themachinefan commited on
Commit
d38e443
·
verified ·
1 Parent(s): 2d0f75b

Training in progress, step 421, checkpoint

Browse files
.gitattributes CHANGED
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
  tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
  tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
+ checkpoint-421/tokenizer.json filter=lfs diff=lfs merge=lfs -text
checkpoint-421/README.md ADDED
@@ -0,0 +1,210 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/gemma-2-2b-it
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:unsloth/gemma-2-2b-it
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
checkpoint-421/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": "Gemma2ForCausalLM",
7
+ "parent_library": "transformers.models.gemma2.modeling_gemma2",
8
+ "unsloth_fixed": true
9
+ },
10
+ "base_model_name_or_path": "unsloth/gemma-2-2b-it",
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": 32,
33
+ "rank_pattern": {},
34
+ "revision": null,
35
+ "target_modules": [
36
+ "gate_proj",
37
+ "q_proj",
38
+ "k_proj",
39
+ "v_proj",
40
+ "up_proj",
41
+ "o_proj",
42
+ "down_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
+ }
checkpoint-421/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:667ca36f11f6905f26eb2e06a700122e7094cda49bd331461aac5fdd215900e7
3
+ size 166182480
checkpoint-421/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
2
+ ' + message['content'] | trim + '<end_of_turn>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
4
+ '}}{% endif %}
checkpoint-421/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:51f35339414b3fa3ddea5e2a9f897a4dae6a809a7aae19fb6012cf89c79689a5
3
+ size 84793429
checkpoint-421/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:718a0f3db00824213036a2c0441849791319b7d9cf189065873bb26a7020738e
3
+ size 14645
checkpoint-421/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1abef018df362c9b527b1d1eec21c31e657460110520add59a2227f8738bc47a
3
+ size 1465
checkpoint-421/special_tokens_map.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<start_of_turn>",
4
+ "<end_of_turn>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<bos>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": {
21
+ "content": "<pad>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false
26
+ },
27
+ "unk_token": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
checkpoint-421/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f7eee611703c5ce5d1eee32d9cdcfe465647b8aff0c1dfb3bed7ad7dbb05060
3
+ size 34362873
checkpoint-421/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
3
+ size 4241003
checkpoint-421/tokenizer_config.json ADDED
@@ -0,0 +1,2014 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<pad>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<bos>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "3": {
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "4": {
38
+ "content": "<mask>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": false
44
+ },
45
+ "5": {
46
+ "content": "<2mass>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": false
52
+ },
53
+ "6": {
54
+ "content": "[@BOS@]",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": false
60
+ },
61
+ "7": {
62
+ "content": "<unused0>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": false
68
+ },
69
+ "8": {
70
+ "content": "<unused1>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": false
76
+ },
77
+ "9": {
78
+ "content": "<unused2>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": false
84
+ },
85
+ "10": {
86
+ "content": "<unused3>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": false
92
+ },
93
+ "11": {
94
+ "content": "<unused4>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": false
100
+ },
101
+ "12": {
102
+ "content": "<unused5>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": false
108
+ },
109
+ "13": {
110
+ "content": "<unused6>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": false
116
+ },
117
+ "14": {
118
+ "content": "<unused7>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "15": {
126
+ "content": "<unused8>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "16": {
134
+ "content": "<unused9>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "17": {
142
+ "content": "<unused10>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "18": {
150
+ "content": "<unused11>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "19": {
158
+ "content": "<unused12>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "20": {
166
+ "content": "<unused13>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "21": {
174
+ "content": "<unused14>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "22": {
182
+ "content": "<unused15>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "23": {
190
+ "content": "<unused16>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "24": {
198
+ "content": "<unused17>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "25": {
206
+ "content": "<unused18>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ },
213
+ "26": {
214
+ "content": "<unused19>",
215
+ "lstrip": false,
216
+ "normalized": false,
217
+ "rstrip": false,
218
+ "single_word": false,
219
+ "special": false
220
+ },
221
+ "27": {
222
+ "content": "<unused20>",
223
+ "lstrip": false,
224
+ "normalized": false,
225
+ "rstrip": false,
226
+ "single_word": false,
227
+ "special": false
228
+ },
229
+ "28": {
230
+ "content": "<unused21>",
231
+ "lstrip": false,
232
+ "normalized": false,
233
+ "rstrip": false,
234
+ "single_word": false,
235
+ "special": false
236
+ },
237
+ "29": {
238
+ "content": "<unused22>",
239
+ "lstrip": false,
240
+ "normalized": false,
241
+ "rstrip": false,
242
+ "single_word": false,
243
+ "special": false
244
+ },
245
+ "30": {
246
+ "content": "<unused23>",
247
+ "lstrip": false,
248
+ "normalized": false,
249
+ "rstrip": false,
250
+ "single_word": false,
251
+ "special": false
252
+ },
253
+ "31": {
254
+ "content": "<unused24>",
255
+ "lstrip": false,
256
+ "normalized": false,
257
+ "rstrip": false,
258
+ "single_word": false,
259
+ "special": false
260
+ },
261
+ "32": {
262
+ "content": "<unused25>",
263
+ "lstrip": false,
264
+ "normalized": false,
265
+ "rstrip": false,
266
+ "single_word": false,
267
+ "special": false
268
+ },
269
+ "33": {
270
+ "content": "<unused26>",
271
+ "lstrip": false,
272
+ "normalized": false,
273
+ "rstrip": false,
274
+ "single_word": false,
275
+ "special": false
276
+ },
277
+ "34": {
278
+ "content": "<unused27>",
279
+ "lstrip": false,
280
+ "normalized": false,
281
+ "rstrip": false,
282
+ "single_word": false,
283
+ "special": false
284
+ },
285
+ "35": {
286
+ "content": "<unused28>",
287
+ "lstrip": false,
288
+ "normalized": false,
289
+ "rstrip": false,
290
+ "single_word": false,
291
+ "special": false
292
+ },
293
+ "36": {
294
+ "content": "<unused29>",
295
+ "lstrip": false,
296
+ "normalized": false,
297
+ "rstrip": false,
298
+ "single_word": false,
299
+ "special": false
300
+ },
301
+ "37": {
302
+ "content": "<unused30>",
303
+ "lstrip": false,
304
+ "normalized": false,
305
+ "rstrip": false,
306
+ "single_word": false,
307
+ "special": false
308
+ },
309
+ "38": {
310
+ "content": "<unused31>",
311
+ "lstrip": false,
312
+ "normalized": false,
313
+ "rstrip": false,
314
+ "single_word": false,
315
+ "special": false
316
+ },
317
+ "39": {
318
+ "content": "<unused32>",
319
+ "lstrip": false,
320
+ "normalized": false,
321
+ "rstrip": false,
322
+ "single_word": false,
323
+ "special": false
324
+ },
325
+ "40": {
326
+ "content": "<unused33>",
327
+ "lstrip": false,
328
+ "normalized": false,
329
+ "rstrip": false,
330
+ "single_word": false,
331
+ "special": false
332
+ },
333
+ "41": {
334
+ "content": "<unused34>",
335
+ "lstrip": false,
336
+ "normalized": false,
337
+ "rstrip": false,
338
+ "single_word": false,
339
+ "special": false
340
+ },
341
+ "42": {
342
+ "content": "<unused35>",
343
+ "lstrip": false,
344
+ "normalized": false,
345
+ "rstrip": false,
346
+ "single_word": false,
347
+ "special": false
348
+ },
349
+ "43": {
350
+ "content": "<unused36>",
351
+ "lstrip": false,
352
+ "normalized": false,
353
+ "rstrip": false,
354
+ "single_word": false,
355
+ "special": false
356
+ },
357
+ "44": {
358
+ "content": "<unused37>",
359
+ "lstrip": false,
360
+ "normalized": false,
361
+ "rstrip": false,
362
+ "single_word": false,
363
+ "special": false
364
+ },
365
+ "45": {
366
+ "content": "<unused38>",
367
+ "lstrip": false,
368
+ "normalized": false,
369
+ "rstrip": false,
370
+ "single_word": false,
371
+ "special": false
372
+ },
373
+ "46": {
374
+ "content": "<unused39>",
375
+ "lstrip": false,
376
+ "normalized": false,
377
+ "rstrip": false,
378
+ "single_word": false,
379
+ "special": false
380
+ },
381
+ "47": {
382
+ "content": "<unused40>",
383
+ "lstrip": false,
384
+ "normalized": false,
385
+ "rstrip": false,
386
+ "single_word": false,
387
+ "special": false
388
+ },
389
+ "48": {
390
+ "content": "<unused41>",
391
+ "lstrip": false,
392
+ "normalized": false,
393
+ "rstrip": false,
394
+ "single_word": false,
395
+ "special": false
396
+ },
397
+ "49": {
398
+ "content": "<unused42>",
399
+ "lstrip": false,
400
+ "normalized": false,
401
+ "rstrip": false,
402
+ "single_word": false,
403
+ "special": false
404
+ },
405
+ "50": {
406
+ "content": "<unused43>",
407
+ "lstrip": false,
408
+ "normalized": false,
409
+ "rstrip": false,
410
+ "single_word": false,
411
+ "special": false
412
+ },
413
+ "51": {
414
+ "content": "<unused44>",
415
+ "lstrip": false,
416
+ "normalized": false,
417
+ "rstrip": false,
418
+ "single_word": false,
419
+ "special": false
420
+ },
421
+ "52": {
422
+ "content": "<unused45>",
423
+ "lstrip": false,
424
+ "normalized": false,
425
+ "rstrip": false,
426
+ "single_word": false,
427
+ "special": false
428
+ },
429
+ "53": {
430
+ "content": "<unused46>",
431
+ "lstrip": false,
432
+ "normalized": false,
433
+ "rstrip": false,
434
+ "single_word": false,
435
+ "special": false
436
+ },
437
+ "54": {
438
+ "content": "<unused47>",
439
+ "lstrip": false,
440
+ "normalized": false,
441
+ "rstrip": false,
442
+ "single_word": false,
443
+ "special": false
444
+ },
445
+ "55": {
446
+ "content": "<unused48>",
447
+ "lstrip": false,
448
+ "normalized": false,
449
+ "rstrip": false,
450
+ "single_word": false,
451
+ "special": false
452
+ },
453
+ "56": {
454
+ "content": "<unused49>",
455
+ "lstrip": false,
456
+ "normalized": false,
457
+ "rstrip": false,
458
+ "single_word": false,
459
+ "special": false
460
+ },
461
+ "57": {
462
+ "content": "<unused50>",
463
+ "lstrip": false,
464
+ "normalized": false,
465
+ "rstrip": false,
466
+ "single_word": false,
467
+ "special": false
468
+ },
469
+ "58": {
470
+ "content": "<unused51>",
471
+ "lstrip": false,
472
+ "normalized": false,
473
+ "rstrip": false,
474
+ "single_word": false,
475
+ "special": false
476
+ },
477
+ "59": {
478
+ "content": "<unused52>",
479
+ "lstrip": false,
480
+ "normalized": false,
481
+ "rstrip": false,
482
+ "single_word": false,
483
+ "special": false
484
+ },
485
+ "60": {
486
+ "content": "<unused53>",
487
+ "lstrip": false,
488
+ "normalized": false,
489
+ "rstrip": false,
490
+ "single_word": false,
491
+ "special": false
492
+ },
493
+ "61": {
494
+ "content": "<unused54>",
495
+ "lstrip": false,
496
+ "normalized": false,
497
+ "rstrip": false,
498
+ "single_word": false,
499
+ "special": false
500
+ },
501
+ "62": {
502
+ "content": "<unused55>",
503
+ "lstrip": false,
504
+ "normalized": false,
505
+ "rstrip": false,
506
+ "single_word": false,
507
+ "special": false
508
+ },
509
+ "63": {
510
+ "content": "<unused56>",
511
+ "lstrip": false,
512
+ "normalized": false,
513
+ "rstrip": false,
514
+ "single_word": false,
515
+ "special": false
516
+ },
517
+ "64": {
518
+ "content": "<unused57>",
519
+ "lstrip": false,
520
+ "normalized": false,
521
+ "rstrip": false,
522
+ "single_word": false,
523
+ "special": false
524
+ },
525
+ "65": {
526
+ "content": "<unused58>",
527
+ "lstrip": false,
528
+ "normalized": false,
529
+ "rstrip": false,
530
+ "single_word": false,
531
+ "special": false
532
+ },
533
+ "66": {
534
+ "content": "<unused59>",
535
+ "lstrip": false,
536
+ "normalized": false,
537
+ "rstrip": false,
538
+ "single_word": false,
539
+ "special": false
540
+ },
541
+ "67": {
542
+ "content": "<unused60>",
543
+ "lstrip": false,
544
+ "normalized": false,
545
+ "rstrip": false,
546
+ "single_word": false,
547
+ "special": false
548
+ },
549
+ "68": {
550
+ "content": "<unused61>",
551
+ "lstrip": false,
552
+ "normalized": false,
553
+ "rstrip": false,
554
+ "single_word": false,
555
+ "special": false
556
+ },
557
+ "69": {
558
+ "content": "<unused62>",
559
+ "lstrip": false,
560
+ "normalized": false,
561
+ "rstrip": false,
562
+ "single_word": false,
563
+ "special": false
564
+ },
565
+ "70": {
566
+ "content": "<unused63>",
567
+ "lstrip": false,
568
+ "normalized": false,
569
+ "rstrip": false,
570
+ "single_word": false,
571
+ "special": false
572
+ },
573
+ "71": {
574
+ "content": "<unused64>",
575
+ "lstrip": false,
576
+ "normalized": false,
577
+ "rstrip": false,
578
+ "single_word": false,
579
+ "special": false
580
+ },
581
+ "72": {
582
+ "content": "<unused65>",
583
+ "lstrip": false,
584
+ "normalized": false,
585
+ "rstrip": false,
586
+ "single_word": false,
587
+ "special": false
588
+ },
589
+ "73": {
590
+ "content": "<unused66>",
591
+ "lstrip": false,
592
+ "normalized": false,
593
+ "rstrip": false,
594
+ "single_word": false,
595
+ "special": false
596
+ },
597
+ "74": {
598
+ "content": "<unused67>",
599
+ "lstrip": false,
600
+ "normalized": false,
601
+ "rstrip": false,
602
+ "single_word": false,
603
+ "special": false
604
+ },
605
+ "75": {
606
+ "content": "<unused68>",
607
+ "lstrip": false,
608
+ "normalized": false,
609
+ "rstrip": false,
610
+ "single_word": false,
611
+ "special": false
612
+ },
613
+ "76": {
614
+ "content": "<unused69>",
615
+ "lstrip": false,
616
+ "normalized": false,
617
+ "rstrip": false,
618
+ "single_word": false,
619
+ "special": false
620
+ },
621
+ "77": {
622
+ "content": "<unused70>",
623
+ "lstrip": false,
624
+ "normalized": false,
625
+ "rstrip": false,
626
+ "single_word": false,
627
+ "special": false
628
+ },
629
+ "78": {
630
+ "content": "<unused71>",
631
+ "lstrip": false,
632
+ "normalized": false,
633
+ "rstrip": false,
634
+ "single_word": false,
635
+ "special": false
636
+ },
637
+ "79": {
638
+ "content": "<unused72>",
639
+ "lstrip": false,
640
+ "normalized": false,
641
+ "rstrip": false,
642
+ "single_word": false,
643
+ "special": false
644
+ },
645
+ "80": {
646
+ "content": "<unused73>",
647
+ "lstrip": false,
648
+ "normalized": false,
649
+ "rstrip": false,
650
+ "single_word": false,
651
+ "special": false
652
+ },
653
+ "81": {
654
+ "content": "<unused74>",
655
+ "lstrip": false,
656
+ "normalized": false,
657
+ "rstrip": false,
658
+ "single_word": false,
659
+ "special": false
660
+ },
661
+ "82": {
662
+ "content": "<unused75>",
663
+ "lstrip": false,
664
+ "normalized": false,
665
+ "rstrip": false,
666
+ "single_word": false,
667
+ "special": false
668
+ },
669
+ "83": {
670
+ "content": "<unused76>",
671
+ "lstrip": false,
672
+ "normalized": false,
673
+ "rstrip": false,
674
+ "single_word": false,
675
+ "special": false
676
+ },
677
+ "84": {
678
+ "content": "<unused77>",
679
+ "lstrip": false,
680
+ "normalized": false,
681
+ "rstrip": false,
682
+ "single_word": false,
683
+ "special": false
684
+ },
685
+ "85": {
686
+ "content": "<unused78>",
687
+ "lstrip": false,
688
+ "normalized": false,
689
+ "rstrip": false,
690
+ "single_word": false,
691
+ "special": false
692
+ },
693
+ "86": {
694
+ "content": "<unused79>",
695
+ "lstrip": false,
696
+ "normalized": false,
697
+ "rstrip": false,
698
+ "single_word": false,
699
+ "special": false
700
+ },
701
+ "87": {
702
+ "content": "<unused80>",
703
+ "lstrip": false,
704
+ "normalized": false,
705
+ "rstrip": false,
706
+ "single_word": false,
707
+ "special": false
708
+ },
709
+ "88": {
710
+ "content": "<unused81>",
711
+ "lstrip": false,
712
+ "normalized": false,
713
+ "rstrip": false,
714
+ "single_word": false,
715
+ "special": false
716
+ },
717
+ "89": {
718
+ "content": "<unused82>",
719
+ "lstrip": false,
720
+ "normalized": false,
721
+ "rstrip": false,
722
+ "single_word": false,
723
+ "special": false
724
+ },
725
+ "90": {
726
+ "content": "<unused83>",
727
+ "lstrip": false,
728
+ "normalized": false,
729
+ "rstrip": false,
730
+ "single_word": false,
731
+ "special": false
732
+ },
733
+ "91": {
734
+ "content": "<unused84>",
735
+ "lstrip": false,
736
+ "normalized": false,
737
+ "rstrip": false,
738
+ "single_word": false,
739
+ "special": false
740
+ },
741
+ "92": {
742
+ "content": "<unused85>",
743
+ "lstrip": false,
744
+ "normalized": false,
745
+ "rstrip": false,
746
+ "single_word": false,
747
+ "special": false
748
+ },
749
+ "93": {
750
+ "content": "<unused86>",
751
+ "lstrip": false,
752
+ "normalized": false,
753
+ "rstrip": false,
754
+ "single_word": false,
755
+ "special": false
756
+ },
757
+ "94": {
758
+ "content": "<unused87>",
759
+ "lstrip": false,
760
+ "normalized": false,
761
+ "rstrip": false,
762
+ "single_word": false,
763
+ "special": false
764
+ },
765
+ "95": {
766
+ "content": "<unused88>",
767
+ "lstrip": false,
768
+ "normalized": false,
769
+ "rstrip": false,
770
+ "single_word": false,
771
+ "special": false
772
+ },
773
+ "96": {
774
+ "content": "<unused89>",
775
+ "lstrip": false,
776
+ "normalized": false,
777
+ "rstrip": false,
778
+ "single_word": false,
779
+ "special": false
780
+ },
781
+ "97": {
782
+ "content": "<unused90>",
783
+ "lstrip": false,
784
+ "normalized": false,
785
+ "rstrip": false,
786
+ "single_word": false,
787
+ "special": false
788
+ },
789
+ "98": {
790
+ "content": "<unused91>",
791
+ "lstrip": false,
792
+ "normalized": false,
793
+ "rstrip": false,
794
+ "single_word": false,
795
+ "special": false
796
+ },
797
+ "99": {
798
+ "content": "<unused92>",
799
+ "lstrip": false,
800
+ "normalized": false,
801
+ "rstrip": false,
802
+ "single_word": false,
803
+ "special": false
804
+ },
805
+ "100": {
806
+ "content": "<unused93>",
807
+ "lstrip": false,
808
+ "normalized": false,
809
+ "rstrip": false,
810
+ "single_word": false,
811
+ "special": false
812
+ },
813
+ "101": {
814
+ "content": "<unused94>",
815
+ "lstrip": false,
816
+ "normalized": false,
817
+ "rstrip": false,
818
+ "single_word": false,
819
+ "special": false
820
+ },
821
+ "102": {
822
+ "content": "<unused95>",
823
+ "lstrip": false,
824
+ "normalized": false,
825
+ "rstrip": false,
826
+ "single_word": false,
827
+ "special": false
828
+ },
829
+ "103": {
830
+ "content": "<unused96>",
831
+ "lstrip": false,
832
+ "normalized": false,
833
+ "rstrip": false,
834
+ "single_word": false,
835
+ "special": false
836
+ },
837
+ "104": {
838
+ "content": "<unused97>",
839
+ "lstrip": false,
840
+ "normalized": false,
841
+ "rstrip": false,
842
+ "single_word": false,
843
+ "special": false
844
+ },
845
+ "105": {
846
+ "content": "<unused98>",
847
+ "lstrip": false,
848
+ "normalized": false,
849
+ "rstrip": false,
850
+ "single_word": false,
851
+ "special": false
852
+ },
853
+ "106": {
854
+ "content": "<start_of_turn>",
855
+ "lstrip": false,
856
+ "normalized": false,
857
+ "rstrip": false,
858
+ "single_word": false,
859
+ "special": true
860
+ },
861
+ "107": {
862
+ "content": "<end_of_turn>",
863
+ "lstrip": false,
864
+ "normalized": false,
865
+ "rstrip": false,
866
+ "single_word": false,
867
+ "special": true
868
+ },
869
+ "108": {
870
+ "content": "\n",
871
+ "lstrip": false,
872
+ "normalized": false,
873
+ "rstrip": false,
874
+ "single_word": false,
875
+ "special": false
876
+ },
877
+ "109": {
878
+ "content": "\n\n",
879
+ "lstrip": false,
880
+ "normalized": false,
881
+ "rstrip": false,
882
+ "single_word": false,
883
+ "special": false
884
+ },
885
+ "110": {
886
+ "content": "\n\n\n",
887
+ "lstrip": false,
888
+ "normalized": false,
889
+ "rstrip": false,
890
+ "single_word": false,
891
+ "special": false
892
+ },
893
+ "111": {
894
+ "content": "\n\n\n\n",
895
+ "lstrip": false,
896
+ "normalized": false,
897
+ "rstrip": false,
898
+ "single_word": false,
899
+ "special": false
900
+ },
901
+ "112": {
902
+ "content": "\n\n\n\n\n",
903
+ "lstrip": false,
904
+ "normalized": false,
905
+ "rstrip": false,
906
+ "single_word": false,
907
+ "special": false
908
+ },
909
+ "113": {
910
+ "content": "\n\n\n\n\n\n",
911
+ "lstrip": false,
912
+ "normalized": false,
913
+ "rstrip": false,
914
+ "single_word": false,
915
+ "special": false
916
+ },
917
+ "114": {
918
+ "content": "\n\n\n\n\n\n\n",
919
+ "lstrip": false,
920
+ "normalized": false,
921
+ "rstrip": false,
922
+ "single_word": false,
923
+ "special": false
924
+ },
925
+ "115": {
926
+ "content": "\n\n\n\n\n\n\n\n",
927
+ "lstrip": false,
928
+ "normalized": false,
929
+ "rstrip": false,
930
+ "single_word": false,
931
+ "special": false
932
+ },
933
+ "116": {
934
+ "content": "\n\n\n\n\n\n\n\n\n",
935
+ "lstrip": false,
936
+ "normalized": false,
937
+ "rstrip": false,
938
+ "single_word": false,
939
+ "special": false
940
+ },
941
+ "117": {
942
+ "content": "\n\n\n\n\n\n\n\n\n\n",
943
+ "lstrip": false,
944
+ "normalized": false,
945
+ "rstrip": false,
946
+ "single_word": false,
947
+ "special": false
948
+ },
949
+ "118": {
950
+ "content": "\n\n\n\n\n\n\n\n\n\n\n",
951
+ "lstrip": false,
952
+ "normalized": false,
953
+ "rstrip": false,
954
+ "single_word": false,
955
+ "special": false
956
+ },
957
+ "119": {
958
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n",
959
+ "lstrip": false,
960
+ "normalized": false,
961
+ "rstrip": false,
962
+ "single_word": false,
963
+ "special": false
964
+ },
965
+ "120": {
966
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n",
967
+ "lstrip": false,
968
+ "normalized": false,
969
+ "rstrip": false,
970
+ "single_word": false,
971
+ "special": false
972
+ },
973
+ "121": {
974
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
975
+ "lstrip": false,
976
+ "normalized": false,
977
+ "rstrip": false,
978
+ "single_word": false,
979
+ "special": false
980
+ },
981
+ "122": {
982
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
983
+ "lstrip": false,
984
+ "normalized": false,
985
+ "rstrip": false,
986
+ "single_word": false,
987
+ "special": false
988
+ },
989
+ "123": {
990
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
991
+ "lstrip": false,
992
+ "normalized": false,
993
+ "rstrip": false,
994
+ "single_word": false,
995
+ "special": false
996
+ },
997
+ "124": {
998
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
999
+ "lstrip": false,
1000
+ "normalized": false,
1001
+ "rstrip": false,
1002
+ "single_word": false,
1003
+ "special": false
1004
+ },
1005
+ "125": {
1006
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1007
+ "lstrip": false,
1008
+ "normalized": false,
1009
+ "rstrip": false,
1010
+ "single_word": false,
1011
+ "special": false
1012
+ },
1013
+ "126": {
1014
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1015
+ "lstrip": false,
1016
+ "normalized": false,
1017
+ "rstrip": false,
1018
+ "single_word": false,
1019
+ "special": false
1020
+ },
1021
+ "127": {
1022
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1023
+ "lstrip": false,
1024
+ "normalized": false,
1025
+ "rstrip": false,
1026
+ "single_word": false,
1027
+ "special": false
1028
+ },
1029
+ "128": {
1030
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1031
+ "lstrip": false,
1032
+ "normalized": false,
1033
+ "rstrip": false,
1034
+ "single_word": false,
1035
+ "special": false
1036
+ },
1037
+ "129": {
1038
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1039
+ "lstrip": false,
1040
+ "normalized": false,
1041
+ "rstrip": false,
1042
+ "single_word": false,
1043
+ "special": false
1044
+ },
1045
+ "130": {
1046
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1047
+ "lstrip": false,
1048
+ "normalized": false,
1049
+ "rstrip": false,
1050
+ "single_word": false,
1051
+ "special": false
1052
+ },
1053
+ "131": {
1054
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1055
+ "lstrip": false,
1056
+ "normalized": false,
1057
+ "rstrip": false,
1058
+ "single_word": false,
1059
+ "special": false
1060
+ },
1061
+ "132": {
1062
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1063
+ "lstrip": false,
1064
+ "normalized": false,
1065
+ "rstrip": false,
1066
+ "single_word": false,
1067
+ "special": false
1068
+ },
1069
+ "133": {
1070
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1071
+ "lstrip": false,
1072
+ "normalized": false,
1073
+ "rstrip": false,
1074
+ "single_word": false,
1075
+ "special": false
1076
+ },
1077
+ "134": {
1078
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1079
+ "lstrip": false,
1080
+ "normalized": false,
1081
+ "rstrip": false,
1082
+ "single_word": false,
1083
+ "special": false
1084
+ },
1085
+ "135": {
1086
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1087
+ "lstrip": false,
1088
+ "normalized": false,
1089
+ "rstrip": false,
1090
+ "single_word": false,
1091
+ "special": false
1092
+ },
1093
+ "136": {
1094
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1095
+ "lstrip": false,
1096
+ "normalized": false,
1097
+ "rstrip": false,
1098
+ "single_word": false,
1099
+ "special": false
1100
+ },
1101
+ "137": {
1102
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1103
+ "lstrip": false,
1104
+ "normalized": false,
1105
+ "rstrip": false,
1106
+ "single_word": false,
1107
+ "special": false
1108
+ },
1109
+ "138": {
1110
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1111
+ "lstrip": false,
1112
+ "normalized": false,
1113
+ "rstrip": false,
1114
+ "single_word": false,
1115
+ "special": false
1116
+ },
1117
+ "139": {
1118
+ "content": "▁▁",
1119
+ "lstrip": false,
1120
+ "normalized": false,
1121
+ "rstrip": false,
1122
+ "single_word": false,
1123
+ "special": false
1124
+ },
1125
+ "140": {
1126
+ "content": "▁▁▁",
1127
+ "lstrip": false,
1128
+ "normalized": false,
1129
+ "rstrip": false,
1130
+ "single_word": false,
1131
+ "special": false
1132
+ },
1133
+ "141": {
1134
+ "content": "▁▁▁▁",
1135
+ "lstrip": false,
1136
+ "normalized": false,
1137
+ "rstrip": false,
1138
+ "single_word": false,
1139
+ "special": false
1140
+ },
1141
+ "142": {
1142
+ "content": "▁▁▁▁▁",
1143
+ "lstrip": false,
1144
+ "normalized": false,
1145
+ "rstrip": false,
1146
+ "single_word": false,
1147
+ "special": false
1148
+ },
1149
+ "143": {
1150
+ "content": "▁▁▁▁▁▁",
1151
+ "lstrip": false,
1152
+ "normalized": false,
1153
+ "rstrip": false,
1154
+ "single_word": false,
1155
+ "special": false
1156
+ },
1157
+ "144": {
1158
+ "content": "▁▁▁▁▁▁▁",
1159
+ "lstrip": false,
1160
+ "normalized": false,
1161
+ "rstrip": false,
1162
+ "single_word": false,
1163
+ "special": false
1164
+ },
1165
+ "145": {
1166
+ "content": "▁▁▁▁▁▁▁▁",
1167
+ "lstrip": false,
1168
+ "normalized": false,
1169
+ "rstrip": false,
1170
+ "single_word": false,
1171
+ "special": false
1172
+ },
1173
+ "146": {
1174
+ "content": "▁▁▁▁▁▁▁▁▁",
1175
+ "lstrip": false,
1176
+ "normalized": false,
1177
+ "rstrip": false,
1178
+ "single_word": false,
1179
+ "special": false
1180
+ },
1181
+ "147": {
1182
+ "content": "▁▁▁▁▁▁▁▁▁▁",
1183
+ "lstrip": false,
1184
+ "normalized": false,
1185
+ "rstrip": false,
1186
+ "single_word": false,
1187
+ "special": false
1188
+ },
1189
+ "148": {
1190
+ "content": "▁▁▁▁▁▁▁▁▁▁▁",
1191
+ "lstrip": false,
1192
+ "normalized": false,
1193
+ "rstrip": false,
1194
+ "single_word": false,
1195
+ "special": false
1196
+ },
1197
+ "149": {
1198
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁",
1199
+ "lstrip": false,
1200
+ "normalized": false,
1201
+ "rstrip": false,
1202
+ "single_word": false,
1203
+ "special": false
1204
+ },
1205
+ "150": {
1206
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁",
1207
+ "lstrip": false,
1208
+ "normalized": false,
1209
+ "rstrip": false,
1210
+ "single_word": false,
1211
+ "special": false
1212
+ },
1213
+ "151": {
1214
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1215
+ "lstrip": false,
1216
+ "normalized": false,
1217
+ "rstrip": false,
1218
+ "single_word": false,
1219
+ "special": false
1220
+ },
1221
+ "152": {
1222
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1223
+ "lstrip": false,
1224
+ "normalized": false,
1225
+ "rstrip": false,
1226
+ "single_word": false,
1227
+ "special": false
1228
+ },
1229
+ "153": {
1230
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1231
+ "lstrip": false,
1232
+ "normalized": false,
1233
+ "rstrip": false,
1234
+ "single_word": false,
1235
+ "special": false
1236
+ },
1237
+ "154": {
1238
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1239
+ "lstrip": false,
1240
+ "normalized": false,
1241
+ "rstrip": false,
1242
+ "single_word": false,
1243
+ "special": false
1244
+ },
1245
+ "155": {
1246
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1247
+ "lstrip": false,
1248
+ "normalized": false,
1249
+ "rstrip": false,
1250
+ "single_word": false,
1251
+ "special": false
1252
+ },
1253
+ "156": {
1254
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1255
+ "lstrip": false,
1256
+ "normalized": false,
1257
+ "rstrip": false,
1258
+ "single_word": false,
1259
+ "special": false
1260
+ },
1261
+ "157": {
1262
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1263
+ "lstrip": false,
1264
+ "normalized": false,
1265
+ "rstrip": false,
1266
+ "single_word": false,
1267
+ "special": false
1268
+ },
1269
+ "158": {
1270
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1271
+ "lstrip": false,
1272
+ "normalized": false,
1273
+ "rstrip": false,
1274
+ "single_word": false,
1275
+ "special": false
1276
+ },
1277
+ "159": {
1278
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1279
+ "lstrip": false,
1280
+ "normalized": false,
1281
+ "rstrip": false,
1282
+ "single_word": false,
1283
+ "special": false
1284
+ },
1285
+ "160": {
1286
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1287
+ "lstrip": false,
1288
+ "normalized": false,
1289
+ "rstrip": false,
1290
+ "single_word": false,
1291
+ "special": false
1292
+ },
1293
+ "161": {
1294
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1295
+ "lstrip": false,
1296
+ "normalized": false,
1297
+ "rstrip": false,
1298
+ "single_word": false,
1299
+ "special": false
1300
+ },
1301
+ "162": {
1302
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1303
+ "lstrip": false,
1304
+ "normalized": false,
1305
+ "rstrip": false,
1306
+ "single_word": false,
1307
+ "special": false
1308
+ },
1309
+ "163": {
1310
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1311
+ "lstrip": false,
1312
+ "normalized": false,
1313
+ "rstrip": false,
1314
+ "single_word": false,
1315
+ "special": false
1316
+ },
1317
+ "164": {
1318
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1319
+ "lstrip": false,
1320
+ "normalized": false,
1321
+ "rstrip": false,
1322
+ "single_word": false,
1323
+ "special": false
1324
+ },
1325
+ "165": {
1326
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1327
+ "lstrip": false,
1328
+ "normalized": false,
1329
+ "rstrip": false,
1330
+ "single_word": false,
1331
+ "special": false
1332
+ },
1333
+ "166": {
1334
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1335
+ "lstrip": false,
1336
+ "normalized": false,
1337
+ "rstrip": false,
1338
+ "single_word": false,
1339
+ "special": false
1340
+ },
1341
+ "167": {
1342
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1343
+ "lstrip": false,
1344
+ "normalized": false,
1345
+ "rstrip": false,
1346
+ "single_word": false,
1347
+ "special": false
1348
+ },
1349
+ "168": {
1350
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1351
+ "lstrip": false,
1352
+ "normalized": false,
1353
+ "rstrip": false,
1354
+ "single_word": false,
1355
+ "special": false
1356
+ },
1357
+ "169": {
1358
+ "content": "<table>",
1359
+ "lstrip": false,
1360
+ "normalized": false,
1361
+ "rstrip": false,
1362
+ "single_word": false,
1363
+ "special": false
1364
+ },
1365
+ "170": {
1366
+ "content": "<caption>",
1367
+ "lstrip": false,
1368
+ "normalized": false,
1369
+ "rstrip": false,
1370
+ "single_word": false,
1371
+ "special": false
1372
+ },
1373
+ "171": {
1374
+ "content": "<thead>",
1375
+ "lstrip": false,
1376
+ "normalized": false,
1377
+ "rstrip": false,
1378
+ "single_word": false,
1379
+ "special": false
1380
+ },
1381
+ "172": {
1382
+ "content": "<tbody>",
1383
+ "lstrip": false,
1384
+ "normalized": false,
1385
+ "rstrip": false,
1386
+ "single_word": false,
1387
+ "special": false
1388
+ },
1389
+ "173": {
1390
+ "content": "<tfoot>",
1391
+ "lstrip": false,
1392
+ "normalized": false,
1393
+ "rstrip": false,
1394
+ "single_word": false,
1395
+ "special": false
1396
+ },
1397
+ "174": {
1398
+ "content": "<tr>",
1399
+ "lstrip": false,
1400
+ "normalized": false,
1401
+ "rstrip": false,
1402
+ "single_word": false,
1403
+ "special": false
1404
+ },
1405
+ "175": {
1406
+ "content": "<th>",
1407
+ "lstrip": false,
1408
+ "normalized": false,
1409
+ "rstrip": false,
1410
+ "single_word": false,
1411
+ "special": false
1412
+ },
1413
+ "176": {
1414
+ "content": "<td>",
1415
+ "lstrip": false,
1416
+ "normalized": false,
1417
+ "rstrip": false,
1418
+ "single_word": false,
1419
+ "special": false
1420
+ },
1421
+ "177": {
1422
+ "content": "</table>",
1423
+ "lstrip": false,
1424
+ "normalized": false,
1425
+ "rstrip": false,
1426
+ "single_word": false,
1427
+ "special": false
1428
+ },
1429
+ "178": {
1430
+ "content": "</caption>",
1431
+ "lstrip": false,
1432
+ "normalized": false,
1433
+ "rstrip": false,
1434
+ "single_word": false,
1435
+ "special": false
1436
+ },
1437
+ "179": {
1438
+ "content": "</thead>",
1439
+ "lstrip": false,
1440
+ "normalized": false,
1441
+ "rstrip": false,
1442
+ "single_word": false,
1443
+ "special": false
1444
+ },
1445
+ "180": {
1446
+ "content": "</tbody>",
1447
+ "lstrip": false,
1448
+ "normalized": false,
1449
+ "rstrip": false,
1450
+ "single_word": false,
1451
+ "special": false
1452
+ },
1453
+ "181": {
1454
+ "content": "</tfoot>",
1455
+ "lstrip": false,
1456
+ "normalized": false,
1457
+ "rstrip": false,
1458
+ "single_word": false,
1459
+ "special": false
1460
+ },
1461
+ "182": {
1462
+ "content": "</tr>",
1463
+ "lstrip": false,
1464
+ "normalized": false,
1465
+ "rstrip": false,
1466
+ "single_word": false,
1467
+ "special": false
1468
+ },
1469
+ "183": {
1470
+ "content": "</th>",
1471
+ "lstrip": false,
1472
+ "normalized": false,
1473
+ "rstrip": false,
1474
+ "single_word": false,
1475
+ "special": false
1476
+ },
1477
+ "184": {
1478
+ "content": "</td>",
1479
+ "lstrip": false,
1480
+ "normalized": false,
1481
+ "rstrip": false,
1482
+ "single_word": false,
1483
+ "special": false
1484
+ },
1485
+ "185": {
1486
+ "content": "<h1>",
1487
+ "lstrip": false,
1488
+ "normalized": false,
1489
+ "rstrip": false,
1490
+ "single_word": false,
1491
+ "special": false
1492
+ },
1493
+ "186": {
1494
+ "content": "<h2>",
1495
+ "lstrip": false,
1496
+ "normalized": false,
1497
+ "rstrip": false,
1498
+ "single_word": false,
1499
+ "special": false
1500
+ },
1501
+ "187": {
1502
+ "content": "<h3>",
1503
+ "lstrip": false,
1504
+ "normalized": false,
1505
+ "rstrip": false,
1506
+ "single_word": false,
1507
+ "special": false
1508
+ },
1509
+ "188": {
1510
+ "content": "<h4>",
1511
+ "lstrip": false,
1512
+ "normalized": false,
1513
+ "rstrip": false,
1514
+ "single_word": false,
1515
+ "special": false
1516
+ },
1517
+ "189": {
1518
+ "content": "<h5>",
1519
+ "lstrip": false,
1520
+ "normalized": false,
1521
+ "rstrip": false,
1522
+ "single_word": false,
1523
+ "special": false
1524
+ },
1525
+ "190": {
1526
+ "content": "<h6>",
1527
+ "lstrip": false,
1528
+ "normalized": false,
1529
+ "rstrip": false,
1530
+ "single_word": false,
1531
+ "special": false
1532
+ },
1533
+ "191": {
1534
+ "content": "<blockquote>",
1535
+ "lstrip": false,
1536
+ "normalized": false,
1537
+ "rstrip": false,
1538
+ "single_word": false,
1539
+ "special": false
1540
+ },
1541
+ "192": {
1542
+ "content": "</h1>",
1543
+ "lstrip": false,
1544
+ "normalized": false,
1545
+ "rstrip": false,
1546
+ "single_word": false,
1547
+ "special": false
1548
+ },
1549
+ "193": {
1550
+ "content": "</h2>",
1551
+ "lstrip": false,
1552
+ "normalized": false,
1553
+ "rstrip": false,
1554
+ "single_word": false,
1555
+ "special": false
1556
+ },
1557
+ "194": {
1558
+ "content": "</h3>",
1559
+ "lstrip": false,
1560
+ "normalized": false,
1561
+ "rstrip": false,
1562
+ "single_word": false,
1563
+ "special": false
1564
+ },
1565
+ "195": {
1566
+ "content": "</h4>",
1567
+ "lstrip": false,
1568
+ "normalized": false,
1569
+ "rstrip": false,
1570
+ "single_word": false,
1571
+ "special": false
1572
+ },
1573
+ "196": {
1574
+ "content": "</h5>",
1575
+ "lstrip": false,
1576
+ "normalized": false,
1577
+ "rstrip": false,
1578
+ "single_word": false,
1579
+ "special": false
1580
+ },
1581
+ "197": {
1582
+ "content": "</h6>",
1583
+ "lstrip": false,
1584
+ "normalized": false,
1585
+ "rstrip": false,
1586
+ "single_word": false,
1587
+ "special": false
1588
+ },
1589
+ "198": {
1590
+ "content": "</blockquote>",
1591
+ "lstrip": false,
1592
+ "normalized": false,
1593
+ "rstrip": false,
1594
+ "single_word": false,
1595
+ "special": false
1596
+ },
1597
+ "199": {
1598
+ "content": "<strong>",
1599
+ "lstrip": false,
1600
+ "normalized": false,
1601
+ "rstrip": false,
1602
+ "single_word": false,
1603
+ "special": false
1604
+ },
1605
+ "200": {
1606
+ "content": "<em>",
1607
+ "lstrip": false,
1608
+ "normalized": false,
1609
+ "rstrip": false,
1610
+ "single_word": false,
1611
+ "special": false
1612
+ },
1613
+ "201": {
1614
+ "content": "<b>",
1615
+ "lstrip": false,
1616
+ "normalized": false,
1617
+ "rstrip": false,
1618
+ "single_word": false,
1619
+ "special": false
1620
+ },
1621
+ "202": {
1622
+ "content": "<i>",
1623
+ "lstrip": false,
1624
+ "normalized": false,
1625
+ "rstrip": false,
1626
+ "single_word": false,
1627
+ "special": false
1628
+ },
1629
+ "203": {
1630
+ "content": "<u>",
1631
+ "lstrip": false,
1632
+ "normalized": false,
1633
+ "rstrip": false,
1634
+ "single_word": false,
1635
+ "special": false
1636
+ },
1637
+ "204": {
1638
+ "content": "<s>",
1639
+ "lstrip": false,
1640
+ "normalized": false,
1641
+ "rstrip": false,
1642
+ "single_word": false,
1643
+ "special": false
1644
+ },
1645
+ "205": {
1646
+ "content": "<sub>",
1647
+ "lstrip": false,
1648
+ "normalized": false,
1649
+ "rstrip": false,
1650
+ "single_word": false,
1651
+ "special": false
1652
+ },
1653
+ "206": {
1654
+ "content": "<sup>",
1655
+ "lstrip": false,
1656
+ "normalized": false,
1657
+ "rstrip": false,
1658
+ "single_word": false,
1659
+ "special": false
1660
+ },
1661
+ "207": {
1662
+ "content": "<code>",
1663
+ "lstrip": false,
1664
+ "normalized": false,
1665
+ "rstrip": false,
1666
+ "single_word": false,
1667
+ "special": false
1668
+ },
1669
+ "208": {
1670
+ "content": "</strong>",
1671
+ "lstrip": false,
1672
+ "normalized": false,
1673
+ "rstrip": false,
1674
+ "single_word": false,
1675
+ "special": false
1676
+ },
1677
+ "209": {
1678
+ "content": "</em>",
1679
+ "lstrip": false,
1680
+ "normalized": false,
1681
+ "rstrip": false,
1682
+ "single_word": false,
1683
+ "special": false
1684
+ },
1685
+ "210": {
1686
+ "content": "</b>",
1687
+ "lstrip": false,
1688
+ "normalized": false,
1689
+ "rstrip": false,
1690
+ "single_word": false,
1691
+ "special": false
1692
+ },
1693
+ "211": {
1694
+ "content": "</i>",
1695
+ "lstrip": false,
1696
+ "normalized": false,
1697
+ "rstrip": false,
1698
+ "single_word": false,
1699
+ "special": false
1700
+ },
1701
+ "212": {
1702
+ "content": "</u>",
1703
+ "lstrip": false,
1704
+ "normalized": false,
1705
+ "rstrip": false,
1706
+ "single_word": false,
1707
+ "special": false
1708
+ },
1709
+ "213": {
1710
+ "content": "</s>",
1711
+ "lstrip": false,
1712
+ "normalized": false,
1713
+ "rstrip": false,
1714
+ "single_word": false,
1715
+ "special": false
1716
+ },
1717
+ "214": {
1718
+ "content": "</sub>",
1719
+ "lstrip": false,
1720
+ "normalized": false,
1721
+ "rstrip": false,
1722
+ "single_word": false,
1723
+ "special": false
1724
+ },
1725
+ "215": {
1726
+ "content": "</sup>",
1727
+ "lstrip": false,
1728
+ "normalized": false,
1729
+ "rstrip": false,
1730
+ "single_word": false,
1731
+ "special": false
1732
+ },
1733
+ "216": {
1734
+ "content": "</code>",
1735
+ "lstrip": false,
1736
+ "normalized": false,
1737
+ "rstrip": false,
1738
+ "single_word": false,
1739
+ "special": false
1740
+ },
1741
+ "255968": {
1742
+ "content": "[toxicity=0]",
1743
+ "lstrip": false,
1744
+ "normalized": false,
1745
+ "rstrip": false,
1746
+ "single_word": false,
1747
+ "special": false
1748
+ },
1749
+ "255969": {
1750
+ "content": "\t\t",
1751
+ "lstrip": false,
1752
+ "normalized": false,
1753
+ "rstrip": false,
1754
+ "single_word": false,
1755
+ "special": false
1756
+ },
1757
+ "255970": {
1758
+ "content": "\t\t\t",
1759
+ "lstrip": false,
1760
+ "normalized": false,
1761
+ "rstrip": false,
1762
+ "single_word": false,
1763
+ "special": false
1764
+ },
1765
+ "255971": {
1766
+ "content": "\t\t\t\t",
1767
+ "lstrip": false,
1768
+ "normalized": false,
1769
+ "rstrip": false,
1770
+ "single_word": false,
1771
+ "special": false
1772
+ },
1773
+ "255972": {
1774
+ "content": "\t\t\t\t\t",
1775
+ "lstrip": false,
1776
+ "normalized": false,
1777
+ "rstrip": false,
1778
+ "single_word": false,
1779
+ "special": false
1780
+ },
1781
+ "255973": {
1782
+ "content": "\t\t\t\t\t\t",
1783
+ "lstrip": false,
1784
+ "normalized": false,
1785
+ "rstrip": false,
1786
+ "single_word": false,
1787
+ "special": false
1788
+ },
1789
+ "255974": {
1790
+ "content": "\t\t\t\t\t\t\t",
1791
+ "lstrip": false,
1792
+ "normalized": false,
1793
+ "rstrip": false,
1794
+ "single_word": false,
1795
+ "special": false
1796
+ },
1797
+ "255975": {
1798
+ "content": "\t\t\t\t\t\t\t\t",
1799
+ "lstrip": false,
1800
+ "normalized": false,
1801
+ "rstrip": false,
1802
+ "single_word": false,
1803
+ "special": false
1804
+ },
1805
+ "255976": {
1806
+ "content": "\t\t\t\t\t\t\t\t\t",
1807
+ "lstrip": false,
1808
+ "normalized": false,
1809
+ "rstrip": false,
1810
+ "single_word": false,
1811
+ "special": false
1812
+ },
1813
+ "255977": {
1814
+ "content": "\t\t\t\t\t\t\t\t\t\t",
1815
+ "lstrip": false,
1816
+ "normalized": false,
1817
+ "rstrip": false,
1818
+ "single_word": false,
1819
+ "special": false
1820
+ },
1821
+ "255978": {
1822
+ "content": "\t\t\t\t\t\t\t\t\t\t\t",
1823
+ "lstrip": false,
1824
+ "normalized": false,
1825
+ "rstrip": false,
1826
+ "single_word": false,
1827
+ "special": false
1828
+ },
1829
+ "255979": {
1830
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t",
1831
+ "lstrip": false,
1832
+ "normalized": false,
1833
+ "rstrip": false,
1834
+ "single_word": false,
1835
+ "special": false
1836
+ },
1837
+ "255980": {
1838
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t",
1839
+ "lstrip": false,
1840
+ "normalized": false,
1841
+ "rstrip": false,
1842
+ "single_word": false,
1843
+ "special": false
1844
+ },
1845
+ "255981": {
1846
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1847
+ "lstrip": false,
1848
+ "normalized": false,
1849
+ "rstrip": false,
1850
+ "single_word": false,
1851
+ "special": false
1852
+ },
1853
+ "255982": {
1854
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1855
+ "lstrip": false,
1856
+ "normalized": false,
1857
+ "rstrip": false,
1858
+ "single_word": false,
1859
+ "special": false
1860
+ },
1861
+ "255983": {
1862
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1863
+ "lstrip": false,
1864
+ "normalized": false,
1865
+ "rstrip": false,
1866
+ "single_word": false,
1867
+ "special": false
1868
+ },
1869
+ "255984": {
1870
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1871
+ "lstrip": false,
1872
+ "normalized": false,
1873
+ "rstrip": false,
1874
+ "single_word": false,
1875
+ "special": false
1876
+ },
1877
+ "255985": {
1878
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1879
+ "lstrip": false,
1880
+ "normalized": false,
1881
+ "rstrip": false,
1882
+ "single_word": false,
1883
+ "special": false
1884
+ },
1885
+ "255986": {
1886
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1887
+ "lstrip": false,
1888
+ "normalized": false,
1889
+ "rstrip": false,
1890
+ "single_word": false,
1891
+ "special": false
1892
+ },
1893
+ "255987": {
1894
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1895
+ "lstrip": false,
1896
+ "normalized": false,
1897
+ "rstrip": false,
1898
+ "single_word": false,
1899
+ "special": false
1900
+ },
1901
+ "255988": {
1902
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1903
+ "lstrip": false,
1904
+ "normalized": false,
1905
+ "rstrip": false,
1906
+ "single_word": false,
1907
+ "special": false
1908
+ },
1909
+ "255989": {
1910
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1911
+ "lstrip": false,
1912
+ "normalized": false,
1913
+ "rstrip": false,
1914
+ "single_word": false,
1915
+ "special": false
1916
+ },
1917
+ "255990": {
1918
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1919
+ "lstrip": false,
1920
+ "normalized": false,
1921
+ "rstrip": false,
1922
+ "single_word": false,
1923
+ "special": false
1924
+ },
1925
+ "255991": {
1926
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1927
+ "lstrip": false,
1928
+ "normalized": false,
1929
+ "rstrip": false,
1930
+ "single_word": false,
1931
+ "special": false
1932
+ },
1933
+ "255992": {
1934
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1935
+ "lstrip": false,
1936
+ "normalized": false,
1937
+ "rstrip": false,
1938
+ "single_word": false,
1939
+ "special": false
1940
+ },
1941
+ "255993": {
1942
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1943
+ "lstrip": false,
1944
+ "normalized": false,
1945
+ "rstrip": false,
1946
+ "single_word": false,
1947
+ "special": false
1948
+ },
1949
+ "255994": {
1950
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1951
+ "lstrip": false,
1952
+ "normalized": false,
1953
+ "rstrip": false,
1954
+ "single_word": false,
1955
+ "special": false
1956
+ },
1957
+ "255995": {
1958
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1959
+ "lstrip": false,
1960
+ "normalized": false,
1961
+ "rstrip": false,
1962
+ "single_word": false,
1963
+ "special": false
1964
+ },
1965
+ "255996": {
1966
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1967
+ "lstrip": false,
1968
+ "normalized": false,
1969
+ "rstrip": false,
1970
+ "single_word": false,
1971
+ "special": false
1972
+ },
1973
+ "255997": {
1974
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1975
+ "lstrip": false,
1976
+ "normalized": false,
1977
+ "rstrip": false,
1978
+ "single_word": false,
1979
+ "special": false
1980
+ },
1981
+ "255998": {
1982
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1983
+ "lstrip": false,
1984
+ "normalized": false,
1985
+ "rstrip": false,
1986
+ "single_word": false,
1987
+ "special": false
1988
+ },
1989
+ "255999": {
1990
+ "content": "<unused99>",
1991
+ "lstrip": false,
1992
+ "normalized": false,
1993
+ "rstrip": false,
1994
+ "single_word": false,
1995
+ "special": false
1996
+ }
1997
+ },
1998
+ "additional_special_tokens": [
1999
+ "<start_of_turn>",
2000
+ "<end_of_turn>"
2001
+ ],
2002
+ "bos_token": "<bos>",
2003
+ "clean_up_tokenization_spaces": false,
2004
+ "eos_token": "<eos>",
2005
+ "extra_special_tokens": {},
2006
+ "model_max_length": 8192,
2007
+ "pad_token": "<pad>",
2008
+ "padding_side": "right",
2009
+ "sp_model_kwargs": {},
2010
+ "spaces_between_special_tokens": false,
2011
+ "tokenizer_class": "GemmaTokenizer",
2012
+ "unk_token": "<unk>",
2013
+ "use_default_system_prompt": false
2014
+ }
checkpoint-421/trainer_state.json ADDED
@@ -0,0 +1,3013 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 100,
7
+ "global_step": 421,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0023788284269997025,
14
+ "grad_norm": 1.0281301736831665,
15
+ "learning_rate": 0.0,
16
+ "loss": 2.0766,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.004757656853999405,
21
+ "grad_norm": 1.2767698764801025,
22
+ "learning_rate": 1e-05,
23
+ "loss": 2.3525,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.007136485280999108,
28
+ "grad_norm": 1.3647927045822144,
29
+ "learning_rate": 2e-05,
30
+ "loss": 2.4261,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.00951531370799881,
35
+ "grad_norm": 0.8589039444923401,
36
+ "learning_rate": 3e-05,
37
+ "loss": 1.7271,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.011894142134998514,
42
+ "grad_norm": 1.1814510822296143,
43
+ "learning_rate": 4e-05,
44
+ "loss": 2.1379,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.014272970561998216,
49
+ "grad_norm": 1.012987732887268,
50
+ "learning_rate": 5e-05,
51
+ "loss": 1.8598,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.016651798988997917,
56
+ "grad_norm": 1.052037239074707,
57
+ "learning_rate": 6e-05,
58
+ "loss": 1.9315,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.01903062741599762,
63
+ "grad_norm": 0.8621532320976257,
64
+ "learning_rate": 7e-05,
65
+ "loss": 1.7205,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.021409455842997322,
70
+ "grad_norm": 0.7924615740776062,
71
+ "learning_rate": 8e-05,
72
+ "loss": 1.589,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.023788284269997028,
77
+ "grad_norm": 0.6322035789489746,
78
+ "learning_rate": 9e-05,
79
+ "loss": 1.3374,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.02616711269699673,
84
+ "grad_norm": 0.7854194641113281,
85
+ "learning_rate": 0.0001,
86
+ "loss": 1.4292,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.028545941123996433,
91
+ "grad_norm": 0.6697576642036438,
92
+ "learning_rate": 9.975669099756692e-05,
93
+ "loss": 1.206,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.030924769550996135,
98
+ "grad_norm": 0.7266756296157837,
99
+ "learning_rate": 9.951338199513383e-05,
100
+ "loss": 1.2737,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.033303597977995834,
105
+ "grad_norm": 0.7196414470672607,
106
+ "learning_rate": 9.927007299270074e-05,
107
+ "loss": 1.2023,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.03568242640499554,
112
+ "grad_norm": 0.7868577241897583,
113
+ "learning_rate": 9.902676399026765e-05,
114
+ "loss": 1.1486,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.03806125483199524,
119
+ "grad_norm": 0.7759497761726379,
120
+ "learning_rate": 9.878345498783455e-05,
121
+ "loss": 1.112,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.040440083258994945,
126
+ "grad_norm": 0.7133831977844238,
127
+ "learning_rate": 9.854014598540146e-05,
128
+ "loss": 1.0158,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.042818911685994644,
133
+ "grad_norm": 0.644658088684082,
134
+ "learning_rate": 9.829683698296837e-05,
135
+ "loss": 0.9656,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.04519774011299435,
140
+ "grad_norm": 0.6295652985572815,
141
+ "learning_rate": 9.805352798053529e-05,
142
+ "loss": 0.9295,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.047576568539994056,
147
+ "grad_norm": 0.6460481882095337,
148
+ "learning_rate": 9.78102189781022e-05,
149
+ "loss": 0.9851,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.049955396966993755,
154
+ "grad_norm": 0.5485146045684814,
155
+ "learning_rate": 9.756690997566911e-05,
156
+ "loss": 0.864,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.05233422539399346,
161
+ "grad_norm": 0.6552495360374451,
162
+ "learning_rate": 9.732360097323602e-05,
163
+ "loss": 0.7903,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.05471305382099316,
168
+ "grad_norm": 0.5481061935424805,
169
+ "learning_rate": 9.708029197080293e-05,
170
+ "loss": 0.843,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.057091882247992866,
175
+ "grad_norm": 0.6262676119804382,
176
+ "learning_rate": 9.683698296836983e-05,
177
+ "loss": 0.9421,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.059470710674992565,
182
+ "grad_norm": 0.5493852496147156,
183
+ "learning_rate": 9.659367396593674e-05,
184
+ "loss": 0.9045,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.06184953910199227,
189
+ "grad_norm": 0.542617678642273,
190
+ "learning_rate": 9.635036496350366e-05,
191
+ "loss": 0.8028,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.06422836752899197,
196
+ "grad_norm": 0.4842965602874756,
197
+ "learning_rate": 9.610705596107057e-05,
198
+ "loss": 0.716,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.06660719595599167,
203
+ "grad_norm": 0.5457621216773987,
204
+ "learning_rate": 9.586374695863748e-05,
205
+ "loss": 0.7069,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.06898602438299138,
210
+ "grad_norm": 0.5163421034812927,
211
+ "learning_rate": 9.562043795620439e-05,
212
+ "loss": 0.6999,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.07136485280999108,
217
+ "grad_norm": 0.4519389569759369,
218
+ "learning_rate": 9.537712895377129e-05,
219
+ "loss": 0.6219,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.07374368123699078,
224
+ "grad_norm": 0.5117298364639282,
225
+ "learning_rate": 9.51338199513382e-05,
226
+ "loss": 0.597,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.07612250966399048,
231
+ "grad_norm": 0.5518686771392822,
232
+ "learning_rate": 9.489051094890511e-05,
233
+ "loss": 0.6789,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.07850133809099019,
238
+ "grad_norm": 0.5353817939758301,
239
+ "learning_rate": 9.464720194647201e-05,
240
+ "loss": 0.6493,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.08088016651798989,
245
+ "grad_norm": 0.48304057121276855,
246
+ "learning_rate": 9.440389294403893e-05,
247
+ "loss": 0.5638,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.08325899494498959,
252
+ "grad_norm": 0.42356157302856445,
253
+ "learning_rate": 9.416058394160584e-05,
254
+ "loss": 0.5589,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.08563782337198929,
259
+ "grad_norm": 0.39856433868408203,
260
+ "learning_rate": 9.391727493917275e-05,
261
+ "loss": 0.5208,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.088016651798989,
266
+ "grad_norm": 0.4774276912212372,
267
+ "learning_rate": 9.367396593673966e-05,
268
+ "loss": 0.6367,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.0903954802259887,
273
+ "grad_norm": 0.48944222927093506,
274
+ "learning_rate": 9.343065693430657e-05,
275
+ "loss": 0.6261,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.0927743086529884,
280
+ "grad_norm": 0.4067060053348541,
281
+ "learning_rate": 9.318734793187348e-05,
282
+ "loss": 0.5512,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.09515313707998811,
287
+ "grad_norm": 0.4157446622848511,
288
+ "learning_rate": 9.29440389294404e-05,
289
+ "loss": 0.5823,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.09753196550698781,
294
+ "grad_norm": 0.43023228645324707,
295
+ "learning_rate": 9.27007299270073e-05,
296
+ "loss": 0.5499,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.09991079393398751,
301
+ "grad_norm": 0.40139999985694885,
302
+ "learning_rate": 9.245742092457421e-05,
303
+ "loss": 0.5808,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.10228962236098721,
308
+ "grad_norm": 0.4564228653907776,
309
+ "learning_rate": 9.221411192214112e-05,
310
+ "loss": 0.652,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.10466845078798692,
315
+ "grad_norm": 0.40338802337646484,
316
+ "learning_rate": 9.197080291970803e-05,
317
+ "loss": 0.5065,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.10704727921498662,
322
+ "grad_norm": 0.5054526925086975,
323
+ "learning_rate": 9.172749391727494e-05,
324
+ "loss": 0.6194,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.10942610764198632,
329
+ "grad_norm": 0.44123998284339905,
330
+ "learning_rate": 9.148418491484186e-05,
331
+ "loss": 0.5657,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.11180493606898602,
336
+ "grad_norm": 0.4445621371269226,
337
+ "learning_rate": 9.124087591240877e-05,
338
+ "loss": 0.5808,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.11418376449598573,
343
+ "grad_norm": 0.3913380801677704,
344
+ "learning_rate": 9.099756690997568e-05,
345
+ "loss": 0.5816,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.11656259292298543,
350
+ "grad_norm": 0.43966594338417053,
351
+ "learning_rate": 9.075425790754258e-05,
352
+ "loss": 0.4836,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.11894142134998513,
357
+ "grad_norm": 0.4385397434234619,
358
+ "learning_rate": 9.051094890510949e-05,
359
+ "loss": 0.5962,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.12132024977698483,
364
+ "grad_norm": 0.41545379161834717,
365
+ "learning_rate": 9.02676399026764e-05,
366
+ "loss": 0.5748,
367
+ "step": 51
368
+ },
369
+ {
370
+ "epoch": 0.12369907820398454,
371
+ "grad_norm": 0.3504558801651001,
372
+ "learning_rate": 9.002433090024331e-05,
373
+ "loss": 0.5202,
374
+ "step": 52
375
+ },
376
+ {
377
+ "epoch": 0.12607790663098423,
378
+ "grad_norm": 0.44601067900657654,
379
+ "learning_rate": 8.978102189781023e-05,
380
+ "loss": 0.5451,
381
+ "step": 53
382
+ },
383
+ {
384
+ "epoch": 0.12845673505798394,
385
+ "grad_norm": 0.3965899646282196,
386
+ "learning_rate": 8.953771289537714e-05,
387
+ "loss": 0.5578,
388
+ "step": 54
389
+ },
390
+ {
391
+ "epoch": 0.13083556348498365,
392
+ "grad_norm": 0.44455817341804504,
393
+ "learning_rate": 8.929440389294405e-05,
394
+ "loss": 0.4968,
395
+ "step": 55
396
+ },
397
+ {
398
+ "epoch": 0.13321439191198334,
399
+ "grad_norm": 0.45583397150039673,
400
+ "learning_rate": 8.905109489051096e-05,
401
+ "loss": 0.598,
402
+ "step": 56
403
+ },
404
+ {
405
+ "epoch": 0.13559322033898305,
406
+ "grad_norm": 0.46639132499694824,
407
+ "learning_rate": 8.880778588807786e-05,
408
+ "loss": 0.5857,
409
+ "step": 57
410
+ },
411
+ {
412
+ "epoch": 0.13797204876598276,
413
+ "grad_norm": 0.4358392655849457,
414
+ "learning_rate": 8.856447688564477e-05,
415
+ "loss": 0.5299,
416
+ "step": 58
417
+ },
418
+ {
419
+ "epoch": 0.14035087719298245,
420
+ "grad_norm": 0.4803287088871002,
421
+ "learning_rate": 8.832116788321168e-05,
422
+ "loss": 0.5082,
423
+ "step": 59
424
+ },
425
+ {
426
+ "epoch": 0.14272970561998216,
427
+ "grad_norm": 0.41488590836524963,
428
+ "learning_rate": 8.80778588807786e-05,
429
+ "loss": 0.5223,
430
+ "step": 60
431
+ },
432
+ {
433
+ "epoch": 0.14510853404698187,
434
+ "grad_norm": 0.46010011434555054,
435
+ "learning_rate": 8.783454987834551e-05,
436
+ "loss": 0.5125,
437
+ "step": 61
438
+ },
439
+ {
440
+ "epoch": 0.14748736247398156,
441
+ "grad_norm": 0.3907822370529175,
442
+ "learning_rate": 8.759124087591242e-05,
443
+ "loss": 0.5121,
444
+ "step": 62
445
+ },
446
+ {
447
+ "epoch": 0.14986619090098127,
448
+ "grad_norm": 0.4548039138317108,
449
+ "learning_rate": 8.734793187347933e-05,
450
+ "loss": 0.577,
451
+ "step": 63
452
+ },
453
+ {
454
+ "epoch": 0.15224501932798096,
455
+ "grad_norm": 0.3938556909561157,
456
+ "learning_rate": 8.710462287104624e-05,
457
+ "loss": 0.4726,
458
+ "step": 64
459
+ },
460
+ {
461
+ "epoch": 0.15462384775498067,
462
+ "grad_norm": 0.46850043535232544,
463
+ "learning_rate": 8.686131386861314e-05,
464
+ "loss": 0.5203,
465
+ "step": 65
466
+ },
467
+ {
468
+ "epoch": 0.15700267618198038,
469
+ "grad_norm": 0.43241533637046814,
470
+ "learning_rate": 8.661800486618005e-05,
471
+ "loss": 0.4683,
472
+ "step": 66
473
+ },
474
+ {
475
+ "epoch": 0.15938150460898007,
476
+ "grad_norm": 0.43365252017974854,
477
+ "learning_rate": 8.637469586374697e-05,
478
+ "loss": 0.5508,
479
+ "step": 67
480
+ },
481
+ {
482
+ "epoch": 0.16176033303597978,
483
+ "grad_norm": 0.4271024763584137,
484
+ "learning_rate": 8.613138686131386e-05,
485
+ "loss": 0.4992,
486
+ "step": 68
487
+ },
488
+ {
489
+ "epoch": 0.1641391614629795,
490
+ "grad_norm": 0.4089069366455078,
491
+ "learning_rate": 8.588807785888078e-05,
492
+ "loss": 0.4575,
493
+ "step": 69
494
+ },
495
+ {
496
+ "epoch": 0.16651798988997918,
497
+ "grad_norm": 0.43635204434394836,
498
+ "learning_rate": 8.564476885644769e-05,
499
+ "loss": 0.5513,
500
+ "step": 70
501
+ },
502
+ {
503
+ "epoch": 0.1688968183169789,
504
+ "grad_norm": 0.4246712625026703,
505
+ "learning_rate": 8.54014598540146e-05,
506
+ "loss": 0.4759,
507
+ "step": 71
508
+ },
509
+ {
510
+ "epoch": 0.17127564674397858,
511
+ "grad_norm": 0.463638573884964,
512
+ "learning_rate": 8.515815085158151e-05,
513
+ "loss": 0.5323,
514
+ "step": 72
515
+ },
516
+ {
517
+ "epoch": 0.1736544751709783,
518
+ "grad_norm": 0.4437566101551056,
519
+ "learning_rate": 8.491484184914842e-05,
520
+ "loss": 0.5446,
521
+ "step": 73
522
+ },
523
+ {
524
+ "epoch": 0.176033303597978,
525
+ "grad_norm": 0.4280001223087311,
526
+ "learning_rate": 8.467153284671534e-05,
527
+ "loss": 0.5092,
528
+ "step": 74
529
+ },
530
+ {
531
+ "epoch": 0.1784121320249777,
532
+ "grad_norm": 0.4512069523334503,
533
+ "learning_rate": 8.442822384428223e-05,
534
+ "loss": 0.5002,
535
+ "step": 75
536
+ },
537
+ {
538
+ "epoch": 0.1807909604519774,
539
+ "grad_norm": 0.39247390627861023,
540
+ "learning_rate": 8.418491484184915e-05,
541
+ "loss": 0.4522,
542
+ "step": 76
543
+ },
544
+ {
545
+ "epoch": 0.1831697888789771,
546
+ "grad_norm": 0.531852662563324,
547
+ "learning_rate": 8.394160583941606e-05,
548
+ "loss": 0.5507,
549
+ "step": 77
550
+ },
551
+ {
552
+ "epoch": 0.1855486173059768,
553
+ "grad_norm": 0.49727141857147217,
554
+ "learning_rate": 8.369829683698297e-05,
555
+ "loss": 0.519,
556
+ "step": 78
557
+ },
558
+ {
559
+ "epoch": 0.1879274457329765,
560
+ "grad_norm": 0.46292659640312195,
561
+ "learning_rate": 8.345498783454988e-05,
562
+ "loss": 0.5271,
563
+ "step": 79
564
+ },
565
+ {
566
+ "epoch": 0.19030627415997622,
567
+ "grad_norm": 0.4514133036136627,
568
+ "learning_rate": 8.32116788321168e-05,
569
+ "loss": 0.5499,
570
+ "step": 80
571
+ },
572
+ {
573
+ "epoch": 0.1926851025869759,
574
+ "grad_norm": 0.42186304926872253,
575
+ "learning_rate": 8.29683698296837e-05,
576
+ "loss": 0.541,
577
+ "step": 81
578
+ },
579
+ {
580
+ "epoch": 0.19506393101397562,
581
+ "grad_norm": 0.4527208209037781,
582
+ "learning_rate": 8.272506082725062e-05,
583
+ "loss": 0.482,
584
+ "step": 82
585
+ },
586
+ {
587
+ "epoch": 0.1974427594409753,
588
+ "grad_norm": 0.4818190634250641,
589
+ "learning_rate": 8.248175182481752e-05,
590
+ "loss": 0.5627,
591
+ "step": 83
592
+ },
593
+ {
594
+ "epoch": 0.19982158786797502,
595
+ "grad_norm": 0.44998934864997864,
596
+ "learning_rate": 8.223844282238443e-05,
597
+ "loss": 0.5169,
598
+ "step": 84
599
+ },
600
+ {
601
+ "epoch": 0.20220041629497473,
602
+ "grad_norm": 0.42806658148765564,
603
+ "learning_rate": 8.199513381995134e-05,
604
+ "loss": 0.5613,
605
+ "step": 85
606
+ },
607
+ {
608
+ "epoch": 0.20457924472197442,
609
+ "grad_norm": 0.4187542796134949,
610
+ "learning_rate": 8.175182481751825e-05,
611
+ "loss": 0.4584,
612
+ "step": 86
613
+ },
614
+ {
615
+ "epoch": 0.20695807314897413,
616
+ "grad_norm": 0.5182843804359436,
617
+ "learning_rate": 8.150851581508516e-05,
618
+ "loss": 0.5253,
619
+ "step": 87
620
+ },
621
+ {
622
+ "epoch": 0.20933690157597384,
623
+ "grad_norm": 0.4145914614200592,
624
+ "learning_rate": 8.126520681265208e-05,
625
+ "loss": 0.4828,
626
+ "step": 88
627
+ },
628
+ {
629
+ "epoch": 0.21171573000297353,
630
+ "grad_norm": 0.46647554636001587,
631
+ "learning_rate": 8.102189781021899e-05,
632
+ "loss": 0.4496,
633
+ "step": 89
634
+ },
635
+ {
636
+ "epoch": 0.21409455842997324,
637
+ "grad_norm": 0.4022408723831177,
638
+ "learning_rate": 8.07785888077859e-05,
639
+ "loss": 0.4329,
640
+ "step": 90
641
+ },
642
+ {
643
+ "epoch": 0.21647338685697295,
644
+ "grad_norm": 0.4754613935947418,
645
+ "learning_rate": 8.05352798053528e-05,
646
+ "loss": 0.5314,
647
+ "step": 91
648
+ },
649
+ {
650
+ "epoch": 0.21885221528397264,
651
+ "grad_norm": 0.41736510396003723,
652
+ "learning_rate": 8.029197080291971e-05,
653
+ "loss": 0.4906,
654
+ "step": 92
655
+ },
656
+ {
657
+ "epoch": 0.22123104371097235,
658
+ "grad_norm": 0.4199044406414032,
659
+ "learning_rate": 8.004866180048662e-05,
660
+ "loss": 0.495,
661
+ "step": 93
662
+ },
663
+ {
664
+ "epoch": 0.22360987213797204,
665
+ "grad_norm": 0.4374317526817322,
666
+ "learning_rate": 7.980535279805353e-05,
667
+ "loss": 0.533,
668
+ "step": 94
669
+ },
670
+ {
671
+ "epoch": 0.22598870056497175,
672
+ "grad_norm": 0.4060494899749756,
673
+ "learning_rate": 7.956204379562045e-05,
674
+ "loss": 0.4711,
675
+ "step": 95
676
+ },
677
+ {
678
+ "epoch": 0.22836752899197146,
679
+ "grad_norm": 0.49371036887168884,
680
+ "learning_rate": 7.931873479318736e-05,
681
+ "loss": 0.5417,
682
+ "step": 96
683
+ },
684
+ {
685
+ "epoch": 0.23074635741897115,
686
+ "grad_norm": 0.4903344511985779,
687
+ "learning_rate": 7.907542579075427e-05,
688
+ "loss": 0.4595,
689
+ "step": 97
690
+ },
691
+ {
692
+ "epoch": 0.23312518584597086,
693
+ "grad_norm": 0.4055982530117035,
694
+ "learning_rate": 7.883211678832118e-05,
695
+ "loss": 0.4926,
696
+ "step": 98
697
+ },
698
+ {
699
+ "epoch": 0.23550401427297057,
700
+ "grad_norm": 0.4552580416202545,
701
+ "learning_rate": 7.858880778588808e-05,
702
+ "loss": 0.5644,
703
+ "step": 99
704
+ },
705
+ {
706
+ "epoch": 0.23788284269997026,
707
+ "grad_norm": 0.4261854588985443,
708
+ "learning_rate": 7.834549878345499e-05,
709
+ "loss": 0.4915,
710
+ "step": 100
711
+ },
712
+ {
713
+ "epoch": 0.23788284269997026,
714
+ "eval_loss": 0.48822253942489624,
715
+ "eval_runtime": 27.0528,
716
+ "eval_samples_per_second": 27.65,
717
+ "eval_steps_per_second": 13.825,
718
+ "step": 100
719
+ },
720
+ {
721
+ "epoch": 0.24026167112696997,
722
+ "grad_norm": 0.48629841208457947,
723
+ "learning_rate": 7.81021897810219e-05,
724
+ "loss": 0.4824,
725
+ "step": 101
726
+ },
727
+ {
728
+ "epoch": 0.24264049955396966,
729
+ "grad_norm": 0.4699622094631195,
730
+ "learning_rate": 7.785888077858882e-05,
731
+ "loss": 0.4642,
732
+ "step": 102
733
+ },
734
+ {
735
+ "epoch": 0.24501932798096937,
736
+ "grad_norm": 0.39009714126586914,
737
+ "learning_rate": 7.761557177615573e-05,
738
+ "loss": 0.4614,
739
+ "step": 103
740
+ },
741
+ {
742
+ "epoch": 0.24739815640796908,
743
+ "grad_norm": 0.4852162003517151,
744
+ "learning_rate": 7.737226277372264e-05,
745
+ "loss": 0.5112,
746
+ "step": 104
747
+ },
748
+ {
749
+ "epoch": 0.24977698483496877,
750
+ "grad_norm": 0.5088614821434021,
751
+ "learning_rate": 7.712895377128954e-05,
752
+ "loss": 0.4914,
753
+ "step": 105
754
+ },
755
+ {
756
+ "epoch": 0.25215581326196845,
757
+ "grad_norm": 0.4846271276473999,
758
+ "learning_rate": 7.688564476885645e-05,
759
+ "loss": 0.4832,
760
+ "step": 106
761
+ },
762
+ {
763
+ "epoch": 0.25453464168896817,
764
+ "grad_norm": 0.48459744453430176,
765
+ "learning_rate": 7.664233576642336e-05,
766
+ "loss": 0.5386,
767
+ "step": 107
768
+ },
769
+ {
770
+ "epoch": 0.2569134701159679,
771
+ "grad_norm": 0.47507190704345703,
772
+ "learning_rate": 7.639902676399027e-05,
773
+ "loss": 0.4593,
774
+ "step": 108
775
+ },
776
+ {
777
+ "epoch": 0.2592922985429676,
778
+ "grad_norm": 0.46605178713798523,
779
+ "learning_rate": 7.615571776155717e-05,
780
+ "loss": 0.5265,
781
+ "step": 109
782
+ },
783
+ {
784
+ "epoch": 0.2616711269699673,
785
+ "grad_norm": 0.4616071283817291,
786
+ "learning_rate": 7.591240875912408e-05,
787
+ "loss": 0.4323,
788
+ "step": 110
789
+ },
790
+ {
791
+ "epoch": 0.264049955396967,
792
+ "grad_norm": 0.5419961214065552,
793
+ "learning_rate": 7.5669099756691e-05,
794
+ "loss": 0.5403,
795
+ "step": 111
796
+ },
797
+ {
798
+ "epoch": 0.2664287838239667,
799
+ "grad_norm": 0.4992631673812866,
800
+ "learning_rate": 7.542579075425791e-05,
801
+ "loss": 0.4558,
802
+ "step": 112
803
+ },
804
+ {
805
+ "epoch": 0.2688076122509664,
806
+ "grad_norm": 0.5071640610694885,
807
+ "learning_rate": 7.518248175182482e-05,
808
+ "loss": 0.5385,
809
+ "step": 113
810
+ },
811
+ {
812
+ "epoch": 0.2711864406779661,
813
+ "grad_norm": 0.5004437565803528,
814
+ "learning_rate": 7.493917274939173e-05,
815
+ "loss": 0.5106,
816
+ "step": 114
817
+ },
818
+ {
819
+ "epoch": 0.2735652691049658,
820
+ "grad_norm": 0.4706288278102875,
821
+ "learning_rate": 7.469586374695864e-05,
822
+ "loss": 0.5333,
823
+ "step": 115
824
+ },
825
+ {
826
+ "epoch": 0.2759440975319655,
827
+ "grad_norm": 0.5518192052841187,
828
+ "learning_rate": 7.445255474452556e-05,
829
+ "loss": 0.5945,
830
+ "step": 116
831
+ },
832
+ {
833
+ "epoch": 0.2783229259589652,
834
+ "grad_norm": 0.4758547246456146,
835
+ "learning_rate": 7.420924574209245e-05,
836
+ "loss": 0.533,
837
+ "step": 117
838
+ },
839
+ {
840
+ "epoch": 0.2807017543859649,
841
+ "grad_norm": 0.4491472840309143,
842
+ "learning_rate": 7.396593673965937e-05,
843
+ "loss": 0.4213,
844
+ "step": 118
845
+ },
846
+ {
847
+ "epoch": 0.2830805828129646,
848
+ "grad_norm": 0.4540884494781494,
849
+ "learning_rate": 7.372262773722628e-05,
850
+ "loss": 0.4747,
851
+ "step": 119
852
+ },
853
+ {
854
+ "epoch": 0.2854594112399643,
855
+ "grad_norm": 0.4252176880836487,
856
+ "learning_rate": 7.347931873479319e-05,
857
+ "loss": 0.4639,
858
+ "step": 120
859
+ },
860
+ {
861
+ "epoch": 0.28783823966696404,
862
+ "grad_norm": 0.4695313274860382,
863
+ "learning_rate": 7.32360097323601e-05,
864
+ "loss": 0.5563,
865
+ "step": 121
866
+ },
867
+ {
868
+ "epoch": 0.29021706809396375,
869
+ "grad_norm": 0.49951449036598206,
870
+ "learning_rate": 7.299270072992701e-05,
871
+ "loss": 0.4517,
872
+ "step": 122
873
+ },
874
+ {
875
+ "epoch": 0.2925958965209634,
876
+ "grad_norm": 0.4763878285884857,
877
+ "learning_rate": 7.274939172749393e-05,
878
+ "loss": 0.5223,
879
+ "step": 123
880
+ },
881
+ {
882
+ "epoch": 0.2949747249479631,
883
+ "grad_norm": 0.49518251419067383,
884
+ "learning_rate": 7.250608272506084e-05,
885
+ "loss": 0.5832,
886
+ "step": 124
887
+ },
888
+ {
889
+ "epoch": 0.29735355337496283,
890
+ "grad_norm": 0.4721708595752716,
891
+ "learning_rate": 7.226277372262774e-05,
892
+ "loss": 0.5259,
893
+ "step": 125
894
+ },
895
+ {
896
+ "epoch": 0.29973238180196254,
897
+ "grad_norm": 0.4356157183647156,
898
+ "learning_rate": 7.201946472019465e-05,
899
+ "loss": 0.408,
900
+ "step": 126
901
+ },
902
+ {
903
+ "epoch": 0.30211121022896226,
904
+ "grad_norm": 0.4771776795387268,
905
+ "learning_rate": 7.177615571776156e-05,
906
+ "loss": 0.4909,
907
+ "step": 127
908
+ },
909
+ {
910
+ "epoch": 0.3044900386559619,
911
+ "grad_norm": 0.5367064476013184,
912
+ "learning_rate": 7.153284671532847e-05,
913
+ "loss": 0.556,
914
+ "step": 128
915
+ },
916
+ {
917
+ "epoch": 0.3068688670829616,
918
+ "grad_norm": 0.43037423491477966,
919
+ "learning_rate": 7.128953771289538e-05,
920
+ "loss": 0.3805,
921
+ "step": 129
922
+ },
923
+ {
924
+ "epoch": 0.30924769550996134,
925
+ "grad_norm": 0.4576215445995331,
926
+ "learning_rate": 7.10462287104623e-05,
927
+ "loss": 0.437,
928
+ "step": 130
929
+ },
930
+ {
931
+ "epoch": 0.31162652393696105,
932
+ "grad_norm": 0.46385103464126587,
933
+ "learning_rate": 7.080291970802921e-05,
934
+ "loss": 0.4561,
935
+ "step": 131
936
+ },
937
+ {
938
+ "epoch": 0.31400535236396077,
939
+ "grad_norm": 0.4961807131767273,
940
+ "learning_rate": 7.055961070559612e-05,
941
+ "loss": 0.3691,
942
+ "step": 132
943
+ },
944
+ {
945
+ "epoch": 0.3163841807909605,
946
+ "grad_norm": 0.5330118536949158,
947
+ "learning_rate": 7.031630170316302e-05,
948
+ "loss": 0.5341,
949
+ "step": 133
950
+ },
951
+ {
952
+ "epoch": 0.31876300921796014,
953
+ "grad_norm": 0.4410998225212097,
954
+ "learning_rate": 7.007299270072993e-05,
955
+ "loss": 0.4867,
956
+ "step": 134
957
+ },
958
+ {
959
+ "epoch": 0.32114183764495985,
960
+ "grad_norm": 0.4794428050518036,
961
+ "learning_rate": 6.982968369829684e-05,
962
+ "loss": 0.4818,
963
+ "step": 135
964
+ },
965
+ {
966
+ "epoch": 0.32352066607195956,
967
+ "grad_norm": 0.49389636516571045,
968
+ "learning_rate": 6.958637469586375e-05,
969
+ "loss": 0.5156,
970
+ "step": 136
971
+ },
972
+ {
973
+ "epoch": 0.3258994944989593,
974
+ "grad_norm": 0.49501174688339233,
975
+ "learning_rate": 6.934306569343067e-05,
976
+ "loss": 0.5122,
977
+ "step": 137
978
+ },
979
+ {
980
+ "epoch": 0.328278322925959,
981
+ "grad_norm": 0.4967164695262909,
982
+ "learning_rate": 6.909975669099758e-05,
983
+ "loss": 0.4853,
984
+ "step": 138
985
+ },
986
+ {
987
+ "epoch": 0.33065715135295864,
988
+ "grad_norm": 0.5276123881340027,
989
+ "learning_rate": 6.885644768856449e-05,
990
+ "loss": 0.4703,
991
+ "step": 139
992
+ },
993
+ {
994
+ "epoch": 0.33303597977995836,
995
+ "grad_norm": 0.5336246490478516,
996
+ "learning_rate": 6.86131386861314e-05,
997
+ "loss": 0.4652,
998
+ "step": 140
999
+ },
1000
+ {
1001
+ "epoch": 0.33541480820695807,
1002
+ "grad_norm": 0.3898225426673889,
1003
+ "learning_rate": 6.83698296836983e-05,
1004
+ "loss": 0.3983,
1005
+ "step": 141
1006
+ },
1007
+ {
1008
+ "epoch": 0.3377936366339578,
1009
+ "grad_norm": 0.4705723226070404,
1010
+ "learning_rate": 6.81265206812652e-05,
1011
+ "loss": 0.4646,
1012
+ "step": 142
1013
+ },
1014
+ {
1015
+ "epoch": 0.3401724650609575,
1016
+ "grad_norm": 0.4973605275154114,
1017
+ "learning_rate": 6.788321167883211e-05,
1018
+ "loss": 0.4848,
1019
+ "step": 143
1020
+ },
1021
+ {
1022
+ "epoch": 0.34255129348795715,
1023
+ "grad_norm": 0.5203383564949036,
1024
+ "learning_rate": 6.763990267639902e-05,
1025
+ "loss": 0.4992,
1026
+ "step": 144
1027
+ },
1028
+ {
1029
+ "epoch": 0.34493012191495687,
1030
+ "grad_norm": 0.47000083327293396,
1031
+ "learning_rate": 6.739659367396593e-05,
1032
+ "loss": 0.4665,
1033
+ "step": 145
1034
+ },
1035
+ {
1036
+ "epoch": 0.3473089503419566,
1037
+ "grad_norm": 0.4483359456062317,
1038
+ "learning_rate": 6.715328467153285e-05,
1039
+ "loss": 0.4553,
1040
+ "step": 146
1041
+ },
1042
+ {
1043
+ "epoch": 0.3496877787689563,
1044
+ "grad_norm": 0.4584805965423584,
1045
+ "learning_rate": 6.690997566909976e-05,
1046
+ "loss": 0.4945,
1047
+ "step": 147
1048
+ },
1049
+ {
1050
+ "epoch": 0.352066607195956,
1051
+ "grad_norm": 0.5037974119186401,
1052
+ "learning_rate": 6.666666666666667e-05,
1053
+ "loss": 0.4723,
1054
+ "step": 148
1055
+ },
1056
+ {
1057
+ "epoch": 0.3544454356229557,
1058
+ "grad_norm": 0.4981141984462738,
1059
+ "learning_rate": 6.642335766423358e-05,
1060
+ "loss": 0.5417,
1061
+ "step": 149
1062
+ },
1063
+ {
1064
+ "epoch": 0.3568242640499554,
1065
+ "grad_norm": 0.49627479910850525,
1066
+ "learning_rate": 6.618004866180048e-05,
1067
+ "loss": 0.4569,
1068
+ "step": 150
1069
+ },
1070
+ {
1071
+ "epoch": 0.3592030924769551,
1072
+ "grad_norm": 0.49889135360717773,
1073
+ "learning_rate": 6.593673965936739e-05,
1074
+ "loss": 0.5391,
1075
+ "step": 151
1076
+ },
1077
+ {
1078
+ "epoch": 0.3615819209039548,
1079
+ "grad_norm": 0.5222321152687073,
1080
+ "learning_rate": 6.56934306569343e-05,
1081
+ "loss": 0.4482,
1082
+ "step": 152
1083
+ },
1084
+ {
1085
+ "epoch": 0.3639607493309545,
1086
+ "grad_norm": 0.48798415064811707,
1087
+ "learning_rate": 6.545012165450122e-05,
1088
+ "loss": 0.5148,
1089
+ "step": 153
1090
+ },
1091
+ {
1092
+ "epoch": 0.3663395777579542,
1093
+ "grad_norm": 0.4458797574043274,
1094
+ "learning_rate": 6.520681265206813e-05,
1095
+ "loss": 0.4516,
1096
+ "step": 154
1097
+ },
1098
+ {
1099
+ "epoch": 0.3687184061849539,
1100
+ "grad_norm": 0.4997321665287018,
1101
+ "learning_rate": 6.496350364963504e-05,
1102
+ "loss": 0.4769,
1103
+ "step": 155
1104
+ },
1105
+ {
1106
+ "epoch": 0.3710972346119536,
1107
+ "grad_norm": 0.5233137011528015,
1108
+ "learning_rate": 6.472019464720195e-05,
1109
+ "loss": 0.5108,
1110
+ "step": 156
1111
+ },
1112
+ {
1113
+ "epoch": 0.3734760630389533,
1114
+ "grad_norm": 0.5136488676071167,
1115
+ "learning_rate": 6.447688564476886e-05,
1116
+ "loss": 0.4755,
1117
+ "step": 157
1118
+ },
1119
+ {
1120
+ "epoch": 0.375854891465953,
1121
+ "grad_norm": 0.4736205041408539,
1122
+ "learning_rate": 6.423357664233576e-05,
1123
+ "loss": 0.3712,
1124
+ "step": 158
1125
+ },
1126
+ {
1127
+ "epoch": 0.37823371989295274,
1128
+ "grad_norm": 0.43539518117904663,
1129
+ "learning_rate": 6.399026763990267e-05,
1130
+ "loss": 0.416,
1131
+ "step": 159
1132
+ },
1133
+ {
1134
+ "epoch": 0.38061254831995245,
1135
+ "grad_norm": 0.44481900334358215,
1136
+ "learning_rate": 6.374695863746959e-05,
1137
+ "loss": 0.4628,
1138
+ "step": 160
1139
+ },
1140
+ {
1141
+ "epoch": 0.3829913767469521,
1142
+ "grad_norm": 0.45447418093681335,
1143
+ "learning_rate": 6.35036496350365e-05,
1144
+ "loss": 0.4273,
1145
+ "step": 161
1146
+ },
1147
+ {
1148
+ "epoch": 0.3853702051739518,
1149
+ "grad_norm": 0.43469730019569397,
1150
+ "learning_rate": 6.326034063260341e-05,
1151
+ "loss": 0.4584,
1152
+ "step": 162
1153
+ },
1154
+ {
1155
+ "epoch": 0.38774903360095153,
1156
+ "grad_norm": 0.4581772983074188,
1157
+ "learning_rate": 6.301703163017032e-05,
1158
+ "loss": 0.4379,
1159
+ "step": 163
1160
+ },
1161
+ {
1162
+ "epoch": 0.39012786202795124,
1163
+ "grad_norm": 0.42583826184272766,
1164
+ "learning_rate": 6.277372262773723e-05,
1165
+ "loss": 0.4336,
1166
+ "step": 164
1167
+ },
1168
+ {
1169
+ "epoch": 0.39250669045495096,
1170
+ "grad_norm": 0.5775184631347656,
1171
+ "learning_rate": 6.253041362530415e-05,
1172
+ "loss": 0.4901,
1173
+ "step": 165
1174
+ },
1175
+ {
1176
+ "epoch": 0.3948855188819506,
1177
+ "grad_norm": 0.4797421991825104,
1178
+ "learning_rate": 6.228710462287104e-05,
1179
+ "loss": 0.4319,
1180
+ "step": 166
1181
+ },
1182
+ {
1183
+ "epoch": 0.3972643473089503,
1184
+ "grad_norm": 0.5240707397460938,
1185
+ "learning_rate": 6.204379562043796e-05,
1186
+ "loss": 0.4638,
1187
+ "step": 167
1188
+ },
1189
+ {
1190
+ "epoch": 0.39964317573595004,
1191
+ "grad_norm": 0.5036562085151672,
1192
+ "learning_rate": 6.180048661800487e-05,
1193
+ "loss": 0.5198,
1194
+ "step": 168
1195
+ },
1196
+ {
1197
+ "epoch": 0.40202200416294975,
1198
+ "grad_norm": 0.5376377105712891,
1199
+ "learning_rate": 6.155717761557178e-05,
1200
+ "loss": 0.4564,
1201
+ "step": 169
1202
+ },
1203
+ {
1204
+ "epoch": 0.40440083258994947,
1205
+ "grad_norm": 0.5044119954109192,
1206
+ "learning_rate": 6.131386861313869e-05,
1207
+ "loss": 0.4269,
1208
+ "step": 170
1209
+ },
1210
+ {
1211
+ "epoch": 0.4067796610169492,
1212
+ "grad_norm": 0.5195197463035583,
1213
+ "learning_rate": 6.10705596107056e-05,
1214
+ "loss": 0.4866,
1215
+ "step": 171
1216
+ },
1217
+ {
1218
+ "epoch": 0.40915848944394884,
1219
+ "grad_norm": 0.4676225483417511,
1220
+ "learning_rate": 6.082725060827251e-05,
1221
+ "loss": 0.4509,
1222
+ "step": 172
1223
+ },
1224
+ {
1225
+ "epoch": 0.41153731787094855,
1226
+ "grad_norm": 0.4422922134399414,
1227
+ "learning_rate": 6.058394160583942e-05,
1228
+ "loss": 0.4498,
1229
+ "step": 173
1230
+ },
1231
+ {
1232
+ "epoch": 0.41391614629794826,
1233
+ "grad_norm": 0.5001342296600342,
1234
+ "learning_rate": 6.034063260340633e-05,
1235
+ "loss": 0.4743,
1236
+ "step": 174
1237
+ },
1238
+ {
1239
+ "epoch": 0.416294974724948,
1240
+ "grad_norm": 0.4759523272514343,
1241
+ "learning_rate": 6.0097323600973245e-05,
1242
+ "loss": 0.4514,
1243
+ "step": 175
1244
+ },
1245
+ {
1246
+ "epoch": 0.4186738031519477,
1247
+ "grad_norm": 0.46963706612586975,
1248
+ "learning_rate": 5.985401459854016e-05,
1249
+ "loss": 0.4776,
1250
+ "step": 176
1251
+ },
1252
+ {
1253
+ "epoch": 0.42105263157894735,
1254
+ "grad_norm": 0.49028345942497253,
1255
+ "learning_rate": 5.961070559610706e-05,
1256
+ "loss": 0.4632,
1257
+ "step": 177
1258
+ },
1259
+ {
1260
+ "epoch": 0.42343146000594706,
1261
+ "grad_norm": 0.4388274848461151,
1262
+ "learning_rate": 5.9367396593673974e-05,
1263
+ "loss": 0.4822,
1264
+ "step": 178
1265
+ },
1266
+ {
1267
+ "epoch": 0.42581028843294677,
1268
+ "grad_norm": 0.4349250793457031,
1269
+ "learning_rate": 5.9124087591240886e-05,
1270
+ "loss": 0.4468,
1271
+ "step": 179
1272
+ },
1273
+ {
1274
+ "epoch": 0.4281891168599465,
1275
+ "grad_norm": 0.4884635806083679,
1276
+ "learning_rate": 5.8880778588807784e-05,
1277
+ "loss": 0.4724,
1278
+ "step": 180
1279
+ },
1280
+ {
1281
+ "epoch": 0.4305679452869462,
1282
+ "grad_norm": 0.4598194360733032,
1283
+ "learning_rate": 5.8637469586374696e-05,
1284
+ "loss": 0.4762,
1285
+ "step": 181
1286
+ },
1287
+ {
1288
+ "epoch": 0.4329467737139459,
1289
+ "grad_norm": 0.5073289275169373,
1290
+ "learning_rate": 5.83941605839416e-05,
1291
+ "loss": 0.4732,
1292
+ "step": 182
1293
+ },
1294
+ {
1295
+ "epoch": 0.43532560214094557,
1296
+ "grad_norm": 0.4630277752876282,
1297
+ "learning_rate": 5.815085158150851e-05,
1298
+ "loss": 0.4301,
1299
+ "step": 183
1300
+ },
1301
+ {
1302
+ "epoch": 0.4377044305679453,
1303
+ "grad_norm": 0.42805591225624084,
1304
+ "learning_rate": 5.7907542579075425e-05,
1305
+ "loss": 0.47,
1306
+ "step": 184
1307
+ },
1308
+ {
1309
+ "epoch": 0.440083258994945,
1310
+ "grad_norm": 0.6053451299667358,
1311
+ "learning_rate": 5.766423357664234e-05,
1312
+ "loss": 0.4977,
1313
+ "step": 185
1314
+ },
1315
+ {
1316
+ "epoch": 0.4424620874219447,
1317
+ "grad_norm": 0.530331552028656,
1318
+ "learning_rate": 5.742092457420924e-05,
1319
+ "loss": 0.4492,
1320
+ "step": 186
1321
+ },
1322
+ {
1323
+ "epoch": 0.4448409158489444,
1324
+ "grad_norm": 0.46791204810142517,
1325
+ "learning_rate": 5.7177615571776154e-05,
1326
+ "loss": 0.4402,
1327
+ "step": 187
1328
+ },
1329
+ {
1330
+ "epoch": 0.4472197442759441,
1331
+ "grad_norm": 0.543755829334259,
1332
+ "learning_rate": 5.6934306569343066e-05,
1333
+ "loss": 0.5958,
1334
+ "step": 188
1335
+ },
1336
+ {
1337
+ "epoch": 0.4495985727029438,
1338
+ "grad_norm": 0.4579405188560486,
1339
+ "learning_rate": 5.669099756690998e-05,
1340
+ "loss": 0.4145,
1341
+ "step": 189
1342
+ },
1343
+ {
1344
+ "epoch": 0.4519774011299435,
1345
+ "grad_norm": 0.5464953184127808,
1346
+ "learning_rate": 5.644768856447688e-05,
1347
+ "loss": 0.4869,
1348
+ "step": 190
1349
+ },
1350
+ {
1351
+ "epoch": 0.4543562295569432,
1352
+ "grad_norm": 0.4730067551136017,
1353
+ "learning_rate": 5.6204379562043795e-05,
1354
+ "loss": 0.4432,
1355
+ "step": 191
1356
+ },
1357
+ {
1358
+ "epoch": 0.4567350579839429,
1359
+ "grad_norm": 0.4859981834888458,
1360
+ "learning_rate": 5.596107055961071e-05,
1361
+ "loss": 0.4376,
1362
+ "step": 192
1363
+ },
1364
+ {
1365
+ "epoch": 0.4591138864109426,
1366
+ "grad_norm": 0.4743499159812927,
1367
+ "learning_rate": 5.571776155717762e-05,
1368
+ "loss": 0.4542,
1369
+ "step": 193
1370
+ },
1371
+ {
1372
+ "epoch": 0.4614927148379423,
1373
+ "grad_norm": 0.5267781019210815,
1374
+ "learning_rate": 5.5474452554744524e-05,
1375
+ "loss": 0.4684,
1376
+ "step": 194
1377
+ },
1378
+ {
1379
+ "epoch": 0.463871543264942,
1380
+ "grad_norm": 0.5235748291015625,
1381
+ "learning_rate": 5.5231143552311436e-05,
1382
+ "loss": 0.4412,
1383
+ "step": 195
1384
+ },
1385
+ {
1386
+ "epoch": 0.4662503716919417,
1387
+ "grad_norm": 0.4266457259654999,
1388
+ "learning_rate": 5.498783454987835e-05,
1389
+ "loss": 0.3855,
1390
+ "step": 196
1391
+ },
1392
+ {
1393
+ "epoch": 0.46862920011894144,
1394
+ "grad_norm": 0.49032875895500183,
1395
+ "learning_rate": 5.474452554744526e-05,
1396
+ "loss": 0.4413,
1397
+ "step": 197
1398
+ },
1399
+ {
1400
+ "epoch": 0.47100802854594115,
1401
+ "grad_norm": 0.5913426280021667,
1402
+ "learning_rate": 5.4501216545012165e-05,
1403
+ "loss": 0.5653,
1404
+ "step": 198
1405
+ },
1406
+ {
1407
+ "epoch": 0.4733868569729408,
1408
+ "grad_norm": 0.5137138366699219,
1409
+ "learning_rate": 5.425790754257908e-05,
1410
+ "loss": 0.4835,
1411
+ "step": 199
1412
+ },
1413
+ {
1414
+ "epoch": 0.4757656853999405,
1415
+ "grad_norm": 0.43370646238327026,
1416
+ "learning_rate": 5.401459854014599e-05,
1417
+ "loss": 0.41,
1418
+ "step": 200
1419
+ },
1420
+ {
1421
+ "epoch": 0.4757656853999405,
1422
+ "eval_loss": 0.4463058412075043,
1423
+ "eval_runtime": 24.577,
1424
+ "eval_samples_per_second": 30.435,
1425
+ "eval_steps_per_second": 15.218,
1426
+ "step": 200
1427
+ },
1428
+ {
1429
+ "epoch": 0.47814451382694023,
1430
+ "grad_norm": 0.5559374690055847,
1431
+ "learning_rate": 5.37712895377129e-05,
1432
+ "loss": 0.5726,
1433
+ "step": 201
1434
+ },
1435
+ {
1436
+ "epoch": 0.48052334225393994,
1437
+ "grad_norm": 0.48858100175857544,
1438
+ "learning_rate": 5.3527980535279806e-05,
1439
+ "loss": 0.481,
1440
+ "step": 202
1441
+ },
1442
+ {
1443
+ "epoch": 0.48290217068093966,
1444
+ "grad_norm": 0.45764482021331787,
1445
+ "learning_rate": 5.328467153284672e-05,
1446
+ "loss": 0.4345,
1447
+ "step": 203
1448
+ },
1449
+ {
1450
+ "epoch": 0.4852809991079393,
1451
+ "grad_norm": 0.5081002116203308,
1452
+ "learning_rate": 5.304136253041363e-05,
1453
+ "loss": 0.4091,
1454
+ "step": 204
1455
+ },
1456
+ {
1457
+ "epoch": 0.487659827534939,
1458
+ "grad_norm": 0.47981277108192444,
1459
+ "learning_rate": 5.279805352798054e-05,
1460
+ "loss": 0.4198,
1461
+ "step": 205
1462
+ },
1463
+ {
1464
+ "epoch": 0.49003865596193874,
1465
+ "grad_norm": 0.5422961115837097,
1466
+ "learning_rate": 5.255474452554745e-05,
1467
+ "loss": 0.4645,
1468
+ "step": 206
1469
+ },
1470
+ {
1471
+ "epoch": 0.49241748438893845,
1472
+ "grad_norm": 0.5617045164108276,
1473
+ "learning_rate": 5.231143552311436e-05,
1474
+ "loss": 0.499,
1475
+ "step": 207
1476
+ },
1477
+ {
1478
+ "epoch": 0.49479631281593817,
1479
+ "grad_norm": 0.5472312569618225,
1480
+ "learning_rate": 5.206812652068127e-05,
1481
+ "loss": 0.4303,
1482
+ "step": 208
1483
+ },
1484
+ {
1485
+ "epoch": 0.4971751412429379,
1486
+ "grad_norm": 0.560845136642456,
1487
+ "learning_rate": 5.182481751824818e-05,
1488
+ "loss": 0.507,
1489
+ "step": 209
1490
+ },
1491
+ {
1492
+ "epoch": 0.49955396966993754,
1493
+ "grad_norm": 0.5158256888389587,
1494
+ "learning_rate": 5.158150851581509e-05,
1495
+ "loss": 0.5126,
1496
+ "step": 210
1497
+ },
1498
+ {
1499
+ "epoch": 0.5019327980969372,
1500
+ "grad_norm": 0.49810492992401123,
1501
+ "learning_rate": 5.1338199513382e-05,
1502
+ "loss": 0.3799,
1503
+ "step": 211
1504
+ },
1505
+ {
1506
+ "epoch": 0.5043116265239369,
1507
+ "grad_norm": 0.5269343852996826,
1508
+ "learning_rate": 5.109489051094891e-05,
1509
+ "loss": 0.5066,
1510
+ "step": 212
1511
+ },
1512
+ {
1513
+ "epoch": 0.5066904549509367,
1514
+ "grad_norm": 0.48883453011512756,
1515
+ "learning_rate": 5.0851581508515824e-05,
1516
+ "loss": 0.4593,
1517
+ "step": 213
1518
+ },
1519
+ {
1520
+ "epoch": 0.5090692833779363,
1521
+ "grad_norm": 0.5003328919410706,
1522
+ "learning_rate": 5.060827250608273e-05,
1523
+ "loss": 0.4672,
1524
+ "step": 214
1525
+ },
1526
+ {
1527
+ "epoch": 0.5114481118049361,
1528
+ "grad_norm": 0.5346857905387878,
1529
+ "learning_rate": 5.036496350364964e-05,
1530
+ "loss": 0.459,
1531
+ "step": 215
1532
+ },
1533
+ {
1534
+ "epoch": 0.5138269402319358,
1535
+ "grad_norm": 0.5018550157546997,
1536
+ "learning_rate": 5.012165450121655e-05,
1537
+ "loss": 0.427,
1538
+ "step": 216
1539
+ },
1540
+ {
1541
+ "epoch": 0.5162057686589355,
1542
+ "grad_norm": 0.5394279956817627,
1543
+ "learning_rate": 4.987834549878346e-05,
1544
+ "loss": 0.4906,
1545
+ "step": 217
1546
+ },
1547
+ {
1548
+ "epoch": 0.5185845970859352,
1549
+ "grad_norm": 0.41929885745048523,
1550
+ "learning_rate": 4.963503649635037e-05,
1551
+ "loss": 0.4719,
1552
+ "step": 218
1553
+ },
1554
+ {
1555
+ "epoch": 0.5209634255129348,
1556
+ "grad_norm": 0.5181702375411987,
1557
+ "learning_rate": 4.9391727493917275e-05,
1558
+ "loss": 0.4187,
1559
+ "step": 219
1560
+ },
1561
+ {
1562
+ "epoch": 0.5233422539399346,
1563
+ "grad_norm": 0.5157968997955322,
1564
+ "learning_rate": 4.914841849148419e-05,
1565
+ "loss": 0.3988,
1566
+ "step": 220
1567
+ },
1568
+ {
1569
+ "epoch": 0.5257210823669343,
1570
+ "grad_norm": 0.5713850259780884,
1571
+ "learning_rate": 4.89051094890511e-05,
1572
+ "loss": 0.4988,
1573
+ "step": 221
1574
+ },
1575
+ {
1576
+ "epoch": 0.528099910793934,
1577
+ "grad_norm": 0.5276979804039001,
1578
+ "learning_rate": 4.866180048661801e-05,
1579
+ "loss": 0.4289,
1580
+ "step": 222
1581
+ },
1582
+ {
1583
+ "epoch": 0.5304787392209337,
1584
+ "grad_norm": 0.5099546313285828,
1585
+ "learning_rate": 4.8418491484184916e-05,
1586
+ "loss": 0.4143,
1587
+ "step": 223
1588
+ },
1589
+ {
1590
+ "epoch": 0.5328575676479334,
1591
+ "grad_norm": 0.5845214128494263,
1592
+ "learning_rate": 4.817518248175183e-05,
1593
+ "loss": 0.528,
1594
+ "step": 224
1595
+ },
1596
+ {
1597
+ "epoch": 0.5352363960749331,
1598
+ "grad_norm": 0.5065467357635498,
1599
+ "learning_rate": 4.793187347931874e-05,
1600
+ "loss": 0.4109,
1601
+ "step": 225
1602
+ },
1603
+ {
1604
+ "epoch": 0.5376152245019328,
1605
+ "grad_norm": 0.46541669964790344,
1606
+ "learning_rate": 4.7688564476885646e-05,
1607
+ "loss": 0.4202,
1608
+ "step": 226
1609
+ },
1610
+ {
1611
+ "epoch": 0.5399940529289325,
1612
+ "grad_norm": 0.571874737739563,
1613
+ "learning_rate": 4.744525547445256e-05,
1614
+ "loss": 0.5088,
1615
+ "step": 227
1616
+ },
1617
+ {
1618
+ "epoch": 0.5423728813559322,
1619
+ "grad_norm": 0.542327880859375,
1620
+ "learning_rate": 4.720194647201946e-05,
1621
+ "loss": 0.458,
1622
+ "step": 228
1623
+ },
1624
+ {
1625
+ "epoch": 0.5447517097829319,
1626
+ "grad_norm": 0.48291677236557007,
1627
+ "learning_rate": 4.6958637469586375e-05,
1628
+ "loss": 0.3743,
1629
+ "step": 229
1630
+ },
1631
+ {
1632
+ "epoch": 0.5471305382099316,
1633
+ "grad_norm": 0.5330439805984497,
1634
+ "learning_rate": 4.6715328467153287e-05,
1635
+ "loss": 0.4217,
1636
+ "step": 230
1637
+ },
1638
+ {
1639
+ "epoch": 0.5495093666369313,
1640
+ "grad_norm": 0.47011399269104004,
1641
+ "learning_rate": 4.64720194647202e-05,
1642
+ "loss": 0.4582,
1643
+ "step": 231
1644
+ },
1645
+ {
1646
+ "epoch": 0.551888195063931,
1647
+ "grad_norm": 0.5513572692871094,
1648
+ "learning_rate": 4.6228710462287104e-05,
1649
+ "loss": 0.4527,
1650
+ "step": 232
1651
+ },
1652
+ {
1653
+ "epoch": 0.5542670234909307,
1654
+ "grad_norm": 0.61734539270401,
1655
+ "learning_rate": 4.5985401459854016e-05,
1656
+ "loss": 0.5963,
1657
+ "step": 233
1658
+ },
1659
+ {
1660
+ "epoch": 0.5566458519179304,
1661
+ "grad_norm": 0.4924643933773041,
1662
+ "learning_rate": 4.574209245742093e-05,
1663
+ "loss": 0.3916,
1664
+ "step": 234
1665
+ },
1666
+ {
1667
+ "epoch": 0.5590246803449301,
1668
+ "grad_norm": 0.4713283181190491,
1669
+ "learning_rate": 4.549878345498784e-05,
1670
+ "loss": 0.3963,
1671
+ "step": 235
1672
+ },
1673
+ {
1674
+ "epoch": 0.5614035087719298,
1675
+ "grad_norm": 0.4790879786014557,
1676
+ "learning_rate": 4.5255474452554745e-05,
1677
+ "loss": 0.4097,
1678
+ "step": 236
1679
+ },
1680
+ {
1681
+ "epoch": 0.5637823371989296,
1682
+ "grad_norm": 0.4752825200557709,
1683
+ "learning_rate": 4.5012165450121657e-05,
1684
+ "loss": 0.3671,
1685
+ "step": 237
1686
+ },
1687
+ {
1688
+ "epoch": 0.5661611656259292,
1689
+ "grad_norm": 0.6054632663726807,
1690
+ "learning_rate": 4.476885644768857e-05,
1691
+ "loss": 0.478,
1692
+ "step": 238
1693
+ },
1694
+ {
1695
+ "epoch": 0.568539994052929,
1696
+ "grad_norm": 0.5796523094177246,
1697
+ "learning_rate": 4.452554744525548e-05,
1698
+ "loss": 0.4677,
1699
+ "step": 239
1700
+ },
1701
+ {
1702
+ "epoch": 0.5709188224799286,
1703
+ "grad_norm": 0.7159845232963562,
1704
+ "learning_rate": 4.4282238442822386e-05,
1705
+ "loss": 0.6,
1706
+ "step": 240
1707
+ },
1708
+ {
1709
+ "epoch": 0.5732976509069283,
1710
+ "grad_norm": 0.4576638638973236,
1711
+ "learning_rate": 4.40389294403893e-05,
1712
+ "loss": 0.3984,
1713
+ "step": 241
1714
+ },
1715
+ {
1716
+ "epoch": 0.5756764793339281,
1717
+ "grad_norm": 0.5089020133018494,
1718
+ "learning_rate": 4.379562043795621e-05,
1719
+ "loss": 0.4245,
1720
+ "step": 242
1721
+ },
1722
+ {
1723
+ "epoch": 0.5780553077609277,
1724
+ "grad_norm": 0.4587903618812561,
1725
+ "learning_rate": 4.355231143552312e-05,
1726
+ "loss": 0.399,
1727
+ "step": 243
1728
+ },
1729
+ {
1730
+ "epoch": 0.5804341361879275,
1731
+ "grad_norm": 0.46936094760894775,
1732
+ "learning_rate": 4.3309002433090027e-05,
1733
+ "loss": 0.3892,
1734
+ "step": 244
1735
+ },
1736
+ {
1737
+ "epoch": 0.5828129646149272,
1738
+ "grad_norm": 0.5407763719558716,
1739
+ "learning_rate": 4.306569343065693e-05,
1740
+ "loss": 0.5055,
1741
+ "step": 245
1742
+ },
1743
+ {
1744
+ "epoch": 0.5851917930419268,
1745
+ "grad_norm": 0.5131598114967346,
1746
+ "learning_rate": 4.2822384428223844e-05,
1747
+ "loss": 0.469,
1748
+ "step": 246
1749
+ },
1750
+ {
1751
+ "epoch": 0.5875706214689266,
1752
+ "grad_norm": 0.48786240816116333,
1753
+ "learning_rate": 4.2579075425790756e-05,
1754
+ "loss": 0.3993,
1755
+ "step": 247
1756
+ },
1757
+ {
1758
+ "epoch": 0.5899494498959262,
1759
+ "grad_norm": 0.5068132281303406,
1760
+ "learning_rate": 4.233576642335767e-05,
1761
+ "loss": 0.4114,
1762
+ "step": 248
1763
+ },
1764
+ {
1765
+ "epoch": 0.592328278322926,
1766
+ "grad_norm": 0.5316363573074341,
1767
+ "learning_rate": 4.209245742092457e-05,
1768
+ "loss": 0.446,
1769
+ "step": 249
1770
+ },
1771
+ {
1772
+ "epoch": 0.5947071067499257,
1773
+ "grad_norm": 0.511885404586792,
1774
+ "learning_rate": 4.1849148418491485e-05,
1775
+ "loss": 0.4738,
1776
+ "step": 250
1777
+ },
1778
+ {
1779
+ "epoch": 0.5970859351769253,
1780
+ "grad_norm": 0.6263471245765686,
1781
+ "learning_rate": 4.16058394160584e-05,
1782
+ "loss": 0.5074,
1783
+ "step": 251
1784
+ },
1785
+ {
1786
+ "epoch": 0.5994647636039251,
1787
+ "grad_norm": 0.5359822511672974,
1788
+ "learning_rate": 4.136253041362531e-05,
1789
+ "loss": 0.4239,
1790
+ "step": 252
1791
+ },
1792
+ {
1793
+ "epoch": 0.6018435920309247,
1794
+ "grad_norm": 0.5764995217323303,
1795
+ "learning_rate": 4.1119221411192214e-05,
1796
+ "loss": 0.5247,
1797
+ "step": 253
1798
+ },
1799
+ {
1800
+ "epoch": 0.6042224204579245,
1801
+ "grad_norm": 0.5081723928451538,
1802
+ "learning_rate": 4.0875912408759126e-05,
1803
+ "loss": 0.4104,
1804
+ "step": 254
1805
+ },
1806
+ {
1807
+ "epoch": 0.6066012488849242,
1808
+ "grad_norm": 0.5557652115821838,
1809
+ "learning_rate": 4.063260340632604e-05,
1810
+ "loss": 0.4889,
1811
+ "step": 255
1812
+ },
1813
+ {
1814
+ "epoch": 0.6089800773119238,
1815
+ "grad_norm": 0.48941561579704285,
1816
+ "learning_rate": 4.038929440389295e-05,
1817
+ "loss": 0.4557,
1818
+ "step": 256
1819
+ },
1820
+ {
1821
+ "epoch": 0.6113589057389236,
1822
+ "grad_norm": 0.565647304058075,
1823
+ "learning_rate": 4.0145985401459855e-05,
1824
+ "loss": 0.4924,
1825
+ "step": 257
1826
+ },
1827
+ {
1828
+ "epoch": 0.6137377341659233,
1829
+ "grad_norm": 0.5029006004333496,
1830
+ "learning_rate": 3.990267639902677e-05,
1831
+ "loss": 0.4885,
1832
+ "step": 258
1833
+ },
1834
+ {
1835
+ "epoch": 0.616116562592923,
1836
+ "grad_norm": 0.5224466323852539,
1837
+ "learning_rate": 3.965936739659368e-05,
1838
+ "loss": 0.4433,
1839
+ "step": 259
1840
+ },
1841
+ {
1842
+ "epoch": 0.6184953910199227,
1843
+ "grad_norm": 0.6890097260475159,
1844
+ "learning_rate": 3.941605839416059e-05,
1845
+ "loss": 0.5399,
1846
+ "step": 260
1847
+ },
1848
+ {
1849
+ "epoch": 0.6208742194469223,
1850
+ "grad_norm": 0.48153895139694214,
1851
+ "learning_rate": 3.9172749391727496e-05,
1852
+ "loss": 0.3881,
1853
+ "step": 261
1854
+ },
1855
+ {
1856
+ "epoch": 0.6232530478739221,
1857
+ "grad_norm": 0.5819414258003235,
1858
+ "learning_rate": 3.892944038929441e-05,
1859
+ "loss": 0.4568,
1860
+ "step": 262
1861
+ },
1862
+ {
1863
+ "epoch": 0.6256318763009218,
1864
+ "grad_norm": 0.4706772267818451,
1865
+ "learning_rate": 3.868613138686132e-05,
1866
+ "loss": 0.4382,
1867
+ "step": 263
1868
+ },
1869
+ {
1870
+ "epoch": 0.6280107047279215,
1871
+ "grad_norm": 0.5553036332130432,
1872
+ "learning_rate": 3.8442822384428225e-05,
1873
+ "loss": 0.4611,
1874
+ "step": 264
1875
+ },
1876
+ {
1877
+ "epoch": 0.6303895331549212,
1878
+ "grad_norm": 0.5100443959236145,
1879
+ "learning_rate": 3.819951338199514e-05,
1880
+ "loss": 0.424,
1881
+ "step": 265
1882
+ },
1883
+ {
1884
+ "epoch": 0.632768361581921,
1885
+ "grad_norm": 0.47650212049484253,
1886
+ "learning_rate": 3.795620437956204e-05,
1887
+ "loss": 0.4642,
1888
+ "step": 266
1889
+ },
1890
+ {
1891
+ "epoch": 0.6351471900089206,
1892
+ "grad_norm": 0.5056859254837036,
1893
+ "learning_rate": 3.7712895377128954e-05,
1894
+ "loss": 0.4643,
1895
+ "step": 267
1896
+ },
1897
+ {
1898
+ "epoch": 0.6375260184359203,
1899
+ "grad_norm": 0.48869505524635315,
1900
+ "learning_rate": 3.7469586374695866e-05,
1901
+ "loss": 0.4058,
1902
+ "step": 268
1903
+ },
1904
+ {
1905
+ "epoch": 0.63990484686292,
1906
+ "grad_norm": 0.5686202645301819,
1907
+ "learning_rate": 3.722627737226278e-05,
1908
+ "loss": 0.4772,
1909
+ "step": 269
1910
+ },
1911
+ {
1912
+ "epoch": 0.6422836752899197,
1913
+ "grad_norm": 0.523289680480957,
1914
+ "learning_rate": 3.698296836982968e-05,
1915
+ "loss": 0.4257,
1916
+ "step": 270
1917
+ },
1918
+ {
1919
+ "epoch": 0.6446625037169195,
1920
+ "grad_norm": 0.4355628192424774,
1921
+ "learning_rate": 3.6739659367396595e-05,
1922
+ "loss": 0.4035,
1923
+ "step": 271
1924
+ },
1925
+ {
1926
+ "epoch": 0.6470413321439191,
1927
+ "grad_norm": 0.5667319297790527,
1928
+ "learning_rate": 3.649635036496351e-05,
1929
+ "loss": 0.5109,
1930
+ "step": 272
1931
+ },
1932
+ {
1933
+ "epoch": 0.6494201605709188,
1934
+ "grad_norm": 0.49869677424430847,
1935
+ "learning_rate": 3.625304136253042e-05,
1936
+ "loss": 0.4496,
1937
+ "step": 273
1938
+ },
1939
+ {
1940
+ "epoch": 0.6517989889979185,
1941
+ "grad_norm": 0.4514950215816498,
1942
+ "learning_rate": 3.6009732360097324e-05,
1943
+ "loss": 0.3948,
1944
+ "step": 274
1945
+ },
1946
+ {
1947
+ "epoch": 0.6541778174249182,
1948
+ "grad_norm": 0.5341079235076904,
1949
+ "learning_rate": 3.5766423357664236e-05,
1950
+ "loss": 0.5351,
1951
+ "step": 275
1952
+ },
1953
+ {
1954
+ "epoch": 0.656556645851918,
1955
+ "grad_norm": 0.5494990348815918,
1956
+ "learning_rate": 3.552311435523115e-05,
1957
+ "loss": 0.5355,
1958
+ "step": 276
1959
+ },
1960
+ {
1961
+ "epoch": 0.6589354742789176,
1962
+ "grad_norm": 0.5039032697677612,
1963
+ "learning_rate": 3.527980535279806e-05,
1964
+ "loss": 0.388,
1965
+ "step": 277
1966
+ },
1967
+ {
1968
+ "epoch": 0.6613143027059173,
1969
+ "grad_norm": 0.543323278427124,
1970
+ "learning_rate": 3.5036496350364965e-05,
1971
+ "loss": 0.5407,
1972
+ "step": 278
1973
+ },
1974
+ {
1975
+ "epoch": 0.6636931311329171,
1976
+ "grad_norm": 0.5307977795600891,
1977
+ "learning_rate": 3.479318734793188e-05,
1978
+ "loss": 0.4416,
1979
+ "step": 279
1980
+ },
1981
+ {
1982
+ "epoch": 0.6660719595599167,
1983
+ "grad_norm": 0.5810051560401917,
1984
+ "learning_rate": 3.454987834549879e-05,
1985
+ "loss": 0.4984,
1986
+ "step": 280
1987
+ },
1988
+ {
1989
+ "epoch": 0.6684507879869165,
1990
+ "grad_norm": 0.5557127594947815,
1991
+ "learning_rate": 3.43065693430657e-05,
1992
+ "loss": 0.4426,
1993
+ "step": 281
1994
+ },
1995
+ {
1996
+ "epoch": 0.6708296164139161,
1997
+ "grad_norm": 0.49247419834136963,
1998
+ "learning_rate": 3.40632603406326e-05,
1999
+ "loss": 0.4353,
2000
+ "step": 282
2001
+ },
2002
+ {
2003
+ "epoch": 0.6732084448409158,
2004
+ "grad_norm": 0.5093483328819275,
2005
+ "learning_rate": 3.381995133819951e-05,
2006
+ "loss": 0.4141,
2007
+ "step": 283
2008
+ },
2009
+ {
2010
+ "epoch": 0.6755872732679156,
2011
+ "grad_norm": 0.5625473856925964,
2012
+ "learning_rate": 3.357664233576642e-05,
2013
+ "loss": 0.5592,
2014
+ "step": 284
2015
+ },
2016
+ {
2017
+ "epoch": 0.6779661016949152,
2018
+ "grad_norm": 0.47916609048843384,
2019
+ "learning_rate": 3.3333333333333335e-05,
2020
+ "loss": 0.4519,
2021
+ "step": 285
2022
+ },
2023
+ {
2024
+ "epoch": 0.680344930121915,
2025
+ "grad_norm": 0.514183759689331,
2026
+ "learning_rate": 3.309002433090024e-05,
2027
+ "loss": 0.3704,
2028
+ "step": 286
2029
+ },
2030
+ {
2031
+ "epoch": 0.6827237585489146,
2032
+ "grad_norm": 0.5638673305511475,
2033
+ "learning_rate": 3.284671532846715e-05,
2034
+ "loss": 0.4813,
2035
+ "step": 287
2036
+ },
2037
+ {
2038
+ "epoch": 0.6851025869759143,
2039
+ "grad_norm": 0.436166375875473,
2040
+ "learning_rate": 3.2603406326034064e-05,
2041
+ "loss": 0.4546,
2042
+ "step": 288
2043
+ },
2044
+ {
2045
+ "epoch": 0.6874814154029141,
2046
+ "grad_norm": 0.5311592221260071,
2047
+ "learning_rate": 3.2360097323600976e-05,
2048
+ "loss": 0.4948,
2049
+ "step": 289
2050
+ },
2051
+ {
2052
+ "epoch": 0.6898602438299137,
2053
+ "grad_norm": 0.5682978630065918,
2054
+ "learning_rate": 3.211678832116788e-05,
2055
+ "loss": 0.4595,
2056
+ "step": 290
2057
+ },
2058
+ {
2059
+ "epoch": 0.6922390722569135,
2060
+ "grad_norm": 0.5363884568214417,
2061
+ "learning_rate": 3.187347931873479e-05,
2062
+ "loss": 0.3572,
2063
+ "step": 291
2064
+ },
2065
+ {
2066
+ "epoch": 0.6946179006839132,
2067
+ "grad_norm": 0.517888069152832,
2068
+ "learning_rate": 3.1630170316301705e-05,
2069
+ "loss": 0.3949,
2070
+ "step": 292
2071
+ },
2072
+ {
2073
+ "epoch": 0.6969967291109129,
2074
+ "grad_norm": 0.5211926698684692,
2075
+ "learning_rate": 3.138686131386862e-05,
2076
+ "loss": 0.4904,
2077
+ "step": 293
2078
+ },
2079
+ {
2080
+ "epoch": 0.6993755575379126,
2081
+ "grad_norm": 0.5304282903671265,
2082
+ "learning_rate": 3.114355231143552e-05,
2083
+ "loss": 0.4632,
2084
+ "step": 294
2085
+ },
2086
+ {
2087
+ "epoch": 0.7017543859649122,
2088
+ "grad_norm": 0.4735037386417389,
2089
+ "learning_rate": 3.0900243309002434e-05,
2090
+ "loss": 0.4002,
2091
+ "step": 295
2092
+ },
2093
+ {
2094
+ "epoch": 0.704133214391912,
2095
+ "grad_norm": 0.5239513516426086,
2096
+ "learning_rate": 3.0656934306569346e-05,
2097
+ "loss": 0.4758,
2098
+ "step": 296
2099
+ },
2100
+ {
2101
+ "epoch": 0.7065120428189117,
2102
+ "grad_norm": 0.5408491492271423,
2103
+ "learning_rate": 3.0413625304136255e-05,
2104
+ "loss": 0.4993,
2105
+ "step": 297
2106
+ },
2107
+ {
2108
+ "epoch": 0.7088908712459114,
2109
+ "grad_norm": 0.6086730360984802,
2110
+ "learning_rate": 3.0170316301703166e-05,
2111
+ "loss": 0.5048,
2112
+ "step": 298
2113
+ },
2114
+ {
2115
+ "epoch": 0.7112696996729111,
2116
+ "grad_norm": 0.4720120131969452,
2117
+ "learning_rate": 2.992700729927008e-05,
2118
+ "loss": 0.4215,
2119
+ "step": 299
2120
+ },
2121
+ {
2122
+ "epoch": 0.7136485280999108,
2123
+ "grad_norm": 0.5266088843345642,
2124
+ "learning_rate": 2.9683698296836987e-05,
2125
+ "loss": 0.4553,
2126
+ "step": 300
2127
+ },
2128
+ {
2129
+ "epoch": 0.7136485280999108,
2130
+ "eval_loss": 0.42479127645492554,
2131
+ "eval_runtime": 24.6017,
2132
+ "eval_samples_per_second": 30.404,
2133
+ "eval_steps_per_second": 15.202,
2134
+ "step": 300
2135
+ },
2136
+ {
2137
+ "epoch": 0.7160273565269105,
2138
+ "grad_norm": 0.5402945280075073,
2139
+ "learning_rate": 2.9440389294403892e-05,
2140
+ "loss": 0.4477,
2141
+ "step": 301
2142
+ },
2143
+ {
2144
+ "epoch": 0.7184061849539102,
2145
+ "grad_norm": 0.5225419402122498,
2146
+ "learning_rate": 2.91970802919708e-05,
2147
+ "loss": 0.4112,
2148
+ "step": 302
2149
+ },
2150
+ {
2151
+ "epoch": 0.72078501338091,
2152
+ "grad_norm": 0.516687273979187,
2153
+ "learning_rate": 2.8953771289537713e-05,
2154
+ "loss": 0.51,
2155
+ "step": 303
2156
+ },
2157
+ {
2158
+ "epoch": 0.7231638418079096,
2159
+ "grad_norm": 0.5380510091781616,
2160
+ "learning_rate": 2.871046228710462e-05,
2161
+ "loss": 0.3956,
2162
+ "step": 304
2163
+ },
2164
+ {
2165
+ "epoch": 0.7255426702349093,
2166
+ "grad_norm": 0.5149944424629211,
2167
+ "learning_rate": 2.8467153284671533e-05,
2168
+ "loss": 0.4596,
2169
+ "step": 305
2170
+ },
2171
+ {
2172
+ "epoch": 0.727921498661909,
2173
+ "grad_norm": 0.5109550356864929,
2174
+ "learning_rate": 2.822384428223844e-05,
2175
+ "loss": 0.4538,
2176
+ "step": 306
2177
+ },
2178
+ {
2179
+ "epoch": 0.7303003270889087,
2180
+ "grad_norm": 0.4751725196838379,
2181
+ "learning_rate": 2.7980535279805354e-05,
2182
+ "loss": 0.3858,
2183
+ "step": 307
2184
+ },
2185
+ {
2186
+ "epoch": 0.7326791555159085,
2187
+ "grad_norm": 0.5320805907249451,
2188
+ "learning_rate": 2.7737226277372262e-05,
2189
+ "loss": 0.4388,
2190
+ "step": 308
2191
+ },
2192
+ {
2193
+ "epoch": 0.7350579839429081,
2194
+ "grad_norm": 0.4881283938884735,
2195
+ "learning_rate": 2.7493917274939174e-05,
2196
+ "loss": 0.3787,
2197
+ "step": 309
2198
+ },
2199
+ {
2200
+ "epoch": 0.7374368123699078,
2201
+ "grad_norm": 0.5177855491638184,
2202
+ "learning_rate": 2.7250608272506083e-05,
2203
+ "loss": 0.4489,
2204
+ "step": 310
2205
+ },
2206
+ {
2207
+ "epoch": 0.7398156407969075,
2208
+ "grad_norm": 0.4821816682815552,
2209
+ "learning_rate": 2.7007299270072995e-05,
2210
+ "loss": 0.4178,
2211
+ "step": 311
2212
+ },
2213
+ {
2214
+ "epoch": 0.7421944692239072,
2215
+ "grad_norm": 0.5222703218460083,
2216
+ "learning_rate": 2.6763990267639903e-05,
2217
+ "loss": 0.3892,
2218
+ "step": 312
2219
+ },
2220
+ {
2221
+ "epoch": 0.744573297650907,
2222
+ "grad_norm": 0.554428219795227,
2223
+ "learning_rate": 2.6520681265206815e-05,
2224
+ "loss": 0.425,
2225
+ "step": 313
2226
+ },
2227
+ {
2228
+ "epoch": 0.7469521260779066,
2229
+ "grad_norm": 0.47558993101119995,
2230
+ "learning_rate": 2.6277372262773724e-05,
2231
+ "loss": 0.4414,
2232
+ "step": 314
2233
+ },
2234
+ {
2235
+ "epoch": 0.7493309545049064,
2236
+ "grad_norm": 0.5236990451812744,
2237
+ "learning_rate": 2.6034063260340636e-05,
2238
+ "loss": 0.4194,
2239
+ "step": 315
2240
+ },
2241
+ {
2242
+ "epoch": 0.751709782931906,
2243
+ "grad_norm": 0.5379797220230103,
2244
+ "learning_rate": 2.5790754257907544e-05,
2245
+ "loss": 0.4434,
2246
+ "step": 316
2247
+ },
2248
+ {
2249
+ "epoch": 0.7540886113589057,
2250
+ "grad_norm": 0.7105163931846619,
2251
+ "learning_rate": 2.5547445255474456e-05,
2252
+ "loss": 0.6032,
2253
+ "step": 317
2254
+ },
2255
+ {
2256
+ "epoch": 0.7564674397859055,
2257
+ "grad_norm": 0.5832124352455139,
2258
+ "learning_rate": 2.5304136253041365e-05,
2259
+ "loss": 0.5152,
2260
+ "step": 318
2261
+ },
2262
+ {
2263
+ "epoch": 0.7588462682129051,
2264
+ "grad_norm": 0.5089643597602844,
2265
+ "learning_rate": 2.5060827250608277e-05,
2266
+ "loss": 0.4333,
2267
+ "step": 319
2268
+ },
2269
+ {
2270
+ "epoch": 0.7612250966399049,
2271
+ "grad_norm": 0.509891152381897,
2272
+ "learning_rate": 2.4817518248175185e-05,
2273
+ "loss": 0.4357,
2274
+ "step": 320
2275
+ },
2276
+ {
2277
+ "epoch": 0.7636039250669046,
2278
+ "grad_norm": 0.6722425222396851,
2279
+ "learning_rate": 2.4574209245742094e-05,
2280
+ "loss": 0.5146,
2281
+ "step": 321
2282
+ },
2283
+ {
2284
+ "epoch": 0.7659827534939042,
2285
+ "grad_norm": 0.5415557622909546,
2286
+ "learning_rate": 2.4330900243309006e-05,
2287
+ "loss": 0.5069,
2288
+ "step": 322
2289
+ },
2290
+ {
2291
+ "epoch": 0.768361581920904,
2292
+ "grad_norm": 0.4898138642311096,
2293
+ "learning_rate": 2.4087591240875914e-05,
2294
+ "loss": 0.4025,
2295
+ "step": 323
2296
+ },
2297
+ {
2298
+ "epoch": 0.7707404103479036,
2299
+ "grad_norm": 0.47411227226257324,
2300
+ "learning_rate": 2.3844282238442823e-05,
2301
+ "loss": 0.4339,
2302
+ "step": 324
2303
+ },
2304
+ {
2305
+ "epoch": 0.7731192387749034,
2306
+ "grad_norm": 0.5482645034790039,
2307
+ "learning_rate": 2.360097323600973e-05,
2308
+ "loss": 0.4023,
2309
+ "step": 325
2310
+ },
2311
+ {
2312
+ "epoch": 0.7754980672019031,
2313
+ "grad_norm": 0.4828038513660431,
2314
+ "learning_rate": 2.3357664233576643e-05,
2315
+ "loss": 0.4683,
2316
+ "step": 326
2317
+ },
2318
+ {
2319
+ "epoch": 0.7778768956289027,
2320
+ "grad_norm": 0.47106465697288513,
2321
+ "learning_rate": 2.3114355231143552e-05,
2322
+ "loss": 0.3926,
2323
+ "step": 327
2324
+ },
2325
+ {
2326
+ "epoch": 0.7802557240559025,
2327
+ "grad_norm": 0.5016714930534363,
2328
+ "learning_rate": 2.2871046228710464e-05,
2329
+ "loss": 0.3897,
2330
+ "step": 328
2331
+ },
2332
+ {
2333
+ "epoch": 0.7826345524829021,
2334
+ "grad_norm": 0.48692432045936584,
2335
+ "learning_rate": 2.2627737226277372e-05,
2336
+ "loss": 0.4213,
2337
+ "step": 329
2338
+ },
2339
+ {
2340
+ "epoch": 0.7850133809099019,
2341
+ "grad_norm": 0.625466525554657,
2342
+ "learning_rate": 2.2384428223844284e-05,
2343
+ "loss": 0.4761,
2344
+ "step": 330
2345
+ },
2346
+ {
2347
+ "epoch": 0.7873922093369016,
2348
+ "grad_norm": 0.5269051194190979,
2349
+ "learning_rate": 2.2141119221411193e-05,
2350
+ "loss": 0.4216,
2351
+ "step": 331
2352
+ },
2353
+ {
2354
+ "epoch": 0.7897710377639012,
2355
+ "grad_norm": 0.6055566072463989,
2356
+ "learning_rate": 2.1897810218978105e-05,
2357
+ "loss": 0.5351,
2358
+ "step": 332
2359
+ },
2360
+ {
2361
+ "epoch": 0.792149866190901,
2362
+ "grad_norm": 0.5403903126716614,
2363
+ "learning_rate": 2.1654501216545013e-05,
2364
+ "loss": 0.4028,
2365
+ "step": 333
2366
+ },
2367
+ {
2368
+ "epoch": 0.7945286946179007,
2369
+ "grad_norm": 0.6619285941123962,
2370
+ "learning_rate": 2.1411192214111922e-05,
2371
+ "loss": 0.4291,
2372
+ "step": 334
2373
+ },
2374
+ {
2375
+ "epoch": 0.7969075230449004,
2376
+ "grad_norm": 0.48977240920066833,
2377
+ "learning_rate": 2.1167883211678834e-05,
2378
+ "loss": 0.4171,
2379
+ "step": 335
2380
+ },
2381
+ {
2382
+ "epoch": 0.7992863514719001,
2383
+ "grad_norm": 0.5986789464950562,
2384
+ "learning_rate": 2.0924574209245742e-05,
2385
+ "loss": 0.3742,
2386
+ "step": 336
2387
+ },
2388
+ {
2389
+ "epoch": 0.8016651798988997,
2390
+ "grad_norm": 0.5153005719184875,
2391
+ "learning_rate": 2.0681265206812654e-05,
2392
+ "loss": 0.4147,
2393
+ "step": 337
2394
+ },
2395
+ {
2396
+ "epoch": 0.8040440083258995,
2397
+ "grad_norm": 0.5173148512840271,
2398
+ "learning_rate": 2.0437956204379563e-05,
2399
+ "loss": 0.4648,
2400
+ "step": 338
2401
+ },
2402
+ {
2403
+ "epoch": 0.8064228367528992,
2404
+ "grad_norm": 0.5250167846679688,
2405
+ "learning_rate": 2.0194647201946475e-05,
2406
+ "loss": 0.4919,
2407
+ "step": 339
2408
+ },
2409
+ {
2410
+ "epoch": 0.8088016651798989,
2411
+ "grad_norm": 0.5532633066177368,
2412
+ "learning_rate": 1.9951338199513383e-05,
2413
+ "loss": 0.3462,
2414
+ "step": 340
2415
+ },
2416
+ {
2417
+ "epoch": 0.8111804936068986,
2418
+ "grad_norm": 0.4855538308620453,
2419
+ "learning_rate": 1.9708029197080295e-05,
2420
+ "loss": 0.4902,
2421
+ "step": 341
2422
+ },
2423
+ {
2424
+ "epoch": 0.8135593220338984,
2425
+ "grad_norm": 0.597204864025116,
2426
+ "learning_rate": 1.9464720194647204e-05,
2427
+ "loss": 0.4741,
2428
+ "step": 342
2429
+ },
2430
+ {
2431
+ "epoch": 0.815938150460898,
2432
+ "grad_norm": 0.5064167380332947,
2433
+ "learning_rate": 1.9221411192214112e-05,
2434
+ "loss": 0.4488,
2435
+ "step": 343
2436
+ },
2437
+ {
2438
+ "epoch": 0.8183169788878977,
2439
+ "grad_norm": 0.5640056133270264,
2440
+ "learning_rate": 1.897810218978102e-05,
2441
+ "loss": 0.4408,
2442
+ "step": 344
2443
+ },
2444
+ {
2445
+ "epoch": 0.8206958073148974,
2446
+ "grad_norm": 0.5452293753623962,
2447
+ "learning_rate": 1.8734793187347933e-05,
2448
+ "loss": 0.4406,
2449
+ "step": 345
2450
+ },
2451
+ {
2452
+ "epoch": 0.8230746357418971,
2453
+ "grad_norm": 0.5527360439300537,
2454
+ "learning_rate": 1.849148418491484e-05,
2455
+ "loss": 0.432,
2456
+ "step": 346
2457
+ },
2458
+ {
2459
+ "epoch": 0.8254534641688969,
2460
+ "grad_norm": 0.5353720784187317,
2461
+ "learning_rate": 1.8248175182481753e-05,
2462
+ "loss": 0.4195,
2463
+ "step": 347
2464
+ },
2465
+ {
2466
+ "epoch": 0.8278322925958965,
2467
+ "grad_norm": 0.4622812569141388,
2468
+ "learning_rate": 1.8004866180048662e-05,
2469
+ "loss": 0.4146,
2470
+ "step": 348
2471
+ },
2472
+ {
2473
+ "epoch": 0.8302111210228962,
2474
+ "grad_norm": 0.5472270250320435,
2475
+ "learning_rate": 1.7761557177615574e-05,
2476
+ "loss": 0.4521,
2477
+ "step": 349
2478
+ },
2479
+ {
2480
+ "epoch": 0.832589949449896,
2481
+ "grad_norm": 0.5854270458221436,
2482
+ "learning_rate": 1.7518248175182482e-05,
2483
+ "loss": 0.3974,
2484
+ "step": 350
2485
+ },
2486
+ {
2487
+ "epoch": 0.8349687778768956,
2488
+ "grad_norm": 0.4779118597507477,
2489
+ "learning_rate": 1.7274939172749394e-05,
2490
+ "loss": 0.3683,
2491
+ "step": 351
2492
+ },
2493
+ {
2494
+ "epoch": 0.8373476063038954,
2495
+ "grad_norm": 0.5334904789924622,
2496
+ "learning_rate": 1.70316301703163e-05,
2497
+ "loss": 0.4319,
2498
+ "step": 352
2499
+ },
2500
+ {
2501
+ "epoch": 0.839726434730895,
2502
+ "grad_norm": 0.49920886754989624,
2503
+ "learning_rate": 1.678832116788321e-05,
2504
+ "loss": 0.4115,
2505
+ "step": 353
2506
+ },
2507
+ {
2508
+ "epoch": 0.8421052631578947,
2509
+ "grad_norm": 0.6039828658103943,
2510
+ "learning_rate": 1.654501216545012e-05,
2511
+ "loss": 0.4133,
2512
+ "step": 354
2513
+ },
2514
+ {
2515
+ "epoch": 0.8444840915848945,
2516
+ "grad_norm": 0.5769008994102478,
2517
+ "learning_rate": 1.6301703163017032e-05,
2518
+ "loss": 0.4316,
2519
+ "step": 355
2520
+ },
2521
+ {
2522
+ "epoch": 0.8468629200118941,
2523
+ "grad_norm": 0.5622073411941528,
2524
+ "learning_rate": 1.605839416058394e-05,
2525
+ "loss": 0.5002,
2526
+ "step": 356
2527
+ },
2528
+ {
2529
+ "epoch": 0.8492417484388939,
2530
+ "grad_norm": 0.5158018469810486,
2531
+ "learning_rate": 1.5815085158150852e-05,
2532
+ "loss": 0.3537,
2533
+ "step": 357
2534
+ },
2535
+ {
2536
+ "epoch": 0.8516205768658935,
2537
+ "grad_norm": 0.5640501379966736,
2538
+ "learning_rate": 1.557177615571776e-05,
2539
+ "loss": 0.5049,
2540
+ "step": 358
2541
+ },
2542
+ {
2543
+ "epoch": 0.8539994052928932,
2544
+ "grad_norm": 0.5024840831756592,
2545
+ "learning_rate": 1.5328467153284673e-05,
2546
+ "loss": 0.4185,
2547
+ "step": 359
2548
+ },
2549
+ {
2550
+ "epoch": 0.856378233719893,
2551
+ "grad_norm": 0.5789101123809814,
2552
+ "learning_rate": 1.5085158150851583e-05,
2553
+ "loss": 0.4016,
2554
+ "step": 360
2555
+ },
2556
+ {
2557
+ "epoch": 0.8587570621468926,
2558
+ "grad_norm": 0.5746119022369385,
2559
+ "learning_rate": 1.4841849148418493e-05,
2560
+ "loss": 0.4421,
2561
+ "step": 361
2562
+ },
2563
+ {
2564
+ "epoch": 0.8611358905738924,
2565
+ "grad_norm": 0.5970929861068726,
2566
+ "learning_rate": 1.45985401459854e-05,
2567
+ "loss": 0.5766,
2568
+ "step": 362
2569
+ },
2570
+ {
2571
+ "epoch": 0.863514719000892,
2572
+ "grad_norm": 0.5322396755218506,
2573
+ "learning_rate": 1.435523114355231e-05,
2574
+ "loss": 0.4418,
2575
+ "step": 363
2576
+ },
2577
+ {
2578
+ "epoch": 0.8658935474278918,
2579
+ "grad_norm": 0.5240874886512756,
2580
+ "learning_rate": 1.411192214111922e-05,
2581
+ "loss": 0.461,
2582
+ "step": 364
2583
+ },
2584
+ {
2585
+ "epoch": 0.8682723758548915,
2586
+ "grad_norm": 0.6501151919364929,
2587
+ "learning_rate": 1.3868613138686131e-05,
2588
+ "loss": 0.3628,
2589
+ "step": 365
2590
+ },
2591
+ {
2592
+ "epoch": 0.8706512042818911,
2593
+ "grad_norm": 0.5303117036819458,
2594
+ "learning_rate": 1.3625304136253041e-05,
2595
+ "loss": 0.441,
2596
+ "step": 366
2597
+ },
2598
+ {
2599
+ "epoch": 0.8730300327088909,
2600
+ "grad_norm": 0.48986294865608215,
2601
+ "learning_rate": 1.3381995133819952e-05,
2602
+ "loss": 0.4371,
2603
+ "step": 367
2604
+ },
2605
+ {
2606
+ "epoch": 0.8754088611358906,
2607
+ "grad_norm": 0.5813177824020386,
2608
+ "learning_rate": 1.3138686131386862e-05,
2609
+ "loss": 0.4787,
2610
+ "step": 368
2611
+ },
2612
+ {
2613
+ "epoch": 0.8777876895628903,
2614
+ "grad_norm": 0.5057734251022339,
2615
+ "learning_rate": 1.2895377128953772e-05,
2616
+ "loss": 0.3852,
2617
+ "step": 369
2618
+ },
2619
+ {
2620
+ "epoch": 0.88016651798989,
2621
+ "grad_norm": 0.5309827923774719,
2622
+ "learning_rate": 1.2652068126520682e-05,
2623
+ "loss": 0.4518,
2624
+ "step": 370
2625
+ },
2626
+ {
2627
+ "epoch": 0.8825453464168896,
2628
+ "grad_norm": 0.5106115341186523,
2629
+ "learning_rate": 1.2408759124087593e-05,
2630
+ "loss": 0.414,
2631
+ "step": 371
2632
+ },
2633
+ {
2634
+ "epoch": 0.8849241748438894,
2635
+ "grad_norm": 0.6071767210960388,
2636
+ "learning_rate": 1.2165450121654503e-05,
2637
+ "loss": 0.4988,
2638
+ "step": 372
2639
+ },
2640
+ {
2641
+ "epoch": 0.8873030032708891,
2642
+ "grad_norm": 0.5328472852706909,
2643
+ "learning_rate": 1.1922141119221411e-05,
2644
+ "loss": 0.5115,
2645
+ "step": 373
2646
+ },
2647
+ {
2648
+ "epoch": 0.8896818316978888,
2649
+ "grad_norm": 0.4671655595302582,
2650
+ "learning_rate": 1.1678832116788322e-05,
2651
+ "loss": 0.3692,
2652
+ "step": 374
2653
+ },
2654
+ {
2655
+ "epoch": 0.8920606601248885,
2656
+ "grad_norm": 0.5364991426467896,
2657
+ "learning_rate": 1.1435523114355232e-05,
2658
+ "loss": 0.369,
2659
+ "step": 375
2660
+ },
2661
+ {
2662
+ "epoch": 0.8944394885518882,
2663
+ "grad_norm": 0.5912413597106934,
2664
+ "learning_rate": 1.1192214111922142e-05,
2665
+ "loss": 0.4404,
2666
+ "step": 376
2667
+ },
2668
+ {
2669
+ "epoch": 0.8968183169788879,
2670
+ "grad_norm": 0.54830402135849,
2671
+ "learning_rate": 1.0948905109489052e-05,
2672
+ "loss": 0.3858,
2673
+ "step": 377
2674
+ },
2675
+ {
2676
+ "epoch": 0.8991971454058876,
2677
+ "grad_norm": 0.5137721300125122,
2678
+ "learning_rate": 1.0705596107055961e-05,
2679
+ "loss": 0.3976,
2680
+ "step": 378
2681
+ },
2682
+ {
2683
+ "epoch": 0.9015759738328873,
2684
+ "grad_norm": 0.5718546509742737,
2685
+ "learning_rate": 1.0462287104622871e-05,
2686
+ "loss": 0.4714,
2687
+ "step": 379
2688
+ },
2689
+ {
2690
+ "epoch": 0.903954802259887,
2691
+ "grad_norm": 0.5441231727600098,
2692
+ "learning_rate": 1.0218978102189781e-05,
2693
+ "loss": 0.4706,
2694
+ "step": 380
2695
+ },
2696
+ {
2697
+ "epoch": 0.9063336306868867,
2698
+ "grad_norm": 0.5782937407493591,
2699
+ "learning_rate": 9.975669099756692e-06,
2700
+ "loss": 0.4758,
2701
+ "step": 381
2702
+ },
2703
+ {
2704
+ "epoch": 0.9087124591138864,
2705
+ "grad_norm": 0.5077878832817078,
2706
+ "learning_rate": 9.732360097323602e-06,
2707
+ "loss": 0.4739,
2708
+ "step": 382
2709
+ },
2710
+ {
2711
+ "epoch": 0.9110912875408861,
2712
+ "grad_norm": 0.5690765380859375,
2713
+ "learning_rate": 9.48905109489051e-06,
2714
+ "loss": 0.3926,
2715
+ "step": 383
2716
+ },
2717
+ {
2718
+ "epoch": 0.9134701159678859,
2719
+ "grad_norm": 0.5629989504814148,
2720
+ "learning_rate": 9.24574209245742e-06,
2721
+ "loss": 0.4728,
2722
+ "step": 384
2723
+ },
2724
+ {
2725
+ "epoch": 0.9158489443948855,
2726
+ "grad_norm": 0.46644964814186096,
2727
+ "learning_rate": 9.002433090024331e-06,
2728
+ "loss": 0.3798,
2729
+ "step": 385
2730
+ },
2731
+ {
2732
+ "epoch": 0.9182277728218852,
2733
+ "grad_norm": 0.5197304487228394,
2734
+ "learning_rate": 8.759124087591241e-06,
2735
+ "loss": 0.4181,
2736
+ "step": 386
2737
+ },
2738
+ {
2739
+ "epoch": 0.9206066012488849,
2740
+ "grad_norm": 0.5880502462387085,
2741
+ "learning_rate": 8.51581508515815e-06,
2742
+ "loss": 0.5106,
2743
+ "step": 387
2744
+ },
2745
+ {
2746
+ "epoch": 0.9229854296758846,
2747
+ "grad_norm": 0.6154156923294067,
2748
+ "learning_rate": 8.27250608272506e-06,
2749
+ "loss": 0.4669,
2750
+ "step": 388
2751
+ },
2752
+ {
2753
+ "epoch": 0.9253642581028844,
2754
+ "grad_norm": 0.604262113571167,
2755
+ "learning_rate": 8.02919708029197e-06,
2756
+ "loss": 0.451,
2757
+ "step": 389
2758
+ },
2759
+ {
2760
+ "epoch": 0.927743086529884,
2761
+ "grad_norm": 0.5451841354370117,
2762
+ "learning_rate": 7.78588807785888e-06,
2763
+ "loss": 0.4477,
2764
+ "step": 390
2765
+ },
2766
+ {
2767
+ "epoch": 0.9301219149568838,
2768
+ "grad_norm": 0.6219511032104492,
2769
+ "learning_rate": 7.542579075425792e-06,
2770
+ "loss": 0.4633,
2771
+ "step": 391
2772
+ },
2773
+ {
2774
+ "epoch": 0.9325007433838834,
2775
+ "grad_norm": 0.5371522903442383,
2776
+ "learning_rate": 7.2992700729927e-06,
2777
+ "loss": 0.4109,
2778
+ "step": 392
2779
+ },
2780
+ {
2781
+ "epoch": 0.9348795718108831,
2782
+ "grad_norm": 0.5737317800521851,
2783
+ "learning_rate": 7.05596107055961e-06,
2784
+ "loss": 0.434,
2785
+ "step": 393
2786
+ },
2787
+ {
2788
+ "epoch": 0.9372584002378829,
2789
+ "grad_norm": 0.6237983703613281,
2790
+ "learning_rate": 6.812652068126521e-06,
2791
+ "loss": 0.4657,
2792
+ "step": 394
2793
+ },
2794
+ {
2795
+ "epoch": 0.9396372286648825,
2796
+ "grad_norm": 0.5219160914421082,
2797
+ "learning_rate": 6.569343065693431e-06,
2798
+ "loss": 0.3983,
2799
+ "step": 395
2800
+ },
2801
+ {
2802
+ "epoch": 0.9420160570918823,
2803
+ "grad_norm": 0.5657615661621094,
2804
+ "learning_rate": 6.326034063260341e-06,
2805
+ "loss": 0.3901,
2806
+ "step": 396
2807
+ },
2808
+ {
2809
+ "epoch": 0.944394885518882,
2810
+ "grad_norm": 0.6130802035331726,
2811
+ "learning_rate": 6.082725060827251e-06,
2812
+ "loss": 0.4844,
2813
+ "step": 397
2814
+ },
2815
+ {
2816
+ "epoch": 0.9467737139458816,
2817
+ "grad_norm": 0.6125937104225159,
2818
+ "learning_rate": 5.839416058394161e-06,
2819
+ "loss": 0.4312,
2820
+ "step": 398
2821
+ },
2822
+ {
2823
+ "epoch": 0.9491525423728814,
2824
+ "grad_norm": 0.5268482565879822,
2825
+ "learning_rate": 5.596107055961071e-06,
2826
+ "loss": 0.3764,
2827
+ "step": 399
2828
+ },
2829
+ {
2830
+ "epoch": 0.951531370799881,
2831
+ "grad_norm": 0.601588785648346,
2832
+ "learning_rate": 5.3527980535279805e-06,
2833
+ "loss": 0.429,
2834
+ "step": 400
2835
+ },
2836
+ {
2837
+ "epoch": 0.951531370799881,
2838
+ "eval_loss": 0.4152432680130005,
2839
+ "eval_runtime": 24.6197,
2840
+ "eval_samples_per_second": 30.382,
2841
+ "eval_steps_per_second": 15.191,
2842
+ "step": 400
2843
+ },
2844
+ {
2845
+ "epoch": 0.9539101992268808,
2846
+ "grad_norm": 0.6177543997764587,
2847
+ "learning_rate": 5.109489051094891e-06,
2848
+ "loss": 0.4553,
2849
+ "step": 401
2850
+ },
2851
+ {
2852
+ "epoch": 0.9562890276538805,
2853
+ "grad_norm": 0.5756453275680542,
2854
+ "learning_rate": 4.866180048661801e-06,
2855
+ "loss": 0.4026,
2856
+ "step": 402
2857
+ },
2858
+ {
2859
+ "epoch": 0.9586678560808801,
2860
+ "grad_norm": 0.575804591178894,
2861
+ "learning_rate": 4.62287104622871e-06,
2862
+ "loss": 0.4351,
2863
+ "step": 403
2864
+ },
2865
+ {
2866
+ "epoch": 0.9610466845078799,
2867
+ "grad_norm": 0.5242466926574707,
2868
+ "learning_rate": 4.379562043795621e-06,
2869
+ "loss": 0.4606,
2870
+ "step": 404
2871
+ },
2872
+ {
2873
+ "epoch": 0.9634255129348795,
2874
+ "grad_norm": 0.5496498346328735,
2875
+ "learning_rate": 4.13625304136253e-06,
2876
+ "loss": 0.5175,
2877
+ "step": 405
2878
+ },
2879
+ {
2880
+ "epoch": 0.9658043413618793,
2881
+ "grad_norm": 0.5221502184867859,
2882
+ "learning_rate": 3.89294403892944e-06,
2883
+ "loss": 0.3652,
2884
+ "step": 406
2885
+ },
2886
+ {
2887
+ "epoch": 0.968183169788879,
2888
+ "grad_norm": 0.5580674409866333,
2889
+ "learning_rate": 3.64963503649635e-06,
2890
+ "loss": 0.3914,
2891
+ "step": 407
2892
+ },
2893
+ {
2894
+ "epoch": 0.9705619982158786,
2895
+ "grad_norm": 0.5373774170875549,
2896
+ "learning_rate": 3.4063260340632603e-06,
2897
+ "loss": 0.399,
2898
+ "step": 408
2899
+ },
2900
+ {
2901
+ "epoch": 0.9729408266428784,
2902
+ "grad_norm": 0.44664666056632996,
2903
+ "learning_rate": 3.1630170316301706e-06,
2904
+ "loss": 0.3659,
2905
+ "step": 409
2906
+ },
2907
+ {
2908
+ "epoch": 0.975319655069878,
2909
+ "grad_norm": 0.5495840311050415,
2910
+ "learning_rate": 2.9197080291970804e-06,
2911
+ "loss": 0.4548,
2912
+ "step": 410
2913
+ },
2914
+ {
2915
+ "epoch": 0.9776984834968778,
2916
+ "grad_norm": 0.6554842591285706,
2917
+ "learning_rate": 2.6763990267639902e-06,
2918
+ "loss": 0.3963,
2919
+ "step": 411
2920
+ },
2921
+ {
2922
+ "epoch": 0.9800773119238775,
2923
+ "grad_norm": 0.5366389155387878,
2924
+ "learning_rate": 2.4330900243309005e-06,
2925
+ "loss": 0.391,
2926
+ "step": 412
2927
+ },
2928
+ {
2929
+ "epoch": 0.9824561403508771,
2930
+ "grad_norm": 0.5802214741706848,
2931
+ "learning_rate": 2.1897810218978103e-06,
2932
+ "loss": 0.4397,
2933
+ "step": 413
2934
+ },
2935
+ {
2936
+ "epoch": 0.9848349687778769,
2937
+ "grad_norm": 0.5553064942359924,
2938
+ "learning_rate": 1.94647201946472e-06,
2939
+ "loss": 0.384,
2940
+ "step": 414
2941
+ },
2942
+ {
2943
+ "epoch": 0.9872137972048766,
2944
+ "grad_norm": 0.5031337141990662,
2945
+ "learning_rate": 1.7031630170316302e-06,
2946
+ "loss": 0.3638,
2947
+ "step": 415
2948
+ },
2949
+ {
2950
+ "epoch": 0.9895926256318763,
2951
+ "grad_norm": 0.5195873379707336,
2952
+ "learning_rate": 1.4598540145985402e-06,
2953
+ "loss": 0.4275,
2954
+ "step": 416
2955
+ },
2956
+ {
2957
+ "epoch": 0.991971454058876,
2958
+ "grad_norm": 0.5617223978042603,
2959
+ "learning_rate": 1.2165450121654502e-06,
2960
+ "loss": 0.4383,
2961
+ "step": 417
2962
+ },
2963
+ {
2964
+ "epoch": 0.9943502824858758,
2965
+ "grad_norm": 0.5391303300857544,
2966
+ "learning_rate": 9.7323600973236e-07,
2967
+ "loss": 0.5038,
2968
+ "step": 418
2969
+ },
2970
+ {
2971
+ "epoch": 0.9967291109128754,
2972
+ "grad_norm": 0.5291772484779358,
2973
+ "learning_rate": 7.299270072992701e-07,
2974
+ "loss": 0.4119,
2975
+ "step": 419
2976
+ },
2977
+ {
2978
+ "epoch": 0.9991079393398751,
2979
+ "grad_norm": 0.52870112657547,
2980
+ "learning_rate": 4.8661800486618e-07,
2981
+ "loss": 0.4272,
2982
+ "step": 420
2983
+ },
2984
+ {
2985
+ "epoch": 1.0,
2986
+ "grad_norm": 0.8552002310752869,
2987
+ "learning_rate": 2.4330900243309e-07,
2988
+ "loss": 0.3481,
2989
+ "step": 421
2990
+ }
2991
+ ],
2992
+ "logging_steps": 1,
2993
+ "max_steps": 421,
2994
+ "num_input_tokens_seen": 0,
2995
+ "num_train_epochs": 1,
2996
+ "save_steps": 5000,
2997
+ "stateful_callbacks": {
2998
+ "TrainerControl": {
2999
+ "args": {
3000
+ "should_epoch_stop": false,
3001
+ "should_evaluate": false,
3002
+ "should_log": false,
3003
+ "should_save": true,
3004
+ "should_training_stop": true
3005
+ },
3006
+ "attributes": {}
3007
+ }
3008
+ },
3009
+ "total_flos": 2.4660818389684224e+16,
3010
+ "train_batch_size": 2,
3011
+ "trial_name": null,
3012
+ "trial_params": null
3013
+ }
checkpoint-421/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3cea346405ffc3211213a31cff325c4273150acda4e38ac65756ee0f4bcd2db7
3
+ size 6289