error577 commited on
Commit
eace736
·
verified ·
1 Parent(s): 1564c85

Training in progress, step 200, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: peft-internal-testing/tiny-dummy-qwen2
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.2
last-checkpoint/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "peft-internal-testing/tiny-dummy-qwen2",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 128,
14
+ "lora_dropout": 0.15,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "k_proj",
24
+ "up_proj",
25
+ "down_proj",
26
+ "q_proj",
27
+ "v_proj",
28
+ "gate_proj",
29
+ "o_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:736baa640f3722e930a598dbbb68e9703655497c4823eeaa51af3f2c693b9aa5
3
+ size 93608
last-checkpoint/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
last-checkpoint/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e12a2dc5afa13c884d1b7247712488d04f5dd64cb60e3c082a80e21e26b50139
3
+ size 204490
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db0f7006bd81dea88031525f2d1c00e364e54c17b0cec93729d748c575fbc1ba
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f3f28f82aeb709eb64d828f0f89b23c5240007f7228ccbe6344bff1c4c605ff
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|endoftext|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": {
14
+ "content": "<|endoftext|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ }
20
+ }
last-checkpoint/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
3
+ size 11418266
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ }
28
+ },
29
+ "additional_special_tokens": [
30
+ "<|im_start|>",
31
+ "<|im_end|>"
32
+ ],
33
+ "bos_token": null,
34
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "<|endoftext|>",
37
+ "errors": "replace",
38
+ "model_max_length": 32768,
39
+ "pad_token": "<|endoftext|>",
40
+ "split_special_tokens": false,
41
+ "tokenizer_class": "Qwen2Tokenizer",
42
+ "unk_token": null
43
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,1458 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 11.896341323852539,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-200",
4
+ "epoch": 0.06949723096970355,
5
+ "eval_steps": 200,
6
+ "global_step": 200,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.00034748615484851773,
13
+ "grad_norm": 0.04067136347293854,
14
+ "learning_rate": 2e-05,
15
+ "loss": 11.9295,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.00034748615484851773,
20
+ "eval_loss": 11.929311752319336,
21
+ "eval_runtime": 5.6585,
22
+ "eval_samples_per_second": 81.824,
23
+ "eval_steps_per_second": 41.0,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.0006949723096970355,
28
+ "grad_norm": 0.05847131833434105,
29
+ "learning_rate": 4e-05,
30
+ "loss": 11.9298,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.0010424584645455533,
35
+ "grad_norm": 0.05631808936595917,
36
+ "learning_rate": 6e-05,
37
+ "loss": 11.9326,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.001389944619394071,
42
+ "grad_norm": 0.05090555548667908,
43
+ "learning_rate": 8e-05,
44
+ "loss": 11.9339,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.0017374307742425888,
49
+ "grad_norm": 0.049697574228048325,
50
+ "learning_rate": 0.0001,
51
+ "loss": 11.932,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.0020849169290911066,
56
+ "grad_norm": 0.044688981026411057,
57
+ "learning_rate": 0.00012,
58
+ "loss": 11.9325,
59
+ "step": 6
60
+ },
61
+ {
62
+ "epoch": 0.0024324030839396244,
63
+ "grad_norm": 0.0534210242331028,
64
+ "learning_rate": 0.00014,
65
+ "loss": 11.9287,
66
+ "step": 7
67
+ },
68
+ {
69
+ "epoch": 0.002779889238788142,
70
+ "grad_norm": 0.056100089102983475,
71
+ "learning_rate": 0.00016,
72
+ "loss": 11.9293,
73
+ "step": 8
74
+ },
75
+ {
76
+ "epoch": 0.0031273753936366597,
77
+ "grad_norm": 0.06658384948968887,
78
+ "learning_rate": 0.00018,
79
+ "loss": 11.9276,
80
+ "step": 9
81
+ },
82
+ {
83
+ "epoch": 0.0034748615484851775,
84
+ "grad_norm": 0.053528737276792526,
85
+ "learning_rate": 0.0002,
86
+ "loss": 11.9305,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.0038223477033336953,
91
+ "grad_norm": 0.06357928365468979,
92
+ "learning_rate": 0.0002,
93
+ "loss": 11.9259,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.004169833858182213,
98
+ "grad_norm": 0.08237897604703903,
99
+ "learning_rate": 0.0002,
100
+ "loss": 11.9222,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.004517320013030731,
105
+ "grad_norm": 0.07809571921825409,
106
+ "learning_rate": 0.0002,
107
+ "loss": 11.9249,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.004864806167879249,
112
+ "grad_norm": 0.07673293352127075,
113
+ "learning_rate": 0.0002,
114
+ "loss": 11.927,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.005212292322727767,
119
+ "grad_norm": 0.1059013158082962,
120
+ "learning_rate": 0.0002,
121
+ "loss": 11.9219,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.005559778477576284,
126
+ "grad_norm": 0.09407150000333786,
127
+ "learning_rate": 0.0002,
128
+ "loss": 11.9238,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.0059072646324248015,
133
+ "grad_norm": 0.09048356115818024,
134
+ "learning_rate": 0.0002,
135
+ "loss": 11.9236,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.006254750787273319,
140
+ "grad_norm": 0.12811021506786346,
141
+ "learning_rate": 0.0002,
142
+ "loss": 11.9217,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.006602236942121837,
147
+ "grad_norm": 0.1371372938156128,
148
+ "learning_rate": 0.0002,
149
+ "loss": 11.923,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.006949723096970355,
154
+ "grad_norm": 0.08146680146455765,
155
+ "learning_rate": 0.0002,
156
+ "loss": 11.9152,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.007297209251818873,
161
+ "grad_norm": 0.14644946157932281,
162
+ "learning_rate": 0.0002,
163
+ "loss": 11.9146,
164
+ "step": 21
165
+ },
166
+ {
167
+ "epoch": 0.007644695406667391,
168
+ "grad_norm": 0.1377340853214264,
169
+ "learning_rate": 0.0002,
170
+ "loss": 11.9242,
171
+ "step": 22
172
+ },
173
+ {
174
+ "epoch": 0.007992181561515908,
175
+ "grad_norm": 0.1317903995513916,
176
+ "learning_rate": 0.0002,
177
+ "loss": 11.9195,
178
+ "step": 23
179
+ },
180
+ {
181
+ "epoch": 0.008339667716364426,
182
+ "grad_norm": 0.11776146292686462,
183
+ "learning_rate": 0.0002,
184
+ "loss": 11.916,
185
+ "step": 24
186
+ },
187
+ {
188
+ "epoch": 0.008687153871212943,
189
+ "grad_norm": 0.11727476865053177,
190
+ "learning_rate": 0.0002,
191
+ "loss": 11.9204,
192
+ "step": 25
193
+ },
194
+ {
195
+ "epoch": 0.009034640026061462,
196
+ "grad_norm": 0.13424350321292877,
197
+ "learning_rate": 0.0002,
198
+ "loss": 11.9147,
199
+ "step": 26
200
+ },
201
+ {
202
+ "epoch": 0.009382126180909979,
203
+ "grad_norm": 0.14959082007408142,
204
+ "learning_rate": 0.0002,
205
+ "loss": 11.9114,
206
+ "step": 27
207
+ },
208
+ {
209
+ "epoch": 0.009729612335758498,
210
+ "grad_norm": 0.13855209946632385,
211
+ "learning_rate": 0.0002,
212
+ "loss": 11.909,
213
+ "step": 28
214
+ },
215
+ {
216
+ "epoch": 0.010077098490607015,
217
+ "grad_norm": 0.17048348486423492,
218
+ "learning_rate": 0.0002,
219
+ "loss": 11.9113,
220
+ "step": 29
221
+ },
222
+ {
223
+ "epoch": 0.010424584645455533,
224
+ "grad_norm": 0.15487582981586456,
225
+ "learning_rate": 0.0002,
226
+ "loss": 11.9101,
227
+ "step": 30
228
+ },
229
+ {
230
+ "epoch": 0.01077207080030405,
231
+ "grad_norm": 0.10363022983074188,
232
+ "learning_rate": 0.0002,
233
+ "loss": 11.9089,
234
+ "step": 31
235
+ },
236
+ {
237
+ "epoch": 0.011119556955152567,
238
+ "grad_norm": 0.11492149531841278,
239
+ "learning_rate": 0.0002,
240
+ "loss": 11.912,
241
+ "step": 32
242
+ },
243
+ {
244
+ "epoch": 0.011467043110001086,
245
+ "grad_norm": 0.1704743504524231,
246
+ "learning_rate": 0.0002,
247
+ "loss": 11.9058,
248
+ "step": 33
249
+ },
250
+ {
251
+ "epoch": 0.011814529264849603,
252
+ "grad_norm": 0.14086145162582397,
253
+ "learning_rate": 0.0002,
254
+ "loss": 11.9077,
255
+ "step": 34
256
+ },
257
+ {
258
+ "epoch": 0.012162015419698122,
259
+ "grad_norm": 0.11957251280546188,
260
+ "learning_rate": 0.0002,
261
+ "loss": 11.9045,
262
+ "step": 35
263
+ },
264
+ {
265
+ "epoch": 0.012509501574546639,
266
+ "grad_norm": 0.16046670079231262,
267
+ "learning_rate": 0.0002,
268
+ "loss": 11.9039,
269
+ "step": 36
270
+ },
271
+ {
272
+ "epoch": 0.012856987729395157,
273
+ "grad_norm": 0.11402913928031921,
274
+ "learning_rate": 0.0002,
275
+ "loss": 11.9045,
276
+ "step": 37
277
+ },
278
+ {
279
+ "epoch": 0.013204473884243674,
280
+ "grad_norm": 0.17968516051769257,
281
+ "learning_rate": 0.0002,
282
+ "loss": 11.9053,
283
+ "step": 38
284
+ },
285
+ {
286
+ "epoch": 0.013551960039092193,
287
+ "grad_norm": 0.1486865133047104,
288
+ "learning_rate": 0.0002,
289
+ "loss": 11.9048,
290
+ "step": 39
291
+ },
292
+ {
293
+ "epoch": 0.01389944619394071,
294
+ "grad_norm": 0.131099671125412,
295
+ "learning_rate": 0.0002,
296
+ "loss": 11.9065,
297
+ "step": 40
298
+ },
299
+ {
300
+ "epoch": 0.014246932348789229,
301
+ "grad_norm": 0.11365403234958649,
302
+ "learning_rate": 0.0002,
303
+ "loss": 11.9037,
304
+ "step": 41
305
+ },
306
+ {
307
+ "epoch": 0.014594418503637746,
308
+ "grad_norm": 0.13737356662750244,
309
+ "learning_rate": 0.0002,
310
+ "loss": 11.9012,
311
+ "step": 42
312
+ },
313
+ {
314
+ "epoch": 0.014941904658486263,
315
+ "grad_norm": 0.16882233321666718,
316
+ "learning_rate": 0.0002,
317
+ "loss": 11.9001,
318
+ "step": 43
319
+ },
320
+ {
321
+ "epoch": 0.015289390813334781,
322
+ "grad_norm": 0.18866688013076782,
323
+ "learning_rate": 0.0002,
324
+ "loss": 11.8991,
325
+ "step": 44
326
+ },
327
+ {
328
+ "epoch": 0.0156368769681833,
329
+ "grad_norm": 0.1481046825647354,
330
+ "learning_rate": 0.0002,
331
+ "loss": 11.8946,
332
+ "step": 45
333
+ },
334
+ {
335
+ "epoch": 0.015984363123031815,
336
+ "grad_norm": 0.13945801556110382,
337
+ "learning_rate": 0.0002,
338
+ "loss": 11.8975,
339
+ "step": 46
340
+ },
341
+ {
342
+ "epoch": 0.016331849277880336,
343
+ "grad_norm": 0.10943154990673065,
344
+ "learning_rate": 0.0002,
345
+ "loss": 11.9055,
346
+ "step": 47
347
+ },
348
+ {
349
+ "epoch": 0.016679335432728853,
350
+ "grad_norm": 0.1855332851409912,
351
+ "learning_rate": 0.0002,
352
+ "loss": 11.8954,
353
+ "step": 48
354
+ },
355
+ {
356
+ "epoch": 0.01702682158757737,
357
+ "grad_norm": 0.10684391856193542,
358
+ "learning_rate": 0.0002,
359
+ "loss": 11.8954,
360
+ "step": 49
361
+ },
362
+ {
363
+ "epoch": 0.017374307742425887,
364
+ "grad_norm": 0.22516492009162903,
365
+ "learning_rate": 0.0002,
366
+ "loss": 11.8862,
367
+ "step": 50
368
+ },
369
+ {
370
+ "epoch": 0.017721793897274407,
371
+ "grad_norm": 0.1673273742198944,
372
+ "learning_rate": 0.0002,
373
+ "loss": 11.9068,
374
+ "step": 51
375
+ },
376
+ {
377
+ "epoch": 0.018069280052122924,
378
+ "grad_norm": 0.1681072860956192,
379
+ "learning_rate": 0.0002,
380
+ "loss": 11.9149,
381
+ "step": 52
382
+ },
383
+ {
384
+ "epoch": 0.01841676620697144,
385
+ "grad_norm": 0.1258794218301773,
386
+ "learning_rate": 0.0002,
387
+ "loss": 11.9108,
388
+ "step": 53
389
+ },
390
+ {
391
+ "epoch": 0.018764252361819958,
392
+ "grad_norm": 0.13674084842205048,
393
+ "learning_rate": 0.0002,
394
+ "loss": 11.9084,
395
+ "step": 54
396
+ },
397
+ {
398
+ "epoch": 0.019111738516668475,
399
+ "grad_norm": 0.12113996595144272,
400
+ "learning_rate": 0.0002,
401
+ "loss": 11.9073,
402
+ "step": 55
403
+ },
404
+ {
405
+ "epoch": 0.019459224671516995,
406
+ "grad_norm": 0.12090025097131729,
407
+ "learning_rate": 0.0002,
408
+ "loss": 11.9087,
409
+ "step": 56
410
+ },
411
+ {
412
+ "epoch": 0.019806710826365512,
413
+ "grad_norm": 0.08657988160848618,
414
+ "learning_rate": 0.0002,
415
+ "loss": 11.905,
416
+ "step": 57
417
+ },
418
+ {
419
+ "epoch": 0.02015419698121403,
420
+ "grad_norm": 0.08028563112020493,
421
+ "learning_rate": 0.0002,
422
+ "loss": 11.9088,
423
+ "step": 58
424
+ },
425
+ {
426
+ "epoch": 0.020501683136062546,
427
+ "grad_norm": 0.12597917020320892,
428
+ "learning_rate": 0.0002,
429
+ "loss": 11.9089,
430
+ "step": 59
431
+ },
432
+ {
433
+ "epoch": 0.020849169290911067,
434
+ "grad_norm": 0.09117566794157028,
435
+ "learning_rate": 0.0002,
436
+ "loss": 11.9033,
437
+ "step": 60
438
+ },
439
+ {
440
+ "epoch": 0.021196655445759584,
441
+ "grad_norm": 0.10805974155664444,
442
+ "learning_rate": 0.0002,
443
+ "loss": 11.9059,
444
+ "step": 61
445
+ },
446
+ {
447
+ "epoch": 0.0215441416006081,
448
+ "grad_norm": 0.12225592136383057,
449
+ "learning_rate": 0.0002,
450
+ "loss": 11.9076,
451
+ "step": 62
452
+ },
453
+ {
454
+ "epoch": 0.021891627755456618,
455
+ "grad_norm": 0.11532121896743774,
456
+ "learning_rate": 0.0002,
457
+ "loss": 11.9084,
458
+ "step": 63
459
+ },
460
+ {
461
+ "epoch": 0.022239113910305135,
462
+ "grad_norm": 0.08553722500801086,
463
+ "learning_rate": 0.0002,
464
+ "loss": 11.9034,
465
+ "step": 64
466
+ },
467
+ {
468
+ "epoch": 0.022586600065153655,
469
+ "grad_norm": 0.13607631623744965,
470
+ "learning_rate": 0.0002,
471
+ "loss": 11.903,
472
+ "step": 65
473
+ },
474
+ {
475
+ "epoch": 0.022934086220002172,
476
+ "grad_norm": 0.08986704796552658,
477
+ "learning_rate": 0.0002,
478
+ "loss": 11.9,
479
+ "step": 66
480
+ },
481
+ {
482
+ "epoch": 0.02328157237485069,
483
+ "grad_norm": 0.1001165583729744,
484
+ "learning_rate": 0.0002,
485
+ "loss": 11.8999,
486
+ "step": 67
487
+ },
488
+ {
489
+ "epoch": 0.023629058529699206,
490
+ "grad_norm": 0.10760657489299774,
491
+ "learning_rate": 0.0002,
492
+ "loss": 11.9069,
493
+ "step": 68
494
+ },
495
+ {
496
+ "epoch": 0.023976544684547726,
497
+ "grad_norm": 0.0979250892996788,
498
+ "learning_rate": 0.0002,
499
+ "loss": 11.9009,
500
+ "step": 69
501
+ },
502
+ {
503
+ "epoch": 0.024324030839396243,
504
+ "grad_norm": 0.07693210244178772,
505
+ "learning_rate": 0.0002,
506
+ "loss": 11.9017,
507
+ "step": 70
508
+ },
509
+ {
510
+ "epoch": 0.02467151699424476,
511
+ "grad_norm": 0.0863107293844223,
512
+ "learning_rate": 0.0002,
513
+ "loss": 11.9063,
514
+ "step": 71
515
+ },
516
+ {
517
+ "epoch": 0.025019003149093277,
518
+ "grad_norm": 0.07560084015130997,
519
+ "learning_rate": 0.0002,
520
+ "loss": 11.9063,
521
+ "step": 72
522
+ },
523
+ {
524
+ "epoch": 0.025366489303941794,
525
+ "grad_norm": 0.07246439903974533,
526
+ "learning_rate": 0.0002,
527
+ "loss": 11.8981,
528
+ "step": 73
529
+ },
530
+ {
531
+ "epoch": 0.025713975458790315,
532
+ "grad_norm": 0.0870431438088417,
533
+ "learning_rate": 0.0002,
534
+ "loss": 11.9025,
535
+ "step": 74
536
+ },
537
+ {
538
+ "epoch": 0.026061461613638832,
539
+ "grad_norm": 0.09628752619028091,
540
+ "learning_rate": 0.0002,
541
+ "loss": 11.8998,
542
+ "step": 75
543
+ },
544
+ {
545
+ "epoch": 0.02640894776848735,
546
+ "grad_norm": 0.09739703685045242,
547
+ "learning_rate": 0.0002,
548
+ "loss": 11.8989,
549
+ "step": 76
550
+ },
551
+ {
552
+ "epoch": 0.026756433923335866,
553
+ "grad_norm": 0.07320545613765717,
554
+ "learning_rate": 0.0002,
555
+ "loss": 11.8972,
556
+ "step": 77
557
+ },
558
+ {
559
+ "epoch": 0.027103920078184386,
560
+ "grad_norm": 0.09432029724121094,
561
+ "learning_rate": 0.0002,
562
+ "loss": 11.9041,
563
+ "step": 78
564
+ },
565
+ {
566
+ "epoch": 0.027451406233032903,
567
+ "grad_norm": 0.10265401005744934,
568
+ "learning_rate": 0.0002,
569
+ "loss": 11.8985,
570
+ "step": 79
571
+ },
572
+ {
573
+ "epoch": 0.02779889238788142,
574
+ "grad_norm": 0.1252361536026001,
575
+ "learning_rate": 0.0002,
576
+ "loss": 11.8977,
577
+ "step": 80
578
+ },
579
+ {
580
+ "epoch": 0.028146378542729937,
581
+ "grad_norm": 0.10411716252565384,
582
+ "learning_rate": 0.0002,
583
+ "loss": 11.8997,
584
+ "step": 81
585
+ },
586
+ {
587
+ "epoch": 0.028493864697578457,
588
+ "grad_norm": 0.08587804436683655,
589
+ "learning_rate": 0.0002,
590
+ "loss": 11.9012,
591
+ "step": 82
592
+ },
593
+ {
594
+ "epoch": 0.028841350852426974,
595
+ "grad_norm": 0.08058115839958191,
596
+ "learning_rate": 0.0002,
597
+ "loss": 11.9003,
598
+ "step": 83
599
+ },
600
+ {
601
+ "epoch": 0.02918883700727549,
602
+ "grad_norm": 0.07594079524278641,
603
+ "learning_rate": 0.0002,
604
+ "loss": 11.8974,
605
+ "step": 84
606
+ },
607
+ {
608
+ "epoch": 0.02953632316212401,
609
+ "grad_norm": 0.07827617228031158,
610
+ "learning_rate": 0.0002,
611
+ "loss": 11.9033,
612
+ "step": 85
613
+ },
614
+ {
615
+ "epoch": 0.029883809316972525,
616
+ "grad_norm": 0.1297484040260315,
617
+ "learning_rate": 0.0002,
618
+ "loss": 11.8968,
619
+ "step": 86
620
+ },
621
+ {
622
+ "epoch": 0.030231295471821046,
623
+ "grad_norm": 0.08223000913858414,
624
+ "learning_rate": 0.0002,
625
+ "loss": 11.899,
626
+ "step": 87
627
+ },
628
+ {
629
+ "epoch": 0.030578781626669563,
630
+ "grad_norm": 0.13640928268432617,
631
+ "learning_rate": 0.0002,
632
+ "loss": 11.8944,
633
+ "step": 88
634
+ },
635
+ {
636
+ "epoch": 0.03092626778151808,
637
+ "grad_norm": 0.06706880033016205,
638
+ "learning_rate": 0.0002,
639
+ "loss": 11.8995,
640
+ "step": 89
641
+ },
642
+ {
643
+ "epoch": 0.0312737539363666,
644
+ "grad_norm": 0.06531375646591187,
645
+ "learning_rate": 0.0002,
646
+ "loss": 11.8978,
647
+ "step": 90
648
+ },
649
+ {
650
+ "epoch": 0.031621240091215114,
651
+ "grad_norm": 0.10695676505565643,
652
+ "learning_rate": 0.0002,
653
+ "loss": 11.8983,
654
+ "step": 91
655
+ },
656
+ {
657
+ "epoch": 0.03196872624606363,
658
+ "grad_norm": 0.14000725746154785,
659
+ "learning_rate": 0.0002,
660
+ "loss": 11.8959,
661
+ "step": 92
662
+ },
663
+ {
664
+ "epoch": 0.032316212400912155,
665
+ "grad_norm": 0.09669840335845947,
666
+ "learning_rate": 0.0002,
667
+ "loss": 11.8941,
668
+ "step": 93
669
+ },
670
+ {
671
+ "epoch": 0.03266369855576067,
672
+ "grad_norm": 0.11073838174343109,
673
+ "learning_rate": 0.0002,
674
+ "loss": 11.8915,
675
+ "step": 94
676
+ },
677
+ {
678
+ "epoch": 0.03301118471060919,
679
+ "grad_norm": 0.08331165462732315,
680
+ "learning_rate": 0.0002,
681
+ "loss": 11.8938,
682
+ "step": 95
683
+ },
684
+ {
685
+ "epoch": 0.033358670865457705,
686
+ "grad_norm": 0.15655571222305298,
687
+ "learning_rate": 0.0002,
688
+ "loss": 11.8932,
689
+ "step": 96
690
+ },
691
+ {
692
+ "epoch": 0.03370615702030622,
693
+ "grad_norm": 0.17603087425231934,
694
+ "learning_rate": 0.0002,
695
+ "loss": 11.8968,
696
+ "step": 97
697
+ },
698
+ {
699
+ "epoch": 0.03405364317515474,
700
+ "grad_norm": 0.12482718378305435,
701
+ "learning_rate": 0.0002,
702
+ "loss": 11.897,
703
+ "step": 98
704
+ },
705
+ {
706
+ "epoch": 0.034401129330003256,
707
+ "grad_norm": 0.12503229081630707,
708
+ "learning_rate": 0.0002,
709
+ "loss": 11.891,
710
+ "step": 99
711
+ },
712
+ {
713
+ "epoch": 0.03474861548485177,
714
+ "grad_norm": 0.09498277306556702,
715
+ "learning_rate": 0.0002,
716
+ "loss": 11.8844,
717
+ "step": 100
718
+ },
719
+ {
720
+ "epoch": 0.03509610163970029,
721
+ "grad_norm": 0.1312226802110672,
722
+ "learning_rate": 0.0002,
723
+ "loss": 11.9084,
724
+ "step": 101
725
+ },
726
+ {
727
+ "epoch": 0.035443587794548814,
728
+ "grad_norm": 0.09091366827487946,
729
+ "learning_rate": 0.0002,
730
+ "loss": 11.9054,
731
+ "step": 102
732
+ },
733
+ {
734
+ "epoch": 0.03579107394939733,
735
+ "grad_norm": 0.1454145908355713,
736
+ "learning_rate": 0.0002,
737
+ "loss": 11.9042,
738
+ "step": 103
739
+ },
740
+ {
741
+ "epoch": 0.03613856010424585,
742
+ "grad_norm": 0.08102191239595413,
743
+ "learning_rate": 0.0002,
744
+ "loss": 11.9063,
745
+ "step": 104
746
+ },
747
+ {
748
+ "epoch": 0.036486046259094365,
749
+ "grad_norm": 0.13221821188926697,
750
+ "learning_rate": 0.0002,
751
+ "loss": 11.909,
752
+ "step": 105
753
+ },
754
+ {
755
+ "epoch": 0.03683353241394288,
756
+ "grad_norm": 0.1062745526432991,
757
+ "learning_rate": 0.0002,
758
+ "loss": 11.9046,
759
+ "step": 106
760
+ },
761
+ {
762
+ "epoch": 0.0371810185687914,
763
+ "grad_norm": 0.06836674362421036,
764
+ "learning_rate": 0.0002,
765
+ "loss": 11.909,
766
+ "step": 107
767
+ },
768
+ {
769
+ "epoch": 0.037528504723639916,
770
+ "grad_norm": 0.09360630810260773,
771
+ "learning_rate": 0.0002,
772
+ "loss": 11.9055,
773
+ "step": 108
774
+ },
775
+ {
776
+ "epoch": 0.03787599087848843,
777
+ "grad_norm": 0.08290737122297287,
778
+ "learning_rate": 0.0002,
779
+ "loss": 11.906,
780
+ "step": 109
781
+ },
782
+ {
783
+ "epoch": 0.03822347703333695,
784
+ "grad_norm": 0.08906275779008865,
785
+ "learning_rate": 0.0002,
786
+ "loss": 11.9055,
787
+ "step": 110
788
+ },
789
+ {
790
+ "epoch": 0.038570963188185474,
791
+ "grad_norm": 0.09641549736261368,
792
+ "learning_rate": 0.0002,
793
+ "loss": 11.9014,
794
+ "step": 111
795
+ },
796
+ {
797
+ "epoch": 0.03891844934303399,
798
+ "grad_norm": 0.06862755864858627,
799
+ "learning_rate": 0.0002,
800
+ "loss": 11.907,
801
+ "step": 112
802
+ },
803
+ {
804
+ "epoch": 0.03926593549788251,
805
+ "grad_norm": 0.0693221241235733,
806
+ "learning_rate": 0.0002,
807
+ "loss": 11.8994,
808
+ "step": 113
809
+ },
810
+ {
811
+ "epoch": 0.039613421652731025,
812
+ "grad_norm": 0.07022653520107269,
813
+ "learning_rate": 0.0002,
814
+ "loss": 11.9,
815
+ "step": 114
816
+ },
817
+ {
818
+ "epoch": 0.03996090780757954,
819
+ "grad_norm": 0.07689044624567032,
820
+ "learning_rate": 0.0002,
821
+ "loss": 11.9023,
822
+ "step": 115
823
+ },
824
+ {
825
+ "epoch": 0.04030839396242806,
826
+ "grad_norm": 0.057979751378297806,
827
+ "learning_rate": 0.0002,
828
+ "loss": 11.9054,
829
+ "step": 116
830
+ },
831
+ {
832
+ "epoch": 0.040655880117276576,
833
+ "grad_norm": 0.08366373926401138,
834
+ "learning_rate": 0.0002,
835
+ "loss": 11.9015,
836
+ "step": 117
837
+ },
838
+ {
839
+ "epoch": 0.04100336627212509,
840
+ "grad_norm": 0.0712393969297409,
841
+ "learning_rate": 0.0002,
842
+ "loss": 11.9041,
843
+ "step": 118
844
+ },
845
+ {
846
+ "epoch": 0.04135085242697361,
847
+ "grad_norm": 0.10435498505830765,
848
+ "learning_rate": 0.0002,
849
+ "loss": 11.8997,
850
+ "step": 119
851
+ },
852
+ {
853
+ "epoch": 0.041698338581822134,
854
+ "grad_norm": 0.10295312106609344,
855
+ "learning_rate": 0.0002,
856
+ "loss": 11.9046,
857
+ "step": 120
858
+ },
859
+ {
860
+ "epoch": 0.04204582473667065,
861
+ "grad_norm": 0.07660370320081711,
862
+ "learning_rate": 0.0002,
863
+ "loss": 11.901,
864
+ "step": 121
865
+ },
866
+ {
867
+ "epoch": 0.04239331089151917,
868
+ "grad_norm": 0.07008536905050278,
869
+ "learning_rate": 0.0002,
870
+ "loss": 11.9056,
871
+ "step": 122
872
+ },
873
+ {
874
+ "epoch": 0.042740797046367685,
875
+ "grad_norm": 0.10028208792209625,
876
+ "learning_rate": 0.0002,
877
+ "loss": 11.8977,
878
+ "step": 123
879
+ },
880
+ {
881
+ "epoch": 0.0430882832012162,
882
+ "grad_norm": 0.0924067497253418,
883
+ "learning_rate": 0.0002,
884
+ "loss": 11.901,
885
+ "step": 124
886
+ },
887
+ {
888
+ "epoch": 0.04343576935606472,
889
+ "grad_norm": 0.07573441416025162,
890
+ "learning_rate": 0.0002,
891
+ "loss": 11.9012,
892
+ "step": 125
893
+ },
894
+ {
895
+ "epoch": 0.043783255510913235,
896
+ "grad_norm": 0.06890792399644852,
897
+ "learning_rate": 0.0002,
898
+ "loss": 11.9027,
899
+ "step": 126
900
+ },
901
+ {
902
+ "epoch": 0.04413074166576175,
903
+ "grad_norm": 0.09174921363592148,
904
+ "learning_rate": 0.0002,
905
+ "loss": 11.8932,
906
+ "step": 127
907
+ },
908
+ {
909
+ "epoch": 0.04447822782061027,
910
+ "grad_norm": 0.08061697334051132,
911
+ "learning_rate": 0.0002,
912
+ "loss": 11.9028,
913
+ "step": 128
914
+ },
915
+ {
916
+ "epoch": 0.04482571397545879,
917
+ "grad_norm": 0.07555411756038666,
918
+ "learning_rate": 0.0002,
919
+ "loss": 11.8985,
920
+ "step": 129
921
+ },
922
+ {
923
+ "epoch": 0.04517320013030731,
924
+ "grad_norm": 0.09648026525974274,
925
+ "learning_rate": 0.0002,
926
+ "loss": 11.8978,
927
+ "step": 130
928
+ },
929
+ {
930
+ "epoch": 0.04552068628515583,
931
+ "grad_norm": 0.07210751622915268,
932
+ "learning_rate": 0.0002,
933
+ "loss": 11.8999,
934
+ "step": 131
935
+ },
936
+ {
937
+ "epoch": 0.045868172440004344,
938
+ "grad_norm": 0.09218046069145203,
939
+ "learning_rate": 0.0002,
940
+ "loss": 11.8947,
941
+ "step": 132
942
+ },
943
+ {
944
+ "epoch": 0.04621565859485286,
945
+ "grad_norm": 0.05453067272901535,
946
+ "learning_rate": 0.0002,
947
+ "loss": 11.9034,
948
+ "step": 133
949
+ },
950
+ {
951
+ "epoch": 0.04656314474970138,
952
+ "grad_norm": 0.0711541622877121,
953
+ "learning_rate": 0.0002,
954
+ "loss": 11.8992,
955
+ "step": 134
956
+ },
957
+ {
958
+ "epoch": 0.046910630904549895,
959
+ "grad_norm": 0.1053735688328743,
960
+ "learning_rate": 0.0002,
961
+ "loss": 11.8991,
962
+ "step": 135
963
+ },
964
+ {
965
+ "epoch": 0.04725811705939841,
966
+ "grad_norm": 0.0645148754119873,
967
+ "learning_rate": 0.0002,
968
+ "loss": 11.8968,
969
+ "step": 136
970
+ },
971
+ {
972
+ "epoch": 0.04760560321424693,
973
+ "grad_norm": 0.06491801142692566,
974
+ "learning_rate": 0.0002,
975
+ "loss": 11.8957,
976
+ "step": 137
977
+ },
978
+ {
979
+ "epoch": 0.04795308936909545,
980
+ "grad_norm": 0.10429602116346359,
981
+ "learning_rate": 0.0002,
982
+ "loss": 11.8955,
983
+ "step": 138
984
+ },
985
+ {
986
+ "epoch": 0.04830057552394397,
987
+ "grad_norm": 0.0622989796102047,
988
+ "learning_rate": 0.0002,
989
+ "loss": 11.8988,
990
+ "step": 139
991
+ },
992
+ {
993
+ "epoch": 0.04864806167879249,
994
+ "grad_norm": 0.10739599913358688,
995
+ "learning_rate": 0.0002,
996
+ "loss": 11.8981,
997
+ "step": 140
998
+ },
999
+ {
1000
+ "epoch": 0.048995547833641004,
1001
+ "grad_norm": 0.14055471122264862,
1002
+ "learning_rate": 0.0002,
1003
+ "loss": 11.8982,
1004
+ "step": 141
1005
+ },
1006
+ {
1007
+ "epoch": 0.04934303398848952,
1008
+ "grad_norm": 0.09842164814472198,
1009
+ "learning_rate": 0.0002,
1010
+ "loss": 11.8902,
1011
+ "step": 142
1012
+ },
1013
+ {
1014
+ "epoch": 0.04969052014333804,
1015
+ "grad_norm": 0.09341579675674438,
1016
+ "learning_rate": 0.0002,
1017
+ "loss": 11.899,
1018
+ "step": 143
1019
+ },
1020
+ {
1021
+ "epoch": 0.050038006298186555,
1022
+ "grad_norm": 0.07444426417350769,
1023
+ "learning_rate": 0.0002,
1024
+ "loss": 11.8933,
1025
+ "step": 144
1026
+ },
1027
+ {
1028
+ "epoch": 0.05038549245303507,
1029
+ "grad_norm": 0.08774271607398987,
1030
+ "learning_rate": 0.0002,
1031
+ "loss": 11.8901,
1032
+ "step": 145
1033
+ },
1034
+ {
1035
+ "epoch": 0.05073297860788359,
1036
+ "grad_norm": 0.10006585717201233,
1037
+ "learning_rate": 0.0002,
1038
+ "loss": 11.8946,
1039
+ "step": 146
1040
+ },
1041
+ {
1042
+ "epoch": 0.05108046476273211,
1043
+ "grad_norm": 0.09308529645204544,
1044
+ "learning_rate": 0.0002,
1045
+ "loss": 11.8902,
1046
+ "step": 147
1047
+ },
1048
+ {
1049
+ "epoch": 0.05142795091758063,
1050
+ "grad_norm": 0.08122701942920685,
1051
+ "learning_rate": 0.0002,
1052
+ "loss": 11.8916,
1053
+ "step": 148
1054
+ },
1055
+ {
1056
+ "epoch": 0.05177543707242915,
1057
+ "grad_norm": 0.10251297801733017,
1058
+ "learning_rate": 0.0002,
1059
+ "loss": 11.8899,
1060
+ "step": 149
1061
+ },
1062
+ {
1063
+ "epoch": 0.052122923227277664,
1064
+ "grad_norm": 0.10554410517215729,
1065
+ "learning_rate": 0.0002,
1066
+ "loss": 11.8902,
1067
+ "step": 150
1068
+ },
1069
+ {
1070
+ "epoch": 0.05247040938212618,
1071
+ "grad_norm": 0.10589632391929626,
1072
+ "learning_rate": 0.0002,
1073
+ "loss": 11.9072,
1074
+ "step": 151
1075
+ },
1076
+ {
1077
+ "epoch": 0.0528178955369747,
1078
+ "grad_norm": 0.09979573637247086,
1079
+ "learning_rate": 0.0002,
1080
+ "loss": 11.9069,
1081
+ "step": 152
1082
+ },
1083
+ {
1084
+ "epoch": 0.053165381691823214,
1085
+ "grad_norm": 0.0587557777762413,
1086
+ "learning_rate": 0.0002,
1087
+ "loss": 11.9057,
1088
+ "step": 153
1089
+ },
1090
+ {
1091
+ "epoch": 0.05351286784667173,
1092
+ "grad_norm": 0.09702659398317337,
1093
+ "learning_rate": 0.0002,
1094
+ "loss": 11.9082,
1095
+ "step": 154
1096
+ },
1097
+ {
1098
+ "epoch": 0.053860354001520255,
1099
+ "grad_norm": 0.103793203830719,
1100
+ "learning_rate": 0.0002,
1101
+ "loss": 11.9093,
1102
+ "step": 155
1103
+ },
1104
+ {
1105
+ "epoch": 0.05420784015636877,
1106
+ "grad_norm": 0.08238790184259415,
1107
+ "learning_rate": 0.0002,
1108
+ "loss": 11.9107,
1109
+ "step": 156
1110
+ },
1111
+ {
1112
+ "epoch": 0.05455532631121729,
1113
+ "grad_norm": 0.07225769013166428,
1114
+ "learning_rate": 0.0002,
1115
+ "loss": 11.9053,
1116
+ "step": 157
1117
+ },
1118
+ {
1119
+ "epoch": 0.054902812466065806,
1120
+ "grad_norm": 0.05198921263217926,
1121
+ "learning_rate": 0.0002,
1122
+ "loss": 11.8999,
1123
+ "step": 158
1124
+ },
1125
+ {
1126
+ "epoch": 0.05525029862091432,
1127
+ "grad_norm": 0.05769280344247818,
1128
+ "learning_rate": 0.0002,
1129
+ "loss": 11.9022,
1130
+ "step": 159
1131
+ },
1132
+ {
1133
+ "epoch": 0.05559778477576284,
1134
+ "grad_norm": 0.05631476268172264,
1135
+ "learning_rate": 0.0002,
1136
+ "loss": 11.9022,
1137
+ "step": 160
1138
+ },
1139
+ {
1140
+ "epoch": 0.05594527093061136,
1141
+ "grad_norm": 0.06880992650985718,
1142
+ "learning_rate": 0.0002,
1143
+ "loss": 11.9027,
1144
+ "step": 161
1145
+ },
1146
+ {
1147
+ "epoch": 0.056292757085459874,
1148
+ "grad_norm": 0.05540763959288597,
1149
+ "learning_rate": 0.0002,
1150
+ "loss": 11.9043,
1151
+ "step": 162
1152
+ },
1153
+ {
1154
+ "epoch": 0.05664024324030839,
1155
+ "grad_norm": 0.06074633076786995,
1156
+ "learning_rate": 0.0002,
1157
+ "loss": 11.9046,
1158
+ "step": 163
1159
+ },
1160
+ {
1161
+ "epoch": 0.056987729395156915,
1162
+ "grad_norm": 0.06316022574901581,
1163
+ "learning_rate": 0.0002,
1164
+ "loss": 11.9049,
1165
+ "step": 164
1166
+ },
1167
+ {
1168
+ "epoch": 0.05733521555000543,
1169
+ "grad_norm": 0.04631908982992172,
1170
+ "learning_rate": 0.0002,
1171
+ "loss": 11.9039,
1172
+ "step": 165
1173
+ },
1174
+ {
1175
+ "epoch": 0.05768270170485395,
1176
+ "grad_norm": 0.053790781646966934,
1177
+ "learning_rate": 0.0002,
1178
+ "loss": 11.9023,
1179
+ "step": 166
1180
+ },
1181
+ {
1182
+ "epoch": 0.058030187859702466,
1183
+ "grad_norm": 0.06644025444984436,
1184
+ "learning_rate": 0.0002,
1185
+ "loss": 11.9047,
1186
+ "step": 167
1187
+ },
1188
+ {
1189
+ "epoch": 0.05837767401455098,
1190
+ "grad_norm": 0.06444647163152695,
1191
+ "learning_rate": 0.0002,
1192
+ "loss": 11.9046,
1193
+ "step": 168
1194
+ },
1195
+ {
1196
+ "epoch": 0.0587251601693995,
1197
+ "grad_norm": 0.058785196393728256,
1198
+ "learning_rate": 0.0002,
1199
+ "loss": 11.8995,
1200
+ "step": 169
1201
+ },
1202
+ {
1203
+ "epoch": 0.05907264632424802,
1204
+ "grad_norm": 0.07722290605306625,
1205
+ "learning_rate": 0.0002,
1206
+ "loss": 11.9015,
1207
+ "step": 170
1208
+ },
1209
+ {
1210
+ "epoch": 0.059420132479096534,
1211
+ "grad_norm": 0.06151355803012848,
1212
+ "learning_rate": 0.0002,
1213
+ "loss": 11.9014,
1214
+ "step": 171
1215
+ },
1216
+ {
1217
+ "epoch": 0.05976761863394505,
1218
+ "grad_norm": 0.05743426829576492,
1219
+ "learning_rate": 0.0002,
1220
+ "loss": 11.8998,
1221
+ "step": 172
1222
+ },
1223
+ {
1224
+ "epoch": 0.060115104788793575,
1225
+ "grad_norm": 0.08415333181619644,
1226
+ "learning_rate": 0.0002,
1227
+ "loss": 11.9002,
1228
+ "step": 173
1229
+ },
1230
+ {
1231
+ "epoch": 0.06046259094364209,
1232
+ "grad_norm": 0.06544923037290573,
1233
+ "learning_rate": 0.0002,
1234
+ "loss": 11.9044,
1235
+ "step": 174
1236
+ },
1237
+ {
1238
+ "epoch": 0.06081007709849061,
1239
+ "grad_norm": 0.07856203615665436,
1240
+ "learning_rate": 0.0002,
1241
+ "loss": 11.8977,
1242
+ "step": 175
1243
+ },
1244
+ {
1245
+ "epoch": 0.061157563253339126,
1246
+ "grad_norm": 0.07619032263755798,
1247
+ "learning_rate": 0.0002,
1248
+ "loss": 11.9023,
1249
+ "step": 176
1250
+ },
1251
+ {
1252
+ "epoch": 0.06150504940818764,
1253
+ "grad_norm": 0.09355928748846054,
1254
+ "learning_rate": 0.0002,
1255
+ "loss": 11.8972,
1256
+ "step": 177
1257
+ },
1258
+ {
1259
+ "epoch": 0.06185253556303616,
1260
+ "grad_norm": 0.06575162708759308,
1261
+ "learning_rate": 0.0002,
1262
+ "loss": 11.8992,
1263
+ "step": 178
1264
+ },
1265
+ {
1266
+ "epoch": 0.062200021717884676,
1267
+ "grad_norm": 0.0789370983839035,
1268
+ "learning_rate": 0.0002,
1269
+ "loss": 11.8958,
1270
+ "step": 179
1271
+ },
1272
+ {
1273
+ "epoch": 0.0625475078727332,
1274
+ "grad_norm": 0.07847633957862854,
1275
+ "learning_rate": 0.0002,
1276
+ "loss": 11.8966,
1277
+ "step": 180
1278
+ },
1279
+ {
1280
+ "epoch": 0.06289499402758171,
1281
+ "grad_norm": 0.07173720002174377,
1282
+ "learning_rate": 0.0002,
1283
+ "loss": 11.8956,
1284
+ "step": 181
1285
+ },
1286
+ {
1287
+ "epoch": 0.06324248018243023,
1288
+ "grad_norm": 0.05272684991359711,
1289
+ "learning_rate": 0.0002,
1290
+ "loss": 11.896,
1291
+ "step": 182
1292
+ },
1293
+ {
1294
+ "epoch": 0.06358996633727874,
1295
+ "grad_norm": 0.07556164264678955,
1296
+ "learning_rate": 0.0002,
1297
+ "loss": 11.8948,
1298
+ "step": 183
1299
+ },
1300
+ {
1301
+ "epoch": 0.06393745249212726,
1302
+ "grad_norm": 0.0878751128911972,
1303
+ "learning_rate": 0.0002,
1304
+ "loss": 11.8942,
1305
+ "step": 184
1306
+ },
1307
+ {
1308
+ "epoch": 0.06428493864697578,
1309
+ "grad_norm": 0.061481546610593796,
1310
+ "learning_rate": 0.0002,
1311
+ "loss": 11.8964,
1312
+ "step": 185
1313
+ },
1314
+ {
1315
+ "epoch": 0.06463242480182431,
1316
+ "grad_norm": 0.09431992471218109,
1317
+ "learning_rate": 0.0002,
1318
+ "loss": 11.8959,
1319
+ "step": 186
1320
+ },
1321
+ {
1322
+ "epoch": 0.06497991095667283,
1323
+ "grad_norm": 0.09289803355932236,
1324
+ "learning_rate": 0.0002,
1325
+ "loss": 11.8963,
1326
+ "step": 187
1327
+ },
1328
+ {
1329
+ "epoch": 0.06532739711152134,
1330
+ "grad_norm": 0.07862928509712219,
1331
+ "learning_rate": 0.0002,
1332
+ "loss": 11.8916,
1333
+ "step": 188
1334
+ },
1335
+ {
1336
+ "epoch": 0.06567488326636986,
1337
+ "grad_norm": 0.0784432515501976,
1338
+ "learning_rate": 0.0002,
1339
+ "loss": 11.8894,
1340
+ "step": 189
1341
+ },
1342
+ {
1343
+ "epoch": 0.06602236942121838,
1344
+ "grad_norm": 0.09425938129425049,
1345
+ "learning_rate": 0.0002,
1346
+ "loss": 11.8929,
1347
+ "step": 190
1348
+ },
1349
+ {
1350
+ "epoch": 0.0663698555760669,
1351
+ "grad_norm": 0.09498079121112823,
1352
+ "learning_rate": 0.0002,
1353
+ "loss": 11.8957,
1354
+ "step": 191
1355
+ },
1356
+ {
1357
+ "epoch": 0.06671734173091541,
1358
+ "grad_norm": 0.0879976823925972,
1359
+ "learning_rate": 0.0002,
1360
+ "loss": 11.9006,
1361
+ "step": 192
1362
+ },
1363
+ {
1364
+ "epoch": 0.06706482788576393,
1365
+ "grad_norm": 0.08665107190608978,
1366
+ "learning_rate": 0.0002,
1367
+ "loss": 11.8888,
1368
+ "step": 193
1369
+ },
1370
+ {
1371
+ "epoch": 0.06741231404061244,
1372
+ "grad_norm": 0.0673820823431015,
1373
+ "learning_rate": 0.0002,
1374
+ "loss": 11.8879,
1375
+ "step": 194
1376
+ },
1377
+ {
1378
+ "epoch": 0.06775980019546096,
1379
+ "grad_norm": 0.13298839330673218,
1380
+ "learning_rate": 0.0002,
1381
+ "loss": 11.889,
1382
+ "step": 195
1383
+ },
1384
+ {
1385
+ "epoch": 0.06810728635030948,
1386
+ "grad_norm": 0.0720556378364563,
1387
+ "learning_rate": 0.0002,
1388
+ "loss": 11.8985,
1389
+ "step": 196
1390
+ },
1391
+ {
1392
+ "epoch": 0.068454772505158,
1393
+ "grad_norm": 0.09310664236545563,
1394
+ "learning_rate": 0.0002,
1395
+ "loss": 11.8876,
1396
+ "step": 197
1397
+ },
1398
+ {
1399
+ "epoch": 0.06880225866000651,
1400
+ "grad_norm": 0.08380582183599472,
1401
+ "learning_rate": 0.0002,
1402
+ "loss": 11.8874,
1403
+ "step": 198
1404
+ },
1405
+ {
1406
+ "epoch": 0.06914974481485503,
1407
+ "grad_norm": 0.11863453686237335,
1408
+ "learning_rate": 0.0002,
1409
+ "loss": 11.8862,
1410
+ "step": 199
1411
+ },
1412
+ {
1413
+ "epoch": 0.06949723096970355,
1414
+ "grad_norm": 0.11385597288608551,
1415
+ "learning_rate": 0.0002,
1416
+ "loss": 11.8831,
1417
+ "step": 200
1418
+ },
1419
+ {
1420
+ "epoch": 0.06949723096970355,
1421
+ "eval_loss": 11.896341323852539,
1422
+ "eval_runtime": 5.6561,
1423
+ "eval_samples_per_second": 81.858,
1424
+ "eval_steps_per_second": 41.017,
1425
+ "step": 200
1426
+ }
1427
+ ],
1428
+ "logging_steps": 1,
1429
+ "max_steps": 8631,
1430
+ "num_input_tokens_seen": 0,
1431
+ "num_train_epochs": 3,
1432
+ "save_steps": 200,
1433
+ "stateful_callbacks": {
1434
+ "EarlyStoppingCallback": {
1435
+ "args": {
1436
+ "early_stopping_patience": 3,
1437
+ "early_stopping_threshold": 0.0
1438
+ },
1439
+ "attributes": {
1440
+ "early_stopping_patience_counter": 0
1441
+ }
1442
+ },
1443
+ "TrainerControl": {
1444
+ "args": {
1445
+ "should_epoch_stop": false,
1446
+ "should_evaluate": false,
1447
+ "should_log": false,
1448
+ "should_save": true,
1449
+ "should_training_stop": false
1450
+ },
1451
+ "attributes": {}
1452
+ }
1453
+ },
1454
+ "total_flos": 964165632000.0,
1455
+ "train_batch_size": 2,
1456
+ "trial_name": null,
1457
+ "trial_params": null
1458
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a1b2b54f6bb8dca0bfcb630823147aa959d2a0322d44f17cbe3d8f3e60e8bdef
3
+ size 6776
last-checkpoint/vocab.json ADDED
The diff for this file is too large to render. See raw diff