning_rate": 7.493558110381954e-05,
1269
+ "loss": 0.020413240790367125,
1270
+ "step": 900
1271
+ },
1272
+ {
1273
+ "epoch": 0.15430520034100598,
1274
+ "grad_norm": 0.17433762550354004,
1275
+ "learning_rate": 7.493407118994437e-05,
1276
+ "loss": 0.023528662323951722,
1277
+ "step": 905
1278
+ },
1279
+ {
1280
+ "epoch": 0.15515771526001704,
1281
+ "grad_norm": 0.15428426861763,
1282
+ "learning_rate": 7.493254380059954e-05,
1283
+ "loss": 0.0167276993393898,
1284
+ "step": 910
1285
+ },
1286
+ {
1287
+ "epoch": 0.15601023017902813,
1288
+ "grad_norm": 0.14796046912670135,
1289
+ "learning_rate": 7.49309989364981e-05,
1290
+ "loss": 0.021766343712806703,
1291
+ "step": 915
1292
+ },
1293
+ {
1294
+ "epoch": 0.1568627450980392,
1295
+ "grad_norm": 0.19506044685840607,
1296
+ "learning_rate": 7.492943659836121e-05,
1297
+ "loss": 0.019172856211662294,
1298
+ "step": 920
1299
+ },
1300
+ {
1301
+ "epoch": 0.1577152600170503,
1302
+ "grad_norm": 0.10270880907773972,
1303
+ "learning_rate": 7.492785678691822e-05,
1304
+ "loss": 0.017702698707580566,
1305
+ "step": 925
1306
+ },
1307
+ {
1308
+ "epoch": 0.1585677749360614,
1309
+ "grad_norm": 0.19830335676670074,
1310
+ "learning_rate": 7.492625950290668e-05,
1311
+ "loss": 0.02414294332265854,
1312
+ "step": 930
1313
+ },
1314
+ {
1315
+ "epoch": 0.15942028985507245,
1316
+ "grad_norm": 0.13340385258197784,
1317
+ "learning_rate": 7.492464474707222e-05,
1318
+ "loss": 0.020504102110862732,
1319
+ "step": 935
1320
+ },
1321
+ {
1322
+ "epoch": 0.16027280477408354,
1323
+ "grad_norm": 0.15535341203212738,
1324
+ "learning_rate": 7.492301252016867e-05,
1325
+ "loss": 0.024209281802177428,
1326
+ "step": 940
1327
+ },
1328
+ {
1329
+ "epoch": 0.16112531969309463,
1330
+ "grad_norm": 0.1643867790699005,
1331
+ "learning_rate": 7.492136282295801e-05,
1332
+ "loss": 0.023817232251167296,
1333
+ "step": 945
1334
+ },
1335
+ {
1336
+ "epoch": 0.16197783461210571,
1337
+ "grad_norm": 0.17358379065990448,
1338
+ "learning_rate": 7.491969565621036e-05,
1339
+ "loss": 0.022003316879272462,
1340
+ "step": 950
1341
+ },
1342
+ {
1343
+ "epoch": 0.1628303495311168,
1344
+ "grad_norm": 0.18677742779254913,
1345
+ "learning_rate": 7.491801102070403e-05,
1346
+ "loss": 0.018950483202934264,
1347
+ "step": 955
1348
+ },
1349
+ {
1350
+ "epoch": 0.1636828644501279,
1351
+ "grad_norm": 0.13851206004619598,
1352
+ "learning_rate": 7.491630891722547e-05,
1353
+ "loss": 0.017542189359664916,
1354
+ "step": 960
1355
+ },
1356
+ {
1357
+ "epoch": 0.16453537936913895,
1358
+ "grad_norm": 0.19967755675315857,
1359
+ "learning_rate": 7.491458934656925e-05,
1360
+ "loss": 0.022756266593933105,
1361
+ "step": 965
1362
+ },
1363
+ {
1364
+ "epoch": 0.16538789428815004,
1365
+ "grad_norm": 0.12368317693471909,
1366
+ "learning_rate": 7.491285230953814e-05,
1367
+ "loss": 0.02156476378440857,
1368
+ "step": 970
1369
+ },
1370
+ {
1371
+ "epoch": 0.16624040920716113,
1372
+ "grad_norm": 0.15940691530704498,
1373
+ "learning_rate": 7.491109780694303e-05,
1374
+ "loss": 0.020778095722198485,
1375
+ "step": 975
1376
+ },
1377
+ {
1378
+ "epoch": 0.16709292412617222,
1379
+ "grad_norm": 0.13057319819927216,
1380
+ "learning_rate": 7.490932583960302e-05,
1381
+ "loss": 0.017678585648536683,
1382
+ "step": 980
1383
+ },
1384
+ {
1385
+ "epoch": 0.1679454390451833,
1386
+ "grad_norm": 0.23632560670375824,
1387
+ "learning_rate": 7.490753640834527e-05,
1388
+ "loss": 0.0188615620136261,
1389
+ "step": 985
1390
+ },
1391
+ {
1392
+ "epoch": 0.16879795396419436,
1393
+ "grad_norm": 0.17829905450344086,
1394
+ "learning_rate": 7.490572951400518e-05,
1395
+ "loss": 0.017176347970962524,
1396
+ "step": 990
1397
+ },
1398
+ {
1399
+ "epoch": 0.16965046888320545,
1400
+ "grad_norm": 0.2470170259475708,
1401
+ "learning_rate": 7.490390515742626e-05,
1402
+ "loss": 0.020955404639244078,
1403
+ "step": 995
1404
+ },
1405
+ {
1406
+ "epoch": 0.17050298380221654,
1407
+ "grad_norm": 0.17038558423519135,
1408
+ "learning_rate": 7.490206333946019e-05,
1409
+ "loss": 0.0216932088136673,
1410
+ "step": 1000
1411
+ },
1412
+ {
1413
+ "epoch": 0.17135549872122763,
1414
+ "grad_norm": 0.18727493286132812,
1415
+ "learning_rate": 7.490020406096678e-05,
1416
+ "loss": 0.02001047134399414,
1417
+ "step": 1005
1418
+ },
1419
+ {
1420
+ "epoch": 0.17220801364023872,
1421
+ "grad_norm": 0.13901565968990326,
1422
+ "learning_rate": 7.489832732281401e-05,
1423
+ "loss": 0.02116202861070633,
1424
+ "step": 1010
1425
+ },
1426
+ {
1427
+ "epoch": 0.17306052855924978,
1428
+ "grad_norm": 0.15908955037593842,
1429
+ "learning_rate": 7.489643312587799e-05,
1430
+ "loss": 0.021178147196769713,
1431
+ "step": 1015
1432
+ },
1433
+ {
1434
+ "epoch": 0.17391304347826086,
1435
+ "grad_norm": 0.10865574330091476,
1436
+ "learning_rate": 7.489452147104301e-05,
1437
+ "loss": 0.018146297335624693,
1438
+ "step": 1020
1439
+ },
1440
+ {
1441
+ "epoch": 0.17476555839727195,
1442
+ "grad_norm": 0.15789146721363068,
1443
+ "learning_rate": 7.489259235920149e-05,
1444
+ "loss": 0.01937219351530075,
1445
+ "step": 1025
1446
+ },
1447
+ {
1448
+ "epoch": 0.17561807331628304,
1449
+ "grad_norm": 0.15732690691947937,
1450
+ "learning_rate": 7.489064579125399e-05,
1451
+ "loss": 0.017243795096874237,
1452
+ "step": 1030
1453
+ },
1454
+ {
1455
+ "epoch": 0.17647058823529413,
1456
+ "grad_norm": 0.16714419424533844,
1457
+ "learning_rate": 7.488868176810926e-05,
1458
+ "loss": 0.02017078697681427,
1459
+ "step": 1035
1460
+ },
1461
+ {
1462
+ "epoch": 0.1773231031543052,
1463
+ "grad_norm": 0.17852213978767395,
1464
+ "learning_rate": 7.488670029068415e-05,
1465
+ "loss": 0.021479792892932892,
1466
+ "step": 1040
1467
+ },
1468
+ {
1469
+ "epoch": 0.17817561807331628,
1470
+ "grad_norm": 0.13795003294944763,
1471
+ "learning_rate": 7.488470135990369e-05,
1472
+ "loss": 0.020610035955905916,
1473
+ "step": 1045
1474
+ },
1475
+ {
1476
+ "epoch": 0.17902813299232737,
1477
+ "grad_norm": 0.1261966973543167,
1478
+ "learning_rate": 7.488268497670103e-05,
1479
+ "loss": 0.020418691635131835,
1480
+ "step": 1050
1481
+ },
1482
+ {
1483
+ "epoch": 0.17988064791133845,
1484
+ "grad_norm": 0.14397430419921875,
1485
+ "learning_rate": 7.488065114201752e-05,
1486
+ "loss": 0.021986766159534453,
1487
+ "step": 1055
1488
+ },
1489
+ {
1490
+ "epoch": 0.18073316283034954,
1491
+ "grad_norm": 0.16623377799987793,
1492
+ "learning_rate": 7.487859985680257e-05,
1493
+ "loss": 0.015715084969997406,
1494
+ "step": 1060
1495
+ },
1496
+ {
1497
+ "epoch": 0.1815856777493606,
1498
+ "grad_norm": 0.16128598153591156,
1499
+ "learning_rate": 7.487653112201385e-05,
1500
+ "loss": 0.020126304030418395,
1501
+ "step": 1065
1502
+ },
1503
+ {
1504
+ "epoch": 0.1824381926683717,
1505
+ "grad_norm": 0.16765518486499786,
1506
+ "learning_rate": 7.487444493861705e-05,
1507
+ "loss": 0.026783743500709535,
1508
+ "step": 1070
1509
+ },
1510
+ {
1511
+ "epoch": 0.18329070758738278,
1512
+ "grad_norm": 0.1425476372241974,
1513
+ "learning_rate": 7.487234130758613e-05,
1514
+ "loss": 0.014856821298599244,
1515
+ "step": 1075
1516
+ },
1517
+ {
1518
+ "epoch": 0.18414322250639387,
1519
+ "grad_norm": 0.12260995805263519,
1520
+ "learning_rate": 7.487022022990309e-05,
1521
+ "loss": 0.020856201648712158,
1522
+ "step": 1080
1523
+ },
1524
+ {
1525
+ "epoch": 0.18499573742540495,
1526
+ "grad_norm": 0.19255946576595306,
1527
+ "learning_rate": 7.486808170655813e-05,
1528
+ "loss": 0.018779371678829194,
1529
+ "step": 1085
1530
+ },
1531
+ {
1532
+ "epoch": 0.18584825234441602,
1533
+ "grad_norm": 0.10923872888088226,
1534
+ "learning_rate": 7.48659257385496e-05,
1535
+ "loss": 0.019713962078094484,
1536
+ "step": 1090
1537
+ },
1538
+ {
1539
+ "epoch": 0.1867007672634271,
1540
+ "grad_norm": 0.1676846742630005,
1541
+ "learning_rate": 7.486375232688397e-05,
1542
+ "loss": 0.01982394903898239,
1543
+ "step": 1095
1544
+ },
1545
+ {
1546
+ "epoch": 0.1875532821824382,
1547
+ "grad_norm": 0.1513833999633789,
1548
+ "learning_rate": 7.486156147257584e-05,
1549
+ "loss": 0.020366309583187102,
1550
+ "step": 1100
1551
+ },
1552
+ {
1553
+ "epoch": 0.18840579710144928,
1554
+ "grad_norm": 0.19411510229110718,
1555
+ "learning_rate": 7.485935317664801e-05,
1556
+ "loss": 0.02244427800178528,
1557
+ "step": 1105
1558
+ },
1559
+ {
1560
+ "epoch": 0.18925831202046037,
1561
+ "grad_norm": 0.15320256352424622,
1562
+ "learning_rate": 7.485712744013137e-05,
1563
+ "loss": 0.018899278342723848,
1564
+ "step": 1110
1565
+ },
1566
+ {
1567
+ "epoch": 0.19011082693947143,
1568
+ "grad_norm": 0.1213340014219284,
1569
+ "learning_rate": 7.485488426406495e-05,
1570
+ "loss": 0.022865024209022523,
1571
+ "step": 1115
1572
+ },
1573
+ {
1574
+ "epoch": 0.19096334185848252,
1575
+ "grad_norm": 0.156148761510849,
1576
+ "learning_rate": 7.485262364949597e-05,
1577
+ "loss": 0.01619085520505905,
1578
+ "step": 1120
1579
+ },
1580
+ {
1581
+ "epoch": 0.1918158567774936,
1582
+ "grad_norm": 0.17139101028442383,
1583
+ "learning_rate": 7.485034559747974e-05,
1584
+ "loss": 0.024563166499137878,
1585
+ "step": 1125
1586
+ },
1587
+ {
1588
+ "epoch": 0.1926683716965047,
1589
+ "grad_norm": 0.1486269235610962,
1590
+ "learning_rate": 7.484805010907975e-05,
1591
+ "loss": 0.017760181427001955,
1592
+ "step": 1130
1593
+ },
1594
+ {
1595
+ "epoch": 0.19352088661551578,
1596
+ "grad_norm": 0.10183791071176529,
1597
+ "learning_rate": 7.484573718536758e-05,
1598
+ "loss": 0.018906766176223756,
1599
+ "step": 1135
1600
+ },
1601
+ {
1602
+ "epoch": 0.19437340153452684,
1603
+ "grad_norm": 0.09899614751338959,
1604
+ "learning_rate": 7.4843406827423e-05,
1605
+ "loss": 0.017186886072158812,
1606
+ "step": 1140
1607
+ },
1608
+ {
1609
+ "epoch": 0.19522591645353793,
1610
+ "grad_norm": 0.18609358370304108,
1611
+ "learning_rate": 7.484105903633388e-05,
1612
+ "loss": 0.023327428102493285,
1613
+ "step": 1145
1614
+ },
1615
+ {
1616
+ "epoch": 0.19607843137254902,
1617
+ "grad_norm": 0.1430123895406723,
1618
+ "learning_rate": 7.483869381319627e-05,
1619
+ "loss": 0.01837810128927231,
1620
+ "step": 1150
1621
+ },
1622
+ {
1623
+ "epoch": 0.1969309462915601,
1624
+ "grad_norm": 0.12148093432188034,
1625
+ "learning_rate": 7.483631115911434e-05,
1626
+ "loss": 0.020873771607875825,
1627
+ "step": 1155
1628
+ },
1629
+ {
1630
+ "epoch": 0.1977834612105712,
1631
+ "grad_norm": 0.1707390397787094,
1632
+ "learning_rate": 7.483391107520037e-05,
1633
+ "loss": 0.020981839299201964,
1634
+ "step": 1160
1635
+ },
1636
+ {
1637
+ "epoch": 0.19863597612958228,
1638
+ "grad_norm": 0.15569454431533813,
1639
+ "learning_rate": 7.483149356257479e-05,
1640
+ "loss": 0.020050540566444397,
1641
+ "step": 1165
1642
+ },
1643
+ {
1644
+ "epoch": 0.19948849104859334,
1645
+ "grad_norm": 0.14249219000339508,
1646
+ "learning_rate": 7.482905862236622e-05,
1647
+ "loss": 0.023225483298301697,
1648
+ "step": 1170
1649
+ },
1650
+ {
1651
+ "epoch": 0.20034100596760443,
1652
+ "grad_norm": 0.1274043619632721,
1653
+ "learning_rate": 7.482660625571134e-05,
1654
+ "loss": 0.019820016622543336,
1655
+ "step": 1175
1656
+ },
1657
+ {
1658
+ "epoch": 0.20119352088661552,
1659
+ "grad_norm": 0.1457318663597107,
1660
+ "learning_rate": 7.482413646375498e-05,
1661
+ "loss": 0.02005559056997299,
1662
+ "step": 1180
1663
+ },
1664
+ {
1665
+ "epoch": 0.2020460358056266,
1666
+ "grad_norm": 0.07950291782617569,
1667
+ "learning_rate": 7.482164924765016e-05,
1668
+ "loss": 0.017948240041732788,
1669
+ "step": 1185
1670
+ },
1671
+ {
1672
+ "epoch": 0.2028985507246377,
1673
+ "grad_norm": 0.1678423136472702,
1674
+ "learning_rate": 7.481914460855796e-05,
1675
+ "loss": 0.019546866416931152,
1676
+ "step": 1190
1677
+ },
1678
+ {
1679
+ "epoch": 0.20375106564364875,
1680
+ "grad_norm": 0.11161832511425018,
1681
+ "learning_rate": 7.481662254764765e-05,
1682
+ "loss": 0.016936585307121277,
1683
+ "step": 1195
1684
+ },
1685
+ {
1686
+ "epoch": 0.20460358056265984,
1687
+ "grad_norm": 0.13490277528762817,
1688
+ "learning_rate": 7.481408306609662e-05,
1689
+ "loss": 0.0162262961268425,
1690
+ "step": 1200
1691
+ },
1692
+ {
1693
+ "epoch": 0.20545609548167093,
1694
+ "grad_norm": 0.12022645026445389,
1695
+ "learning_rate": 7.481152616509037e-05,
1696
+ "loss": 0.016806957125663758,
1697
+ "step": 1205
1698
+ },
1699
+ {
1700
+ "epoch": 0.20630861040068202,
1701
+ "grad_norm": 0.12359227240085602,
1702
+ "learning_rate": 7.480895184582253e-05,
1703
+ "loss": 0.018499378859996796,
1704
+ "step": 1210
1705
+ },
1706
+ {
1707
+ "epoch": 0.2071611253196931,
1708
+ "grad_norm": 0.19136857986450195,
1709
+ "learning_rate": 7.48063601094949e-05,
1710
+ "loss": 0.020433078706264495,
1711
+ "step": 1215
1712
+ },
1713
+ {
1714
+ "epoch": 0.20801364023870417,
1715
+ "grad_norm": 0.12723380327224731,
1716
+ "learning_rate": 7.48037509573174e-05,
1717
+ "loss": 0.02018003910779953,
1718
+ "step": 1220
1719
+ },
1720
+ {
1721
+ "epoch": 0.20886615515771526,
1722
+ "grad_norm": 0.15497322380542755,
1723
+ "learning_rate": 7.480112439050804e-05,
1724
+ "loss": 0.02107332944869995,
1725
+ "step": 1225
1726
+ },
1727
+ {
1728
+ "epoch": 0.20971867007672634,
1729
+ "grad_norm": 0.11446765065193176,
1730
+ "learning_rate": 7.4798480410293e-05,
1731
+ "loss": 0.019103091955184937,
1732
+ "step": 1230
1733
+ },
1734
+ {
1735
+ "epoch": 0.21057118499573743,
1736
+ "grad_norm": 0.1497345268726349,
1737
+ "learning_rate": 7.47958190179066e-05,
1738
+ "loss": 0.017369136214256287,
1739
+ "step": 1235
1740
+ },
1741
+ {
1742
+ "epoch": 0.21142369991474852,
1743
+ "grad_norm": 0.15736299753189087,
1744
+ "learning_rate": 7.479314021459123e-05,
1745
+ "loss": 0.021430164575576782,
1746
+ "step": 1240
1747
+ },
1748
+ {
1749
+ "epoch": 0.21227621483375958,
1750
+ "grad_norm": 0.08084041625261307,
1751
+ "learning_rate": 7.479044400159746e-05,
1752
+ "loss": 0.020121607184410095,
1753
+ "step": 1245
1754
+ },
1755
+ {
1756
+ "epoch": 0.21312872975277067,
1757
+ "grad_norm": 0.17284823954105377,
1758
+ "learning_rate": 7.478773038018397e-05,
1759
+ "loss": 0.01935868263244629,
1760
+ "step": 1250
1761
+ },
1762
+ {
1763
+ "epoch": 0.21398124467178176,
1764
+ "grad_norm": 0.13502685725688934,
1765
+ "learning_rate": 7.478499935161758e-05,
1766
+ "loss": 0.01848755180835724,
1767
+ "step": 1255
1768
+ },
1769
+ {
1770
+ "epoch": 0.21483375959079284,
1771
+ "grad_norm": 0.08890935033559799,
1772
+ "learning_rate": 7.478225091717323e-05,
1773
+ "loss": 0.015054155886173249,
1774
+ "step": 1260
1775
+ },
1776
+ {
1777
+ "epoch": 0.21568627450980393,
1778
+ "grad_norm": 0.07348521798849106,
1779
+ "learning_rate": 7.477948507813396e-05,
1780
+ "loss": 0.02302621454000473,
1781
+ "step": 1265
1782
+ },
1783
+ {
1784
+ "epoch": 0.216538789428815,
1785
+ "grad_norm": 0.12460815906524658,
1786
+ "learning_rate": 7.477670183579094e-05,
1787
+ "loss": 0.015830089151859284,
1788
+ "step": 1270
1789
+ },
1790
+ {
1791
+ "epoch": 0.21739130434782608,
1792
+ "grad_norm": 0.09965575486421585,
1793
+ "learning_rate": 7.477390119144353e-05,
1794
+ "loss": 0.022217030823230743,
1795
+ "step": 1275
1796
+ },
1797
+ {
1798
+ "epoch": 0.21824381926683717,
1799
+ "grad_norm": 0.1208283007144928,
1800
+ "learning_rate": 7.477108314639913e-05,
1801
+ "loss": 0.020600679516792297,
1802
+ "step": 1280
1803
+ },
1804
+ {
1805
+ "epoch": 0.21909633418584826,
1806
+ "grad_norm": 0.1510528177022934,
1807
+ "learning_rate": 7.47682477019733e-05,
1808
+ "loss": 0.02392968088388443,
1809
+ "step": 1285
1810
+ },
1811
+ {
1812
+ "epoch": 0.21994884910485935,
1813
+ "grad_norm": 0.1437598615884781,
1814
+ "learning_rate": 7.476539485948973e-05,
1815
+ "loss": 0.017244428396224976,
1816
+ "step": 1290
1817
+ },
1818
+ {
1819
+ "epoch": 0.2208013640238704,
1820
+ "grad_norm": 0.20599612593650818,
1821
+ "learning_rate": 7.476252462028021e-05,
1822
+ "loss": 0.02182443141937256,
1823
+ "step": 1295
1824
+ },
1825
+ {
1826
+ "epoch": 0.2216538789428815,
1827
+ "grad_norm": 0.12018046528100967,
1828
+ "learning_rate": 7.475963698568468e-05,
1829
+ "loss": 0.017898209393024445,
1830
+ "step": 1300
1831
+ },
1832
+ {
1833
+ "epoch": 0.22250639386189258,
1834
+ "grad_norm": 0.14739947021007538,
1835
+ "learning_rate": 7.475673195705116e-05,
1836
+ "loss": 0.01632039248943329,
1837
+ "step": 1305
1838
+ },
1839
+ {
1840
+ "epoch": 0.22335890878090367,
1841
+ "grad_norm": 0.1594342738389969,
1842
+ "learning_rate": 7.475380953573583e-05,
1843
+ "loss": 0.019042639434337615,
1844
+ "step": 1310
1845
+ },
1846
+ {
1847
+ "epoch": 0.22421142369991476,
1848
+ "grad_norm": 0.15422497689723969,
1849
+ "learning_rate": 7.475086972310297e-05,
1850
+ "loss": 0.01909550428390503,
1851
+ "step": 1315
1852
+ },
1853
+ {
1854
+ "epoch": 0.22506393861892582,
1855
+ "grad_norm": 0.10997913032770157,
1856
+ "learning_rate": 7.474791252052498e-05,
1857
+ "loss": 0.01707080900669098,
1858
+ "step": 1320
1859
+ },
1860
+ {
1861
+ "epoch": 0.2259164535379369,
1862
+ "grad_norm": 0.14125043153762817,
1863
+ "learning_rate": 7.47449379293824e-05,
1864
+ "loss": 0.025346797704696656,
1865
+ "step": 1325
1866
+ },
1867
+ {
1868
+ "epoch": 0.226768968456948,
1869
+ "grad_norm": 0.15269587934017181,
1870
+ "learning_rate": 7.474194595106384e-05,
1871
+ "loss": 0.017649538815021515,
1872
+ "step": 1330
1873
+ },
1874
+ {
1875
+ "epoch": 0.22762148337595908,
1876
+ "grad_norm": 0.11451391130685806,
1877
+ "learning_rate": 7.473893658696605e-05,
1878
+ "loss": 0.016222651302814483,
1879
+ "step": 1335
1880
+ },
1881
+ {
1882
+ "epoch": 0.22847399829497017,
1883
+ "grad_norm": 0.15066254138946533,
1884
+ "learning_rate": 7.473590983849396e-05,
1885
+ "loss": 0.019333544373512267,
1886
+ "step": 1340
1887
+ },
1888
+ {
1889
+ "epoch": 0.22932651321398123,
1890
+ "grad_norm": 0.16034111380577087,
1891
+ "learning_rate": 7.473286570706047e-05,
1892
+ "loss": 0.020681440830230713,
1893
+ "step": 1345
1894
+ },
1895
+ {
1896
+ "epoch": 0.23017902813299232,
1897
+ "grad_norm": 0.13590551912784576,
1898
+ "learning_rate": 7.472980419408675e-05,
1899
+ "loss": 0.01912907660007477,
1900
+ "step": 1350
1901
+ },
1902
+ {
1903
+ "epoch": 0.2310315430520034,
1904
+ "grad_norm": 0.1059318482875824,
1905
+ "learning_rate": 7.472672530100199e-05,
1906
+ "loss": 0.013612470030784607,
1907
+ "step": 1355
1908
+ },
1909
+ {
1910
+ "epoch": 0.2318840579710145,
1911
+ "grad_norm": 0.14834082126617432,
1912
+ "learning_rate": 7.472362902924352e-05,
1913
+ "loss": 0.01864627152681351,
1914
+ "step": 1360
1915
+ },
1916
+ {
1917
+ "epoch": 0.23273657289002558,
1918
+ "grad_norm": 0.11334261298179626,
1919
+ "learning_rate": 7.472051538025678e-05,
1920
+ "loss": 0.018771368265151977,
1921
+ "step": 1365
1922
+ },
1923
+ {
1924
+ "epoch": 0.23358908780903667,
1925
+ "grad_norm": 0.13945090770721436,
1926
+ "learning_rate": 7.471738435549533e-05,
1927
+ "loss": 0.01627613455057144,
1928
+ "step": 1370
1929
+ },
1930
+ {
1931
+ "epoch": 0.23444160272804773,
1932
+ "grad_norm": 0.17654946446418762,
1933
+ "learning_rate": 7.471423595642084e-05,
1934
+ "loss": 0.02347823977470398,
1935
+ "step": 1375
1936
+ },
1937
+ {
1938
+ "epoch": 0.23529411764705882,
1939
+ "grad_norm": 0.12936590611934662,
1940
+ "learning_rate": 7.471107018450309e-05,
1941
+ "loss": 0.02045731246471405,
1942
+ "step": 1380
1943
+ },
1944
+ {
1945
+ "epoch": 0.2361466325660699,
1946
+ "grad_norm": 0.11726986616849899,
1947
+ "learning_rate": 7.470788704121995e-05,
1948
+ "loss": 0.020318010449409486,
1949
+ "step": 1385
1950
+ },
1951
+ {
1952
+ "epoch": 0.236999147485081,
1953
+ "grad_norm": 0.08884494006633759,
1954
+ "learning_rate": 7.470468652805743e-05,
1955
+ "loss": 0.016616788506507874,
1956
+ "step": 1390
1957
+ },
1958
+ {
1959
+ "epoch": 0.23785166240409208,
1960
+ "grad_norm": 0.1384650319814682,
1961
+ "learning_rate": 7.470146864650965e-05,
1962
+ "loss": 0.017017421126365662,
1963
+ "step": 1395
1964
+ },
1965
+ {
1966
+ "epoch": 0.23870417732310314,
1967
+ "grad_norm": 0.17975082993507385,
1968
+ "learning_rate": 7.46982333980788e-05,
1969
+ "loss": 0.021484333276748657,
1970
+ "step": 1400
1971
+ },
1972
+ {
1973
+ "epoch": 0.23955669224211423,
1974
+ "grad_norm": 0.12423302978277206,
1975
+ "learning_rate": 7.469498078427519e-05,
1976
+ "loss": 0.017081032693386077,
1977
+ "step": 1405
1978
+ },
1979
+ {
1980
+ "epoch": 0.24040920716112532,
1981
+ "grad_norm": 0.1501087099313736,
1982
+ "learning_rate": 7.46917108066173e-05,
1983
+ "loss": 0.015354931354522705,
1984
+ "step": 1410
1985
+ },
1986
+ {
1987
+ "epoch": 0.2412617220801364,
1988
+ "grad_norm": 0.09775341302156448,
1989
+ "learning_rate": 7.468842346663162e-05,
1990
+ "loss": 0.015043070912361145,
1991
+ "step": 1415
1992
+ },
1993
+ {
1994
+ "epoch": 0.2421142369991475,
1995
+ "grad_norm": 0.22517770528793335,
1996
+ "learning_rate": 7.468511876585279e-05,
1997
+ "loss": 0.01923089921474457,
1998
+ "step": 1420
1999
+ },
2000
+ {
2001
+ "epoch": 0.24296675191815856,
2002
+ "grad_norm": 0.16673070192337036,
2003
+ "learning_rate": 7.468179670582359e-05,
2004
+ "loss": 0.022077682614326476,
2005
+ "step": 1425
2006
+ },
2007
+ {
2008
+ "epoch": 0.24381926683716965,
2009
+ "grad_norm": 0.15411542356014252,
2010
+ "learning_rate": 7.467845728809483e-05,
2011
+ "loss": 0.01438840925693512,
2012
+ "step": 1430
2013
+ },
2014
+ {
2015
+ "epoch": 0.24467178175618073,
2016
+ "grad_norm": 0.14152199029922485,
2017
+ "learning_rate": 7.46751005142255e-05,
2018
+ "loss": 0.023038744926452637,
2019
+ "step": 1435
2020
+ },
2021
+ {
2022
+ "epoch": 0.24552429667519182,
2023
+ "grad_norm": 0.22134003043174744,
2024
+ "learning_rate": 7.46717263857826e-05,
2025
+ "loss": 0.02072407156229019,
2026
+ "step": 1440
2027
+ },
2028
+ {
2029
+ "epoch": 0.2463768115942029,
2030
+ "grad_norm": 0.16586056351661682,
2031
+ "learning_rate": 7.466833490434132e-05,
2032
+ "loss": 0.022452065348625184,
2033
+ "step": 1445
2034
+ },
2035
+ {
2036
+ "epoch": 0.24722932651321397,
2037
+ "grad_norm": 0.2230711281299591,
2038
+ "learning_rate": 7.466492607148492e-05,
2039
+ "loss": 0.022158581018447875,
2040
+ "step": 1450
2041
+ },
2042
+ {
2043
+ "epoch": 0.24808184143222506,
2044
+ "grad_norm": 0.1271371692419052,
2045
+ "learning_rate": 7.466149988880474e-05,
2046
+ "loss": 0.016606763005256653,
2047
+ "step": 1455
2048
+ },
2049
+ {
2050
+ "epoch": 0.24893435635123615,
2051
+ "grad_norm": 0.16286347806453705,
2052
+ "learning_rate": 7.465805635790024e-05,
2053
+ "loss": 0.021220946311950685,
2054
+ "step": 1460
2055
+ },
2056
+ {
2057
+ "epoch": 0.24978687127024723,
2058
+ "grad_norm": 0.1534752994775772,
2059
+ "learning_rate": 7.4654595480379e-05,
2060
+ "loss": 0.019277589023113252,
2061
+ "step": 1465
2062
+ },
2063
+ {
2064
+ "epoch": 0.24995737425404946,
2065
+ "eval_loss": 0.048333022743463516,
2066
+ "eval_runtime": 3.8326,
2067
+ "eval_samples_per_second": 65.751,
2068
+ "eval_steps_per_second": 1.044,
2069
+ "step": 1466
2070
+ },
2071
+ {
2072
+ "eval_cer_subset": 0.023708870569999294,
2073
+ "eval_cer_subset_edit_distance": 1346,
2074
+ "eval_cer_subset_groups": 250,
2075
+ "eval_cer_subset_items": 250,
2076
+ "eval_cer_subset_ref_chars": 56772,
2077
+ "step": 1466
2078
+ }
2079
+ ],
2080
+ "logging_steps": 5,
2081
+ "max_steps": 23460,
2082
+ "num_input_tokens_seen": 0,
2083
+ "num_train_epochs": 4,
2084
+ "save_steps": 2932,
2085
+ "stateful_callbacks": {
2086
+ "TrainerControl": {
2087
+ "args": {
2088
+ "should_epoch_stop": false,
2089
+ "should_evaluate": false,
2090
+ "should_log": false,
2091
+ "should_save": true,
2092
+ "should_training_stop": false
2093
+ },
2094
+ "attributes": {}
2095
+ }
2096
+ },
2097
+ "total_flos": 6.463872307682918e+16,
2098
+ "train_batch_size": 32,
2099
+ "trial_name": null,
2100
+ "trial_params": null
2101
+ }
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7511870667487ff1f832bd96611ce3c2683811bf8946eb2af6c034f3792899b8
3
+ size 5841
meta-llama__llama-3.2-1b/sft/run_manifest.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema_version": 1,
3
+ "run_id": "297b34c8-0ca0-4b1d-8d20-7702c51d147c",
4
+ "run_type": "sft",
5
+ "profile_name": "llama3_2_1b_base",
6
+ "model_name": "meta-llama/Llama-3.2-1B",
7
+ "status": "running",
8
+ "best_metric_name": "eval_loss",
9
+ "best_metric_value": 0.048333022743463516,
10
+ "best_step": 1466,
11
+ "best_checkpoint_step": 1466,
12
+ "latest_checkpoint_step": 1466,
13
+ "checkpoints": [
14
+ {
15
+ "step": 1466,
16
+ "epoch": 0.24995737425404946,
17
+ "repo_path": "meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466",
18
+ "timestamp": "2026-04-08T02:56:19.031847+00:00"
19
+ }
20
+ ],
21
+ "epoch_artifacts": [],
22
+ "resume_history": [],
23
+ "created_at": "2026-04-08T02:28:34.984361+00:00",
24
+ "updated_at": "2026-04-08T02:56:19.031861+00:00"
25
+ }