error577 commited on
Commit
62b3516
·
verified ·
1 Parent(s): 2e50a77

Training in progress, step 200, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: openlm-research/open_llama_3b
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": "openlm-research/open_llama_3b",
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": 64,
14
+ "lora_dropout": 0.1,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "gate_proj",
24
+ "o_proj",
25
+ "down_proj",
26
+ "k_proj",
27
+ "up_proj",
28
+ "v_proj",
29
+ "q_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72f28cadd8c918a524132896352d2e8864faa8c0607da67b4118a48e26e08661
3
+ size 203456160
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d16893120f3a2dd499e3d9e57b9667e48eba00408b6c77437a89b0ccd3f02230
3
+ size 103716100
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b81d9955023da2f6aa938a016eed48b42010ceda70c7112468b9f2d00aa41cf5
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:371419fc299cc77a3496f86edf3fc71d13a6e0683fa703cd0e2a5207cd5461ba
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
last-checkpoint/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab1b681ec7fc02fed5edd3026687d7a692a918c4dd8e150ca2e3994a6229843b
3
+ size 534194
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": true,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ }
30
+ },
31
+ "bos_token": "<s>",
32
+ "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 %}",
33
+ "clean_up_tokenization_spaces": false,
34
+ "eos_token": "</s>",
35
+ "legacy": true,
36
+ "model_max_length": 2048,
37
+ "pad_token": "</s>",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false
43
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,1458 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.48710426688194275,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-200",
4
+ "epoch": 0.015965195872996867,
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": 7.982597936498434e-05,
13
+ "grad_norm": 0.6978444457054138,
14
+ "learning_rate": 6.666666666666667e-06,
15
+ "loss": 0.8702,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 7.982597936498434e-05,
20
+ "eval_loss": 0.9949384927749634,
21
+ "eval_runtime": 34.0877,
22
+ "eval_samples_per_second": 7.393,
23
+ "eval_steps_per_second": 7.393,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.00015965195872996867,
28
+ "grad_norm": 0.6221582889556885,
29
+ "learning_rate": 1.3333333333333333e-05,
30
+ "loss": 0.9368,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.000239477938094953,
35
+ "grad_norm": 0.8889533877372742,
36
+ "learning_rate": 2e-05,
37
+ "loss": 0.9468,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.00031930391745993734,
42
+ "grad_norm": 0.7401799559593201,
43
+ "learning_rate": 2.6666666666666667e-05,
44
+ "loss": 0.7979,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.0003991298968249217,
49
+ "grad_norm": 0.7739838361740112,
50
+ "learning_rate": 3.3333333333333335e-05,
51
+ "loss": 0.8109,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.000478955876189906,
56
+ "grad_norm": 0.6389685273170471,
57
+ "learning_rate": 4e-05,
58
+ "loss": 0.7721,
59
+ "step": 6
60
+ },
61
+ {
62
+ "epoch": 0.0005587818555548903,
63
+ "grad_norm": 0.6121872663497925,
64
+ "learning_rate": 4.666666666666667e-05,
65
+ "loss": 1.0764,
66
+ "step": 7
67
+ },
68
+ {
69
+ "epoch": 0.0006386078349198747,
70
+ "grad_norm": 0.5235614776611328,
71
+ "learning_rate": 5.333333333333333e-05,
72
+ "loss": 0.8227,
73
+ "step": 8
74
+ },
75
+ {
76
+ "epoch": 0.000718433814284859,
77
+ "grad_norm": 0.5427432656288147,
78
+ "learning_rate": 6e-05,
79
+ "loss": 0.6078,
80
+ "step": 9
81
+ },
82
+ {
83
+ "epoch": 0.0007982597936498434,
84
+ "grad_norm": 0.47566384077072144,
85
+ "learning_rate": 6.666666666666667e-05,
86
+ "loss": 0.6422,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.0008780857730148276,
91
+ "grad_norm": 0.4659350514411926,
92
+ "learning_rate": 7.333333333333333e-05,
93
+ "loss": 0.596,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.000957911752379812,
98
+ "grad_norm": 0.6114226579666138,
99
+ "learning_rate": 8e-05,
100
+ "loss": 0.6285,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.0010377377317447964,
105
+ "grad_norm": 0.5205951929092407,
106
+ "learning_rate": 8.666666666666667e-05,
107
+ "loss": 0.7634,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.0011175637111097807,
112
+ "grad_norm": 0.5503156781196594,
113
+ "learning_rate": 9.333333333333334e-05,
114
+ "loss": 0.6936,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.001197389690474765,
119
+ "grad_norm": 0.6346184015274048,
120
+ "learning_rate": 0.0001,
121
+ "loss": 0.6529,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.0012772156698397494,
126
+ "grad_norm": 0.7112955451011658,
127
+ "learning_rate": 0.00010666666666666667,
128
+ "loss": 0.6017,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.0013570416492047336,
133
+ "grad_norm": 0.7180954813957214,
134
+ "learning_rate": 0.00011333333333333334,
135
+ "loss": 0.7348,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.001436867628569718,
140
+ "grad_norm": 0.9665006995201111,
141
+ "learning_rate": 0.00012,
142
+ "loss": 0.795,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.0015166936079347023,
147
+ "grad_norm": 0.664631187915802,
148
+ "learning_rate": 0.00012666666666666666,
149
+ "loss": 0.5434,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.0015965195872996868,
154
+ "grad_norm": 0.9294877648353577,
155
+ "learning_rate": 0.00013333333333333334,
156
+ "loss": 0.6761,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.001676345566664671,
161
+ "grad_norm": 0.921779990196228,
162
+ "learning_rate": 0.00014,
163
+ "loss": 0.7902,
164
+ "step": 21
165
+ },
166
+ {
167
+ "epoch": 0.0017561715460296552,
168
+ "grad_norm": 0.825416088104248,
169
+ "learning_rate": 0.00014666666666666666,
170
+ "loss": 0.4612,
171
+ "step": 22
172
+ },
173
+ {
174
+ "epoch": 0.0018359975253946397,
175
+ "grad_norm": 0.6585280895233154,
176
+ "learning_rate": 0.00015333333333333334,
177
+ "loss": 0.6872,
178
+ "step": 23
179
+ },
180
+ {
181
+ "epoch": 0.001915823504759624,
182
+ "grad_norm": 0.5992960929870605,
183
+ "learning_rate": 0.00016,
184
+ "loss": 0.5949,
185
+ "step": 24
186
+ },
187
+ {
188
+ "epoch": 0.0019956494841246084,
189
+ "grad_norm": 0.5506778359413147,
190
+ "learning_rate": 0.0001666666666666667,
191
+ "loss": 0.6372,
192
+ "step": 25
193
+ },
194
+ {
195
+ "epoch": 0.002075475463489593,
196
+ "grad_norm": 0.4277991056442261,
197
+ "learning_rate": 0.00017333333333333334,
198
+ "loss": 0.6599,
199
+ "step": 26
200
+ },
201
+ {
202
+ "epoch": 0.002155301442854577,
203
+ "grad_norm": 0.4358632564544678,
204
+ "learning_rate": 0.00018,
205
+ "loss": 0.4311,
206
+ "step": 27
207
+ },
208
+ {
209
+ "epoch": 0.0022351274222195613,
210
+ "grad_norm": 0.47243207693099976,
211
+ "learning_rate": 0.0001866666666666667,
212
+ "loss": 0.4258,
213
+ "step": 28
214
+ },
215
+ {
216
+ "epoch": 0.002314953401584546,
217
+ "grad_norm": 0.49624741077423096,
218
+ "learning_rate": 0.00019333333333333333,
219
+ "loss": 0.5656,
220
+ "step": 29
221
+ },
222
+ {
223
+ "epoch": 0.00239477938094953,
224
+ "grad_norm": 0.5323299169540405,
225
+ "learning_rate": 0.0002,
226
+ "loss": 0.451,
227
+ "step": 30
228
+ },
229
+ {
230
+ "epoch": 0.0024746053603145143,
231
+ "grad_norm": 0.3971990942955017,
232
+ "learning_rate": 0.00019999999980322236,
233
+ "loss": 0.5564,
234
+ "step": 31
235
+ },
236
+ {
237
+ "epoch": 0.0025544313396794987,
238
+ "grad_norm": 0.8148688673973083,
239
+ "learning_rate": 0.00019999999921288937,
240
+ "loss": 0.4035,
241
+ "step": 32
242
+ },
243
+ {
244
+ "epoch": 0.002634257319044483,
245
+ "grad_norm": 0.570773184299469,
246
+ "learning_rate": 0.00019999999822900105,
247
+ "loss": 0.6842,
248
+ "step": 33
249
+ },
250
+ {
251
+ "epoch": 0.0027140832984094672,
252
+ "grad_norm": 0.5124844312667847,
253
+ "learning_rate": 0.00019999999685155743,
254
+ "loss": 0.5752,
255
+ "step": 34
256
+ },
257
+ {
258
+ "epoch": 0.0027939092777744517,
259
+ "grad_norm": 0.5524983406066895,
260
+ "learning_rate": 0.0001999999950805585,
261
+ "loss": 0.5707,
262
+ "step": 35
263
+ },
264
+ {
265
+ "epoch": 0.002873735257139436,
266
+ "grad_norm": 0.3884465992450714,
267
+ "learning_rate": 0.0001999999929160042,
268
+ "loss": 0.4453,
269
+ "step": 36
270
+ },
271
+ {
272
+ "epoch": 0.00295356123650442,
273
+ "grad_norm": 0.535567045211792,
274
+ "learning_rate": 0.00019999999035789467,
275
+ "loss": 0.4068,
276
+ "step": 37
277
+ },
278
+ {
279
+ "epoch": 0.0030333872158694046,
280
+ "grad_norm": 0.5301805734634399,
281
+ "learning_rate": 0.00019999998740622985,
282
+ "loss": 0.542,
283
+ "step": 38
284
+ },
285
+ {
286
+ "epoch": 0.003113213195234389,
287
+ "grad_norm": 0.5463919639587402,
288
+ "learning_rate": 0.00019999998406100976,
289
+ "loss": 0.4507,
290
+ "step": 39
291
+ },
292
+ {
293
+ "epoch": 0.0031930391745993735,
294
+ "grad_norm": 0.5074406862258911,
295
+ "learning_rate": 0.00019999998032223438,
296
+ "loss": 0.5171,
297
+ "step": 40
298
+ },
299
+ {
300
+ "epoch": 0.0032728651539643576,
301
+ "grad_norm": 0.6419821977615356,
302
+ "learning_rate": 0.00019999997618990375,
303
+ "loss": 0.6315,
304
+ "step": 41
305
+ },
306
+ {
307
+ "epoch": 0.003352691133329342,
308
+ "grad_norm": 0.7871913313865662,
309
+ "learning_rate": 0.0001999999716640179,
310
+ "loss": 0.6276,
311
+ "step": 42
312
+ },
313
+ {
314
+ "epoch": 0.0034325171126943265,
315
+ "grad_norm": 0.788992166519165,
316
+ "learning_rate": 0.00019999996674457683,
317
+ "loss": 0.6411,
318
+ "step": 43
319
+ },
320
+ {
321
+ "epoch": 0.0035123430920593105,
322
+ "grad_norm": 0.36080795526504517,
323
+ "learning_rate": 0.00019999996143158058,
324
+ "loss": 0.4389,
325
+ "step": 44
326
+ },
327
+ {
328
+ "epoch": 0.003592169071424295,
329
+ "grad_norm": 0.46374040842056274,
330
+ "learning_rate": 0.00019999995572502914,
331
+ "loss": 0.6004,
332
+ "step": 45
333
+ },
334
+ {
335
+ "epoch": 0.0036719950507892794,
336
+ "grad_norm": 0.4771120548248291,
337
+ "learning_rate": 0.00019999994962492255,
338
+ "loss": 0.4023,
339
+ "step": 46
340
+ },
341
+ {
342
+ "epoch": 0.003751821030154264,
343
+ "grad_norm": 0.39009377360343933,
344
+ "learning_rate": 0.00019999994313126083,
345
+ "loss": 0.5949,
346
+ "step": 47
347
+ },
348
+ {
349
+ "epoch": 0.003831647009519248,
350
+ "grad_norm": 0.44296398758888245,
351
+ "learning_rate": 0.00019999993624404404,
352
+ "loss": 0.5292,
353
+ "step": 48
354
+ },
355
+ {
356
+ "epoch": 0.003911472988884232,
357
+ "grad_norm": 0.41374722123146057,
358
+ "learning_rate": 0.00019999992896327213,
359
+ "loss": 0.5127,
360
+ "step": 49
361
+ },
362
+ {
363
+ "epoch": 0.003991298968249217,
364
+ "grad_norm": 0.6176245212554932,
365
+ "learning_rate": 0.0001999999212889452,
366
+ "loss": 0.5315,
367
+ "step": 50
368
+ },
369
+ {
370
+ "epoch": 0.004071124947614201,
371
+ "grad_norm": 0.5393801331520081,
372
+ "learning_rate": 0.00019999991322106327,
373
+ "loss": 0.6397,
374
+ "step": 51
375
+ },
376
+ {
377
+ "epoch": 0.004150950926979186,
378
+ "grad_norm": 0.41064855456352234,
379
+ "learning_rate": 0.00019999990475962632,
380
+ "loss": 0.4149,
381
+ "step": 52
382
+ },
383
+ {
384
+ "epoch": 0.004230776906344169,
385
+ "grad_norm": 0.41754090785980225,
386
+ "learning_rate": 0.00019999989590463444,
387
+ "loss": 0.5011,
388
+ "step": 53
389
+ },
390
+ {
391
+ "epoch": 0.004310602885709154,
392
+ "grad_norm": 0.4694159924983978,
393
+ "learning_rate": 0.00019999988665608763,
394
+ "loss": 0.4445,
395
+ "step": 54
396
+ },
397
+ {
398
+ "epoch": 0.004390428865074138,
399
+ "grad_norm": 0.44929438829421997,
400
+ "learning_rate": 0.00019999987701398595,
401
+ "loss": 0.549,
402
+ "step": 55
403
+ },
404
+ {
405
+ "epoch": 0.004470254844439123,
406
+ "grad_norm": 0.38041579723358154,
407
+ "learning_rate": 0.00019999986697832943,
408
+ "loss": 0.5887,
409
+ "step": 56
410
+ },
411
+ {
412
+ "epoch": 0.004550080823804107,
413
+ "grad_norm": 0.3928568959236145,
414
+ "learning_rate": 0.0001999998565491181,
415
+ "loss": 0.5408,
416
+ "step": 57
417
+ },
418
+ {
419
+ "epoch": 0.004629906803169092,
420
+ "grad_norm": 0.47993287444114685,
421
+ "learning_rate": 0.000199999845726352,
422
+ "loss": 0.4402,
423
+ "step": 58
424
+ },
425
+ {
426
+ "epoch": 0.004709732782534076,
427
+ "grad_norm": 0.5937661528587341,
428
+ "learning_rate": 0.00019999983451003122,
429
+ "loss": 0.7218,
430
+ "step": 59
431
+ },
432
+ {
433
+ "epoch": 0.00478955876189906,
434
+ "grad_norm": 0.48752108216285706,
435
+ "learning_rate": 0.00019999982290015573,
436
+ "loss": 0.4714,
437
+ "step": 60
438
+ },
439
+ {
440
+ "epoch": 0.004869384741264044,
441
+ "grad_norm": 0.4562622904777527,
442
+ "learning_rate": 0.00019999981089672563,
443
+ "loss": 0.4191,
444
+ "step": 61
445
+ },
446
+ {
447
+ "epoch": 0.0049492107206290286,
448
+ "grad_norm": 0.37795504927635193,
449
+ "learning_rate": 0.00019999979849974093,
450
+ "loss": 0.4863,
451
+ "step": 62
452
+ },
453
+ {
454
+ "epoch": 0.005029036699994013,
455
+ "grad_norm": 0.42114368081092834,
456
+ "learning_rate": 0.00019999978570920171,
457
+ "loss": 0.6121,
458
+ "step": 63
459
+ },
460
+ {
461
+ "epoch": 0.0051088626793589975,
462
+ "grad_norm": 0.562707781791687,
463
+ "learning_rate": 0.00019999977252510803,
464
+ "loss": 0.5966,
465
+ "step": 64
466
+ },
467
+ {
468
+ "epoch": 0.005188688658723982,
469
+ "grad_norm": 0.4490356147289276,
470
+ "learning_rate": 0.00019999975894745988,
471
+ "loss": 0.6387,
472
+ "step": 65
473
+ },
474
+ {
475
+ "epoch": 0.005268514638088966,
476
+ "grad_norm": 0.5229705572128296,
477
+ "learning_rate": 0.00019999974497625738,
478
+ "loss": 0.622,
479
+ "step": 66
480
+ },
481
+ {
482
+ "epoch": 0.00534834061745395,
483
+ "grad_norm": 0.3769994080066681,
484
+ "learning_rate": 0.00019999973061150055,
485
+ "loss": 0.3879,
486
+ "step": 67
487
+ },
488
+ {
489
+ "epoch": 0.0054281665968189344,
490
+ "grad_norm": 0.41189664602279663,
491
+ "learning_rate": 0.00019999971585318944,
492
+ "loss": 0.5614,
493
+ "step": 68
494
+ },
495
+ {
496
+ "epoch": 0.005507992576183919,
497
+ "grad_norm": 0.4498278796672821,
498
+ "learning_rate": 0.00019999970070132413,
499
+ "loss": 0.488,
500
+ "step": 69
501
+ },
502
+ {
503
+ "epoch": 0.005587818555548903,
504
+ "grad_norm": 0.5084874629974365,
505
+ "learning_rate": 0.0001999996851559047,
506
+ "loss": 0.3836,
507
+ "step": 70
508
+ },
509
+ {
510
+ "epoch": 0.005667644534913888,
511
+ "grad_norm": 0.4059184193611145,
512
+ "learning_rate": 0.00019999966921693113,
513
+ "loss": 0.495,
514
+ "step": 71
515
+ },
516
+ {
517
+ "epoch": 0.005747470514278872,
518
+ "grad_norm": 0.39916181564331055,
519
+ "learning_rate": 0.0001999996528844036,
520
+ "loss": 0.4647,
521
+ "step": 72
522
+ },
523
+ {
524
+ "epoch": 0.005827296493643857,
525
+ "grad_norm": 0.3999392092227936,
526
+ "learning_rate": 0.00019999963615832206,
527
+ "loss": 0.4268,
528
+ "step": 73
529
+ },
530
+ {
531
+ "epoch": 0.00590712247300884,
532
+ "grad_norm": 0.4153369069099426,
533
+ "learning_rate": 0.00019999961903868665,
534
+ "loss": 0.3885,
535
+ "step": 74
536
+ },
537
+ {
538
+ "epoch": 0.005986948452373825,
539
+ "grad_norm": 0.4322861135005951,
540
+ "learning_rate": 0.0001999996015254974,
541
+ "loss": 0.427,
542
+ "step": 75
543
+ },
544
+ {
545
+ "epoch": 0.006066774431738809,
546
+ "grad_norm": 0.34602755308151245,
547
+ "learning_rate": 0.0001999995836187544,
548
+ "loss": 0.4477,
549
+ "step": 76
550
+ },
551
+ {
552
+ "epoch": 0.006146600411103794,
553
+ "grad_norm": 0.3948773443698883,
554
+ "learning_rate": 0.0001999995653184577,
555
+ "loss": 0.2908,
556
+ "step": 77
557
+ },
558
+ {
559
+ "epoch": 0.006226426390468778,
560
+ "grad_norm": 0.42778024077415466,
561
+ "learning_rate": 0.00019999954662460742,
562
+ "loss": 0.4993,
563
+ "step": 78
564
+ },
565
+ {
566
+ "epoch": 0.006306252369833763,
567
+ "grad_norm": 0.5211858749389648,
568
+ "learning_rate": 0.00019999952753720356,
569
+ "loss": 0.4678,
570
+ "step": 79
571
+ },
572
+ {
573
+ "epoch": 0.006386078349198747,
574
+ "grad_norm": 0.3613867461681366,
575
+ "learning_rate": 0.00019999950805624626,
576
+ "loss": 0.4381,
577
+ "step": 80
578
+ },
579
+ {
580
+ "epoch": 0.006465904328563731,
581
+ "grad_norm": 0.4412776529788971,
582
+ "learning_rate": 0.00019999948818173556,
583
+ "loss": 0.5391,
584
+ "step": 81
585
+ },
586
+ {
587
+ "epoch": 0.006545730307928715,
588
+ "grad_norm": 0.418983519077301,
589
+ "learning_rate": 0.00019999946791367156,
590
+ "loss": 0.4712,
591
+ "step": 82
592
+ },
593
+ {
594
+ "epoch": 0.0066255562872937,
595
+ "grad_norm": 0.5155718326568604,
596
+ "learning_rate": 0.00019999944725205431,
597
+ "loss": 0.5338,
598
+ "step": 83
599
+ },
600
+ {
601
+ "epoch": 0.006705382266658684,
602
+ "grad_norm": 0.324404776096344,
603
+ "learning_rate": 0.00019999942619688393,
604
+ "loss": 0.3691,
605
+ "step": 84
606
+ },
607
+ {
608
+ "epoch": 0.0067852082460236685,
609
+ "grad_norm": 0.33547988533973694,
610
+ "learning_rate": 0.0001999994047481605,
611
+ "loss": 0.3652,
612
+ "step": 85
613
+ },
614
+ {
615
+ "epoch": 0.006865034225388653,
616
+ "grad_norm": 0.4007713496685028,
617
+ "learning_rate": 0.00019999938290588402,
618
+ "loss": 0.4699,
619
+ "step": 86
620
+ },
621
+ {
622
+ "epoch": 0.006944860204753637,
623
+ "grad_norm": 0.3604133427143097,
624
+ "learning_rate": 0.0001999993606700547,
625
+ "loss": 0.4361,
626
+ "step": 87
627
+ },
628
+ {
629
+ "epoch": 0.007024686184118621,
630
+ "grad_norm": 0.4794510304927826,
631
+ "learning_rate": 0.00019999933804067254,
632
+ "loss": 0.5803,
633
+ "step": 88
634
+ },
635
+ {
636
+ "epoch": 0.0071045121634836055,
637
+ "grad_norm": 0.3699691891670227,
638
+ "learning_rate": 0.00019999931501773767,
639
+ "loss": 0.4867,
640
+ "step": 89
641
+ },
642
+ {
643
+ "epoch": 0.00718433814284859,
644
+ "grad_norm": 0.38762685656547546,
645
+ "learning_rate": 0.00019999929160125017,
646
+ "loss": 0.4184,
647
+ "step": 90
648
+ },
649
+ {
650
+ "epoch": 0.007264164122213574,
651
+ "grad_norm": 0.5109147429466248,
652
+ "learning_rate": 0.00019999926779121015,
653
+ "loss": 0.466,
654
+ "step": 91
655
+ },
656
+ {
657
+ "epoch": 0.007343990101578559,
658
+ "grad_norm": 0.4178380072116852,
659
+ "learning_rate": 0.00019999924358761768,
660
+ "loss": 0.5317,
661
+ "step": 92
662
+ },
663
+ {
664
+ "epoch": 0.007423816080943543,
665
+ "grad_norm": 0.49985650181770325,
666
+ "learning_rate": 0.00019999921899047286,
667
+ "loss": 0.5815,
668
+ "step": 93
669
+ },
670
+ {
671
+ "epoch": 0.007503642060308528,
672
+ "grad_norm": 0.39766451716423035,
673
+ "learning_rate": 0.00019999919399977576,
674
+ "loss": 0.4655,
675
+ "step": 94
676
+ },
677
+ {
678
+ "epoch": 0.007583468039673511,
679
+ "grad_norm": 0.48783499002456665,
680
+ "learning_rate": 0.0001999991686155265,
681
+ "loss": 0.5225,
682
+ "step": 95
683
+ },
684
+ {
685
+ "epoch": 0.007663294019038496,
686
+ "grad_norm": 0.4448859989643097,
687
+ "learning_rate": 0.00019999914283772526,
688
+ "loss": 0.3419,
689
+ "step": 96
690
+ },
691
+ {
692
+ "epoch": 0.00774311999840348,
693
+ "grad_norm": 0.4495418667793274,
694
+ "learning_rate": 0.000199999116666372,
695
+ "loss": 0.5079,
696
+ "step": 97
697
+ },
698
+ {
699
+ "epoch": 0.007822945977768465,
700
+ "grad_norm": 0.4888549745082855,
701
+ "learning_rate": 0.00019999909010146692,
702
+ "loss": 0.4751,
703
+ "step": 98
704
+ },
705
+ {
706
+ "epoch": 0.007902771957133448,
707
+ "grad_norm": 0.4711008071899414,
708
+ "learning_rate": 0.0001999990631430101,
709
+ "loss": 0.5702,
710
+ "step": 99
711
+ },
712
+ {
713
+ "epoch": 0.007982597936498434,
714
+ "grad_norm": 0.4134286344051361,
715
+ "learning_rate": 0.00019999903579100164,
716
+ "loss": 0.4196,
717
+ "step": 100
718
+ },
719
+ {
720
+ "epoch": 0.008062423915863417,
721
+ "grad_norm": 0.43762391805648804,
722
+ "learning_rate": 0.0001999990080454416,
723
+ "loss": 0.4576,
724
+ "step": 101
725
+ },
726
+ {
727
+ "epoch": 0.008142249895228403,
728
+ "grad_norm": 0.3857693076133728,
729
+ "learning_rate": 0.0001999989799063302,
730
+ "loss": 0.5379,
731
+ "step": 102
732
+ },
733
+ {
734
+ "epoch": 0.008222075874593386,
735
+ "grad_norm": 0.3583117425441742,
736
+ "learning_rate": 0.00019999895137366743,
737
+ "loss": 0.4803,
738
+ "step": 103
739
+ },
740
+ {
741
+ "epoch": 0.008301901853958371,
742
+ "grad_norm": 0.35127314925193787,
743
+ "learning_rate": 0.00019999892244745352,
744
+ "loss": 0.3879,
745
+ "step": 104
746
+ },
747
+ {
748
+ "epoch": 0.008381727833323355,
749
+ "grad_norm": 0.41990524530410767,
750
+ "learning_rate": 0.0001999988931276885,
751
+ "loss": 0.499,
752
+ "step": 105
753
+ },
754
+ {
755
+ "epoch": 0.008461553812688339,
756
+ "grad_norm": 0.4216882288455963,
757
+ "learning_rate": 0.00019999886341437253,
758
+ "loss": 0.5233,
759
+ "step": 106
760
+ },
761
+ {
762
+ "epoch": 0.008541379792053324,
763
+ "grad_norm": 0.37515565752983093,
764
+ "learning_rate": 0.00019999883330750569,
765
+ "loss": 0.4384,
766
+ "step": 107
767
+ },
768
+ {
769
+ "epoch": 0.008621205771418308,
770
+ "grad_norm": 0.4432523548603058,
771
+ "learning_rate": 0.00019999880280708812,
772
+ "loss": 0.6059,
773
+ "step": 108
774
+ },
775
+ {
776
+ "epoch": 0.008701031750783293,
777
+ "grad_norm": 0.33889615535736084,
778
+ "learning_rate": 0.0001999987719131199,
779
+ "loss": 0.5097,
780
+ "step": 109
781
+ },
782
+ {
783
+ "epoch": 0.008780857730148276,
784
+ "grad_norm": 0.3930656909942627,
785
+ "learning_rate": 0.00019999874062560124,
786
+ "loss": 0.4573,
787
+ "step": 110
788
+ },
789
+ {
790
+ "epoch": 0.008860683709513262,
791
+ "grad_norm": 0.6760386824607849,
792
+ "learning_rate": 0.00019999870894453218,
793
+ "loss": 0.6336,
794
+ "step": 111
795
+ },
796
+ {
797
+ "epoch": 0.008940509688878245,
798
+ "grad_norm": 0.33040305972099304,
799
+ "learning_rate": 0.0001999986768699129,
800
+ "loss": 0.4666,
801
+ "step": 112
802
+ },
803
+ {
804
+ "epoch": 0.009020335668243229,
805
+ "grad_norm": 0.40810972452163696,
806
+ "learning_rate": 0.0001999986444017435,
807
+ "loss": 0.4627,
808
+ "step": 113
809
+ },
810
+ {
811
+ "epoch": 0.009100161647608214,
812
+ "grad_norm": 0.43593883514404297,
813
+ "learning_rate": 0.00019999861154002408,
814
+ "loss": 0.4535,
815
+ "step": 114
816
+ },
817
+ {
818
+ "epoch": 0.009179987626973198,
819
+ "grad_norm": 0.3248092234134674,
820
+ "learning_rate": 0.00019999857828475483,
821
+ "loss": 0.334,
822
+ "step": 115
823
+ },
824
+ {
825
+ "epoch": 0.009259813606338183,
826
+ "grad_norm": 0.4773208796977997,
827
+ "learning_rate": 0.00019999854463593583,
828
+ "loss": 0.5818,
829
+ "step": 116
830
+ },
831
+ {
832
+ "epoch": 0.009339639585703167,
833
+ "grad_norm": 0.3909766674041748,
834
+ "learning_rate": 0.00019999851059356724,
835
+ "loss": 0.551,
836
+ "step": 117
837
+ },
838
+ {
839
+ "epoch": 0.009419465565068152,
840
+ "grad_norm": 0.3928094506263733,
841
+ "learning_rate": 0.00019999847615764918,
842
+ "loss": 0.4713,
843
+ "step": 118
844
+ },
845
+ {
846
+ "epoch": 0.009499291544433136,
847
+ "grad_norm": 0.39069411158561707,
848
+ "learning_rate": 0.00019999844132818182,
849
+ "loss": 0.5715,
850
+ "step": 119
851
+ },
852
+ {
853
+ "epoch": 0.00957911752379812,
854
+ "grad_norm": 0.43581992387771606,
855
+ "learning_rate": 0.00019999840610516523,
856
+ "loss": 0.3993,
857
+ "step": 120
858
+ },
859
+ {
860
+ "epoch": 0.009658943503163105,
861
+ "grad_norm": 0.3481132984161377,
862
+ "learning_rate": 0.0001999983704885996,
863
+ "loss": 0.6186,
864
+ "step": 121
865
+ },
866
+ {
867
+ "epoch": 0.009738769482528088,
868
+ "grad_norm": 0.4838206470012665,
869
+ "learning_rate": 0.00019999833447848506,
870
+ "loss": 0.5156,
871
+ "step": 122
872
+ },
873
+ {
874
+ "epoch": 0.009818595461893074,
875
+ "grad_norm": 0.4503454566001892,
876
+ "learning_rate": 0.00019999829807482175,
877
+ "loss": 0.4654,
878
+ "step": 123
879
+ },
880
+ {
881
+ "epoch": 0.009898421441258057,
882
+ "grad_norm": 0.5744187831878662,
883
+ "learning_rate": 0.00019999826127760982,
884
+ "loss": 0.5526,
885
+ "step": 124
886
+ },
887
+ {
888
+ "epoch": 0.009978247420623042,
889
+ "grad_norm": 0.41850605607032776,
890
+ "learning_rate": 0.0001999982240868494,
891
+ "loss": 0.5531,
892
+ "step": 125
893
+ },
894
+ {
895
+ "epoch": 0.010058073399988026,
896
+ "grad_norm": 0.4065703749656677,
897
+ "learning_rate": 0.00019999818650254063,
898
+ "loss": 0.4563,
899
+ "step": 126
900
+ },
901
+ {
902
+ "epoch": 0.01013789937935301,
903
+ "grad_norm": 0.4612256586551666,
904
+ "learning_rate": 0.0001999981485246837,
905
+ "loss": 0.5501,
906
+ "step": 127
907
+ },
908
+ {
909
+ "epoch": 0.010217725358717995,
910
+ "grad_norm": 0.5699310898780823,
911
+ "learning_rate": 0.00019999811015327873,
912
+ "loss": 0.4936,
913
+ "step": 128
914
+ },
915
+ {
916
+ "epoch": 0.010297551338082979,
917
+ "grad_norm": 0.3447057604789734,
918
+ "learning_rate": 0.0001999980713883258,
919
+ "loss": 0.3729,
920
+ "step": 129
921
+ },
922
+ {
923
+ "epoch": 0.010377377317447964,
924
+ "grad_norm": 0.6038820743560791,
925
+ "learning_rate": 0.0001999980322298252,
926
+ "loss": 0.7055,
927
+ "step": 130
928
+ },
929
+ {
930
+ "epoch": 0.010457203296812947,
931
+ "grad_norm": 0.418125718832016,
932
+ "learning_rate": 0.00019999799267777704,
933
+ "loss": 0.4982,
934
+ "step": 131
935
+ },
936
+ {
937
+ "epoch": 0.010537029276177933,
938
+ "grad_norm": 0.4340413510799408,
939
+ "learning_rate": 0.0001999979527321814,
940
+ "loss": 0.456,
941
+ "step": 132
942
+ },
943
+ {
944
+ "epoch": 0.010616855255542916,
945
+ "grad_norm": 0.41115614771842957,
946
+ "learning_rate": 0.00019999791239303853,
947
+ "loss": 0.5136,
948
+ "step": 133
949
+ },
950
+ {
951
+ "epoch": 0.0106966812349079,
952
+ "grad_norm": 0.34936976432800293,
953
+ "learning_rate": 0.00019999787166034854,
954
+ "loss": 0.3294,
955
+ "step": 134
956
+ },
957
+ {
958
+ "epoch": 0.010776507214272885,
959
+ "grad_norm": 0.4253373146057129,
960
+ "learning_rate": 0.0001999978305341116,
961
+ "loss": 0.4935,
962
+ "step": 135
963
+ },
964
+ {
965
+ "epoch": 0.010856333193637869,
966
+ "grad_norm": 0.953768789768219,
967
+ "learning_rate": 0.00019999778901432788,
968
+ "loss": 0.4692,
969
+ "step": 136
970
+ },
971
+ {
972
+ "epoch": 0.010936159173002854,
973
+ "grad_norm": 0.4897603392601013,
974
+ "learning_rate": 0.0001999977471009975,
975
+ "loss": 0.5034,
976
+ "step": 137
977
+ },
978
+ {
979
+ "epoch": 0.011015985152367838,
980
+ "grad_norm": 0.710496187210083,
981
+ "learning_rate": 0.0001999977047941207,
982
+ "loss": 0.4708,
983
+ "step": 138
984
+ },
985
+ {
986
+ "epoch": 0.011095811131732823,
987
+ "grad_norm": 0.3537067174911499,
988
+ "learning_rate": 0.0001999976620936976,
989
+ "loss": 0.4012,
990
+ "step": 139
991
+ },
992
+ {
993
+ "epoch": 0.011175637111097807,
994
+ "grad_norm": 0.6554028987884521,
995
+ "learning_rate": 0.00019999761899972836,
996
+ "loss": 0.4493,
997
+ "step": 140
998
+ },
999
+ {
1000
+ "epoch": 0.01125546309046279,
1001
+ "grad_norm": 0.3419398069381714,
1002
+ "learning_rate": 0.00019999757551221315,
1003
+ "loss": 0.3197,
1004
+ "step": 141
1005
+ },
1006
+ {
1007
+ "epoch": 0.011335289069827776,
1008
+ "grad_norm": 0.5509824156761169,
1009
+ "learning_rate": 0.0001999975316311522,
1010
+ "loss": 0.5036,
1011
+ "step": 142
1012
+ },
1013
+ {
1014
+ "epoch": 0.01141511504919276,
1015
+ "grad_norm": 0.3651215136051178,
1016
+ "learning_rate": 0.00019999748735654565,
1017
+ "loss": 0.4805,
1018
+ "step": 143
1019
+ },
1020
+ {
1021
+ "epoch": 0.011494941028557745,
1022
+ "grad_norm": 0.45155274868011475,
1023
+ "learning_rate": 0.0001999974426883936,
1024
+ "loss": 0.5689,
1025
+ "step": 144
1026
+ },
1027
+ {
1028
+ "epoch": 0.011574767007922728,
1029
+ "grad_norm": 0.39543208479881287,
1030
+ "learning_rate": 0.00019999739762669634,
1031
+ "loss": 0.4676,
1032
+ "step": 145
1033
+ },
1034
+ {
1035
+ "epoch": 0.011654592987287713,
1036
+ "grad_norm": 0.41634100675582886,
1037
+ "learning_rate": 0.00019999735217145396,
1038
+ "loss": 0.3764,
1039
+ "step": 146
1040
+ },
1041
+ {
1042
+ "epoch": 0.011734418966652697,
1043
+ "grad_norm": 0.41329681873321533,
1044
+ "learning_rate": 0.00019999730632266668,
1045
+ "loss": 0.4684,
1046
+ "step": 147
1047
+ },
1048
+ {
1049
+ "epoch": 0.01181424494601768,
1050
+ "grad_norm": 0.46196430921554565,
1051
+ "learning_rate": 0.00019999726008033473,
1052
+ "loss": 0.5029,
1053
+ "step": 148
1054
+ },
1055
+ {
1056
+ "epoch": 0.011894070925382666,
1057
+ "grad_norm": 0.39667192101478577,
1058
+ "learning_rate": 0.0001999972134444582,
1059
+ "loss": 0.5727,
1060
+ "step": 149
1061
+ },
1062
+ {
1063
+ "epoch": 0.01197389690474765,
1064
+ "grad_norm": 0.5304478406906128,
1065
+ "learning_rate": 0.00019999716641503728,
1066
+ "loss": 0.5028,
1067
+ "step": 150
1068
+ },
1069
+ {
1070
+ "epoch": 0.012053722884112635,
1071
+ "grad_norm": 0.45046842098236084,
1072
+ "learning_rate": 0.00019999711899207223,
1073
+ "loss": 0.4463,
1074
+ "step": 151
1075
+ },
1076
+ {
1077
+ "epoch": 0.012133548863477618,
1078
+ "grad_norm": 0.3761225938796997,
1079
+ "learning_rate": 0.00019999707117556315,
1080
+ "loss": 0.4575,
1081
+ "step": 152
1082
+ },
1083
+ {
1084
+ "epoch": 0.012213374842842604,
1085
+ "grad_norm": 0.431652694940567,
1086
+ "learning_rate": 0.00019999702296551032,
1087
+ "loss": 0.5657,
1088
+ "step": 153
1089
+ },
1090
+ {
1091
+ "epoch": 0.012293200822207587,
1092
+ "grad_norm": 0.41577762365341187,
1093
+ "learning_rate": 0.00019999697436191385,
1094
+ "loss": 0.5801,
1095
+ "step": 154
1096
+ },
1097
+ {
1098
+ "epoch": 0.012373026801572571,
1099
+ "grad_norm": 0.5159163475036621,
1100
+ "learning_rate": 0.00019999692536477396,
1101
+ "loss": 0.5583,
1102
+ "step": 155
1103
+ },
1104
+ {
1105
+ "epoch": 0.012452852780937556,
1106
+ "grad_norm": 0.5098326206207275,
1107
+ "learning_rate": 0.00019999687597409084,
1108
+ "loss": 0.5363,
1109
+ "step": 156
1110
+ },
1111
+ {
1112
+ "epoch": 0.01253267876030254,
1113
+ "grad_norm": 0.37459591031074524,
1114
+ "learning_rate": 0.00019999682618986473,
1115
+ "loss": 0.5337,
1116
+ "step": 157
1117
+ },
1118
+ {
1119
+ "epoch": 0.012612504739667525,
1120
+ "grad_norm": 0.4354023337364197,
1121
+ "learning_rate": 0.00019999677601209576,
1122
+ "loss": 0.4784,
1123
+ "step": 158
1124
+ },
1125
+ {
1126
+ "epoch": 0.012692330719032509,
1127
+ "grad_norm": 0.3902154266834259,
1128
+ "learning_rate": 0.00019999672544078413,
1129
+ "loss": 0.3685,
1130
+ "step": 159
1131
+ },
1132
+ {
1133
+ "epoch": 0.012772156698397494,
1134
+ "grad_norm": 0.5335967540740967,
1135
+ "learning_rate": 0.0001999966744759301,
1136
+ "loss": 0.6618,
1137
+ "step": 160
1138
+ },
1139
+ {
1140
+ "epoch": 0.012851982677762478,
1141
+ "grad_norm": 0.46829479932785034,
1142
+ "learning_rate": 0.0001999966231175338,
1143
+ "loss": 0.4813,
1144
+ "step": 161
1145
+ },
1146
+ {
1147
+ "epoch": 0.012931808657127461,
1148
+ "grad_norm": 0.4770427644252777,
1149
+ "learning_rate": 0.0001999965713655955,
1150
+ "loss": 0.3673,
1151
+ "step": 162
1152
+ },
1153
+ {
1154
+ "epoch": 0.013011634636492447,
1155
+ "grad_norm": 0.43711262941360474,
1156
+ "learning_rate": 0.00019999651922011534,
1157
+ "loss": 0.5659,
1158
+ "step": 163
1159
+ },
1160
+ {
1161
+ "epoch": 0.01309146061585743,
1162
+ "grad_norm": 0.35760849714279175,
1163
+ "learning_rate": 0.00019999646668109356,
1164
+ "loss": 0.3083,
1165
+ "step": 164
1166
+ },
1167
+ {
1168
+ "epoch": 0.013171286595222416,
1169
+ "grad_norm": 0.5012556910514832,
1170
+ "learning_rate": 0.00019999641374853036,
1171
+ "loss": 0.5947,
1172
+ "step": 165
1173
+ },
1174
+ {
1175
+ "epoch": 0.0132511125745874,
1176
+ "grad_norm": 1.034009337425232,
1177
+ "learning_rate": 0.00019999636042242595,
1178
+ "loss": 0.4826,
1179
+ "step": 166
1180
+ },
1181
+ {
1182
+ "epoch": 0.013330938553952384,
1183
+ "grad_norm": 0.4241684675216675,
1184
+ "learning_rate": 0.00019999630670278052,
1185
+ "loss": 0.507,
1186
+ "step": 167
1187
+ },
1188
+ {
1189
+ "epoch": 0.013410764533317368,
1190
+ "grad_norm": 0.6414814591407776,
1191
+ "learning_rate": 0.00019999625258959434,
1192
+ "loss": 0.6684,
1193
+ "step": 168
1194
+ },
1195
+ {
1196
+ "epoch": 0.013490590512682352,
1197
+ "grad_norm": 0.56517493724823,
1198
+ "learning_rate": 0.00019999619808286755,
1199
+ "loss": 0.4408,
1200
+ "step": 169
1201
+ },
1202
+ {
1203
+ "epoch": 0.013570416492047337,
1204
+ "grad_norm": 0.43821126222610474,
1205
+ "learning_rate": 0.00019999614318260043,
1206
+ "loss": 0.5258,
1207
+ "step": 170
1208
+ },
1209
+ {
1210
+ "epoch": 0.01365024247141232,
1211
+ "grad_norm": 0.4854287803173065,
1212
+ "learning_rate": 0.00019999608788879311,
1213
+ "loss": 0.5077,
1214
+ "step": 171
1215
+ },
1216
+ {
1217
+ "epoch": 0.013730068450777306,
1218
+ "grad_norm": 0.46524420380592346,
1219
+ "learning_rate": 0.0001999960322014459,
1220
+ "loss": 0.5869,
1221
+ "step": 172
1222
+ },
1223
+ {
1224
+ "epoch": 0.01380989443014229,
1225
+ "grad_norm": 0.5089438557624817,
1226
+ "learning_rate": 0.000199995976120559,
1227
+ "loss": 0.5245,
1228
+ "step": 173
1229
+ },
1230
+ {
1231
+ "epoch": 0.013889720409507275,
1232
+ "grad_norm": 0.623849630355835,
1233
+ "learning_rate": 0.00019999591964613256,
1234
+ "loss": 0.5839,
1235
+ "step": 174
1236
+ },
1237
+ {
1238
+ "epoch": 0.013969546388872258,
1239
+ "grad_norm": 0.6017373204231262,
1240
+ "learning_rate": 0.00019999586277816687,
1241
+ "loss": 0.5344,
1242
+ "step": 175
1243
+ },
1244
+ {
1245
+ "epoch": 0.014049372368237242,
1246
+ "grad_norm": 0.5433600544929504,
1247
+ "learning_rate": 0.00019999580551666215,
1248
+ "loss": 0.5068,
1249
+ "step": 176
1250
+ },
1251
+ {
1252
+ "epoch": 0.014129198347602227,
1253
+ "grad_norm": 0.42345139384269714,
1254
+ "learning_rate": 0.00019999574786161862,
1255
+ "loss": 0.4692,
1256
+ "step": 177
1257
+ },
1258
+ {
1259
+ "epoch": 0.014209024326967211,
1260
+ "grad_norm": 0.4489782154560089,
1261
+ "learning_rate": 0.00019999568981303646,
1262
+ "loss": 0.4773,
1263
+ "step": 178
1264
+ },
1265
+ {
1266
+ "epoch": 0.014288850306332196,
1267
+ "grad_norm": 0.5150318145751953,
1268
+ "learning_rate": 0.00019999563137091598,
1269
+ "loss": 0.476,
1270
+ "step": 179
1271
+ },
1272
+ {
1273
+ "epoch": 0.01436867628569718,
1274
+ "grad_norm": 0.43261510133743286,
1275
+ "learning_rate": 0.00019999557253525733,
1276
+ "loss": 0.624,
1277
+ "step": 180
1278
+ },
1279
+ {
1280
+ "epoch": 0.014448502265062165,
1281
+ "grad_norm": 0.5488516092300415,
1282
+ "learning_rate": 0.00019999551330606078,
1283
+ "loss": 0.5521,
1284
+ "step": 181
1285
+ },
1286
+ {
1287
+ "epoch": 0.014528328244427149,
1288
+ "grad_norm": 0.3631516098976135,
1289
+ "learning_rate": 0.0001999954536833266,
1290
+ "loss": 0.5664,
1291
+ "step": 182
1292
+ },
1293
+ {
1294
+ "epoch": 0.014608154223792132,
1295
+ "grad_norm": 0.5660406947135925,
1296
+ "learning_rate": 0.00019999539366705497,
1297
+ "loss": 0.5762,
1298
+ "step": 183
1299
+ },
1300
+ {
1301
+ "epoch": 0.014687980203157118,
1302
+ "grad_norm": 0.573652982711792,
1303
+ "learning_rate": 0.00019999533325724614,
1304
+ "loss": 0.4972,
1305
+ "step": 184
1306
+ },
1307
+ {
1308
+ "epoch": 0.014767806182522101,
1309
+ "grad_norm": 0.4937921464443207,
1310
+ "learning_rate": 0.00019999527245390035,
1311
+ "loss": 0.5381,
1312
+ "step": 185
1313
+ },
1314
+ {
1315
+ "epoch": 0.014847632161887087,
1316
+ "grad_norm": 0.4351513385772705,
1317
+ "learning_rate": 0.00019999521125701783,
1318
+ "loss": 0.5155,
1319
+ "step": 186
1320
+ },
1321
+ {
1322
+ "epoch": 0.01492745814125207,
1323
+ "grad_norm": 0.34618648886680603,
1324
+ "learning_rate": 0.00019999514966659882,
1325
+ "loss": 0.3974,
1326
+ "step": 187
1327
+ },
1328
+ {
1329
+ "epoch": 0.015007284120617055,
1330
+ "grad_norm": 0.3626372218132019,
1331
+ "learning_rate": 0.0001999950876826436,
1332
+ "loss": 0.3608,
1333
+ "step": 188
1334
+ },
1335
+ {
1336
+ "epoch": 0.015087110099982039,
1337
+ "grad_norm": 0.5802507996559143,
1338
+ "learning_rate": 0.00019999502530515238,
1339
+ "loss": 0.4703,
1340
+ "step": 189
1341
+ },
1342
+ {
1343
+ "epoch": 0.015166936079347023,
1344
+ "grad_norm": 0.4644535481929779,
1345
+ "learning_rate": 0.00019999496253412543,
1346
+ "loss": 0.4354,
1347
+ "step": 190
1348
+ },
1349
+ {
1350
+ "epoch": 0.015246762058712008,
1351
+ "grad_norm": 0.37288615107536316,
1352
+ "learning_rate": 0.00019999489936956298,
1353
+ "loss": 0.4624,
1354
+ "step": 191
1355
+ },
1356
+ {
1357
+ "epoch": 0.015326588038076992,
1358
+ "grad_norm": 0.4151481091976166,
1359
+ "learning_rate": 0.00019999483581146523,
1360
+ "loss": 0.405,
1361
+ "step": 192
1362
+ },
1363
+ {
1364
+ "epoch": 0.015406414017441977,
1365
+ "grad_norm": 0.38800281286239624,
1366
+ "learning_rate": 0.0001999947718598325,
1367
+ "loss": 0.5023,
1368
+ "step": 193
1369
+ },
1370
+ {
1371
+ "epoch": 0.01548623999680696,
1372
+ "grad_norm": 0.394400030374527,
1373
+ "learning_rate": 0.00019999470751466504,
1374
+ "loss": 0.6128,
1375
+ "step": 194
1376
+ },
1377
+ {
1378
+ "epoch": 0.015566065976171946,
1379
+ "grad_norm": 0.48949894309043884,
1380
+ "learning_rate": 0.00019999464277596307,
1381
+ "loss": 0.4574,
1382
+ "step": 195
1383
+ },
1384
+ {
1385
+ "epoch": 0.01564589195553693,
1386
+ "grad_norm": 0.4290977716445923,
1387
+ "learning_rate": 0.00019999457764372687,
1388
+ "loss": 0.5009,
1389
+ "step": 196
1390
+ },
1391
+ {
1392
+ "epoch": 0.015725717934901913,
1393
+ "grad_norm": 0.5243070721626282,
1394
+ "learning_rate": 0.00019999451211795668,
1395
+ "loss": 0.3696,
1396
+ "step": 197
1397
+ },
1398
+ {
1399
+ "epoch": 0.015805543914266897,
1400
+ "grad_norm": 0.5894675850868225,
1401
+ "learning_rate": 0.00019999444619865276,
1402
+ "loss": 0.5897,
1403
+ "step": 198
1404
+ },
1405
+ {
1406
+ "epoch": 0.015885369893631884,
1407
+ "grad_norm": 0.3214614987373352,
1408
+ "learning_rate": 0.00019999437988581535,
1409
+ "loss": 0.3502,
1410
+ "step": 199
1411
+ },
1412
+ {
1413
+ "epoch": 0.015965195872996867,
1414
+ "grad_norm": 0.42068052291870117,
1415
+ "learning_rate": 0.00019999431317944475,
1416
+ "loss": 0.6079,
1417
+ "step": 200
1418
+ },
1419
+ {
1420
+ "epoch": 0.015965195872996867,
1421
+ "eval_loss": 0.48710426688194275,
1422
+ "eval_runtime": 34.115,
1423
+ "eval_samples_per_second": 7.387,
1424
+ "eval_steps_per_second": 7.387,
1425
+ "step": 200
1426
+ }
1427
+ ],
1428
+ "logging_steps": 1,
1429
+ "max_steps": 50108,
1430
+ "num_input_tokens_seen": 0,
1431
+ "num_train_epochs": 4,
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": 1.003600228122624e+16,
1455
+ "train_batch_size": 1,
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:b4b828da2213b3921a3d64e28255ff281633a5fab3de1cdbdcc0a56a84d9f94a
3
+ size 6776