whiteapple8222 commited on
Commit
dbeda6a
·
verified ·
1 Parent(s): 50631df

Training in progress, step 150, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: katuni4ka/tiny-random-dbrx
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 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "katuni4ka/tiny-random-dbrx",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "Wqkv",
24
+ "layer",
25
+ "out_proj"
26
+ ],
27
+ "task_type": "CAUSAL_LM",
28
+ "use_dora": false,
29
+ "use_rslora": false
30
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bde0909f59febea048b0ee3650ebd018c523a81cc85ce191f7bcec130271dcd9
3
+ size 5752
last-checkpoint/added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<|im_end|>": 100279,
3
+ "<|im_start|>": 100278
4
+ }
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 sha256:7bf496f678bc626ff6d3915e6bf19c87a148a25b82009c6e7dad568f4f694843
3
+ size 15814
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f21454591fe9e608de3ae4bb9afc72817b0d018a9a6151bd757d892eea4334f0
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b005d0b4552ae80a8f61c62d752f014caa57bb48adb1e675ddab90b214253e10
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<|pad|>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<|endoftext|>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
last-checkpoint/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,205 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "100256": {
5
+ "content": "<||_unused_0_||>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "100257": {
13
+ "content": "<|endoftext|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "100258": {
21
+ "content": "<|fim_prefix|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "100259": {
29
+ "content": "<|fim_middle|>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "100260": {
37
+ "content": "<|fim_suffix|>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "100261": {
45
+ "content": "<||_unused_1_||>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "100262": {
53
+ "content": "<||_unused_2_||>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "100263": {
61
+ "content": "<||_unused_3_||>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "100264": {
69
+ "content": "<||_unused_4_||>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "100265": {
77
+ "content": "<||_unused_5_||>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "100266": {
85
+ "content": "<||_unused_6_||>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "100267": {
93
+ "content": "<||_unused_7_||>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "100268": {
101
+ "content": "<||_unused_8_||>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "100269": {
109
+ "content": "<||_unused_9_||>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "100270": {
117
+ "content": "<||_unused_10_||>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "100271": {
125
+ "content": "<||_unused_11_||>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "100272": {
133
+ "content": "<||_unused_12_||>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ },
140
+ "100273": {
141
+ "content": "<||_unused_13_||>",
142
+ "lstrip": false,
143
+ "normalized": false,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": true
147
+ },
148
+ "100274": {
149
+ "content": "<||_unused_14_||>",
150
+ "lstrip": false,
151
+ "normalized": false,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": true
155
+ },
156
+ "100275": {
157
+ "content": "<||_unused_15_||>",
158
+ "lstrip": false,
159
+ "normalized": false,
160
+ "rstrip": false,
161
+ "single_word": false,
162
+ "special": true
163
+ },
164
+ "100276": {
165
+ "content": "<|endofprompt|>",
166
+ "lstrip": false,
167
+ "normalized": false,
168
+ "rstrip": false,
169
+ "single_word": false,
170
+ "special": true
171
+ },
172
+ "100277": {
173
+ "content": "<|pad|>",
174
+ "lstrip": false,
175
+ "normalized": false,
176
+ "rstrip": false,
177
+ "single_word": false,
178
+ "special": true
179
+ },
180
+ "100278": {
181
+ "content": "<|im_start|>",
182
+ "lstrip": false,
183
+ "normalized": false,
184
+ "rstrip": false,
185
+ "single_word": false,
186
+ "special": true
187
+ },
188
+ "100279": {
189
+ "content": "<|im_end|>",
190
+ "lstrip": false,
191
+ "normalized": false,
192
+ "rstrip": false,
193
+ "single_word": false,
194
+ "special": true
195
+ }
196
+ },
197
+ "bos_token": "<|endoftext|>",
198
+ "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 %}",
199
+ "clean_up_tokenization_spaces": true,
200
+ "eos_token": "<|endoftext|>",
201
+ "model_max_length": 32768,
202
+ "pad_token": "<|pad|>",
203
+ "tokenizer_class": "GPT2Tokenizer",
204
+ "unk_token": "<|endoftext|>"
205
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,1083 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.024155561818108618,
5
+ "eval_steps": 500,
6
+ "global_step": 150,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0001610370787873908,
13
+ "grad_norm": 9.459293323743623e-06,
14
+ "learning_rate": 2e-05,
15
+ "loss": 46.0,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0003220741575747816,
20
+ "grad_norm": 1.8449256458552554e-05,
21
+ "learning_rate": 4e-05,
22
+ "loss": 46.0,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.0004831112363621724,
27
+ "grad_norm": 1.7989095795201138e-05,
28
+ "learning_rate": 6e-05,
29
+ "loss": 46.0,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.0006441483151495632,
34
+ "grad_norm": 1.1759363587771077e-05,
35
+ "learning_rate": 8e-05,
36
+ "loss": 46.0,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.000805185393936954,
41
+ "grad_norm": 1.139960022555897e-05,
42
+ "learning_rate": 0.0001,
43
+ "loss": 46.0,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.0009662224727243448,
48
+ "grad_norm": 1.4804975762672257e-05,
49
+ "learning_rate": 0.00012,
50
+ "loss": 46.0,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.0011272595515117356,
55
+ "grad_norm": 2.1032992663094774e-05,
56
+ "learning_rate": 0.00014,
57
+ "loss": 46.0,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.0012882966302991264,
62
+ "grad_norm": 1.5429051927640103e-05,
63
+ "learning_rate": 0.00016,
64
+ "loss": 46.0,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.001449333709086517,
69
+ "grad_norm": 1.1477978659968358e-05,
70
+ "learning_rate": 0.00018,
71
+ "loss": 46.0,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.001610370787873908,
76
+ "grad_norm": 1.7123571524280123e-05,
77
+ "learning_rate": 0.0002,
78
+ "loss": 46.0,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.0017714078666612987,
83
+ "grad_norm": 1.0772208952403162e-05,
84
+ "learning_rate": 0.00019999999999998722,
85
+ "loss": 46.0,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.0019324449454486896,
90
+ "grad_norm": 9.808137292566244e-06,
91
+ "learning_rate": 0.0001999999999999488,
92
+ "loss": 46.0,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.0020934820242360804,
97
+ "grad_norm": 1.8400718545308337e-05,
98
+ "learning_rate": 0.00019999999999988484,
99
+ "loss": 46.0,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.0022545191030234712,
104
+ "grad_norm": 2.247749398520682e-05,
105
+ "learning_rate": 0.00019999999999979523,
106
+ "loss": 46.0,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.002415556181810862,
111
+ "grad_norm": 1.1134417945868336e-05,
112
+ "learning_rate": 0.0001999999999996801,
113
+ "loss": 46.0,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.002576593260598253,
118
+ "grad_norm": 1.4492045920633245e-05,
119
+ "learning_rate": 0.0001999999999995393,
120
+ "loss": 46.0,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.0027376303393856437,
125
+ "grad_norm": 1.4358376574818976e-05,
126
+ "learning_rate": 0.00019999999999937293,
127
+ "loss": 46.0,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.002898667418173034,
132
+ "grad_norm": 1.1229038136661984e-05,
133
+ "learning_rate": 0.00019999999999918098,
134
+ "loss": 46.0,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.003059704496960425,
139
+ "grad_norm": 1.850031731009949e-05,
140
+ "learning_rate": 0.0001999999999989634,
141
+ "loss": 46.0,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.003220741575747816,
146
+ "grad_norm": 1.7780901544028893e-05,
147
+ "learning_rate": 0.00019999999999872027,
148
+ "loss": 46.0,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.0033817786545352066,
153
+ "grad_norm": 1.23179188449285e-05,
154
+ "learning_rate": 0.00019999999999845152,
155
+ "loss": 46.0,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.0035428157333225975,
160
+ "grad_norm": 1.1472806363599375e-05,
161
+ "learning_rate": 0.00019999999999815716,
162
+ "loss": 46.0,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.0037038528121099883,
167
+ "grad_norm": 9.506068636255804e-06,
168
+ "learning_rate": 0.00019999999999783724,
169
+ "loss": 46.0,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.003864889890897379,
174
+ "grad_norm": 1.6990292351692915e-05,
175
+ "learning_rate": 0.0001999999999974917,
176
+ "loss": 46.0,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.00402592696968477,
181
+ "grad_norm": 1.920577051350847e-05,
182
+ "learning_rate": 0.00019999999999712059,
183
+ "loss": 46.0,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.004186964048472161,
188
+ "grad_norm": 1.57214544742601e-05,
189
+ "learning_rate": 0.00019999999999672388,
190
+ "loss": 46.0,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.004348001127259552,
195
+ "grad_norm": 2.9738939701928757e-05,
196
+ "learning_rate": 0.00019999999999630155,
197
+ "loss": 46.0,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.0045090382060469425,
202
+ "grad_norm": 1.2327154763625003e-05,
203
+ "learning_rate": 0.00019999999999585364,
204
+ "loss": 46.0,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.004670075284834333,
209
+ "grad_norm": 1.3533114724850748e-05,
210
+ "learning_rate": 0.00019999999999538014,
211
+ "loss": 46.0,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.004831112363621724,
216
+ "grad_norm": 1.5398421965073794e-05,
217
+ "learning_rate": 0.00019999999999488103,
218
+ "loss": 46.0,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.004992149442409115,
223
+ "grad_norm": 1.6816700735944323e-05,
224
+ "learning_rate": 0.00019999999999435636,
225
+ "loss": 46.0,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.005153186521196506,
230
+ "grad_norm": 1.3670231965079438e-05,
231
+ "learning_rate": 0.00019999999999380604,
232
+ "loss": 46.0,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.005314223599983897,
237
+ "grad_norm": 1.3132093954482116e-05,
238
+ "learning_rate": 0.00019999999999323017,
239
+ "loss": 46.0,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.0054752606787712875,
244
+ "grad_norm": 2.7774303816840984e-05,
245
+ "learning_rate": 0.00019999999999262868,
246
+ "loss": 46.0,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.005636297757558678,
251
+ "grad_norm": 2.077547469525598e-05,
252
+ "learning_rate": 0.0001999999999920016,
253
+ "loss": 46.0,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.005797334836346068,
258
+ "grad_norm": 1.980315391847398e-05,
259
+ "learning_rate": 0.00019999999999134892,
260
+ "loss": 46.0,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.005958371915133459,
265
+ "grad_norm": 2.2662210540147498e-05,
266
+ "learning_rate": 0.00019999999999067067,
267
+ "loss": 46.0,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.00611940899392085,
272
+ "grad_norm": 2.1207339159445837e-05,
273
+ "learning_rate": 0.00019999999998996683,
274
+ "loss": 46.0,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.006280446072708241,
279
+ "grad_norm": 1.7205984477186576e-05,
280
+ "learning_rate": 0.00019999999998923738,
281
+ "loss": 46.0,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.006441483151495632,
286
+ "grad_norm": 2.1629894035868347e-05,
287
+ "learning_rate": 0.00019999999998848234,
288
+ "loss": 46.0,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.006602520230283022,
293
+ "grad_norm": 2.7965374101768248e-05,
294
+ "learning_rate": 0.00019999999998770166,
295
+ "loss": 46.0,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.006763557309070413,
300
+ "grad_norm": 2.5096620447584428e-05,
301
+ "learning_rate": 0.00019999999998689542,
302
+ "loss": 46.0,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.006924594387857804,
307
+ "grad_norm": 3.5594304790720344e-05,
308
+ "learning_rate": 0.0001999999999860636,
309
+ "loss": 46.0,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.007085631466645195,
314
+ "grad_norm": 3.1788349588168785e-05,
315
+ "learning_rate": 0.00019999999998520618,
316
+ "loss": 46.0,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.007246668545432586,
321
+ "grad_norm": 2.8515927624539472e-05,
322
+ "learning_rate": 0.00019999999998432315,
323
+ "loss": 46.0,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.007407705624219977,
328
+ "grad_norm": 2.7847892852150835e-05,
329
+ "learning_rate": 0.0001999999999834145,
330
+ "loss": 46.0,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.007568742703007367,
335
+ "grad_norm": 3.0626124498667195e-05,
336
+ "learning_rate": 0.00019999999998248033,
337
+ "loss": 46.0,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.007729779781794758,
342
+ "grad_norm": 2.7933489036513492e-05,
343
+ "learning_rate": 0.00019999999998152052,
344
+ "loss": 46.0,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.007890816860582149,
349
+ "grad_norm": 3.10891009576153e-05,
350
+ "learning_rate": 0.0001999999999805351,
351
+ "loss": 46.0,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.00805185393936954,
356
+ "grad_norm": 1.9566661649150774e-05,
357
+ "learning_rate": 0.00019999999997952412,
358
+ "loss": 46.0,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.00821289101815693,
363
+ "grad_norm": 5.5264958064071834e-05,
364
+ "learning_rate": 0.00019999999997848754,
365
+ "loss": 46.0,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.008373928096944322,
370
+ "grad_norm": 2.4125354684656486e-05,
371
+ "learning_rate": 0.00019999999997742532,
372
+ "loss": 46.0,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.008534965175731712,
377
+ "grad_norm": 3.317361915833317e-05,
378
+ "learning_rate": 0.00019999999997633757,
379
+ "loss": 46.0,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.008696002254519103,
384
+ "grad_norm": 3.8641785067738965e-05,
385
+ "learning_rate": 0.00019999999997522417,
386
+ "loss": 46.0,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.008857039333306494,
391
+ "grad_norm": 1.588473423907999e-05,
392
+ "learning_rate": 0.0001999999999740852,
393
+ "loss": 46.0,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.009018076412093885,
398
+ "grad_norm": 3.6028392059961334e-05,
399
+ "learning_rate": 0.00019999999997292065,
400
+ "loss": 46.0,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.009179113490881276,
405
+ "grad_norm": 3.70649722754024e-05,
406
+ "learning_rate": 0.0001999999999717305,
407
+ "loss": 46.0,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.009340150569668667,
412
+ "grad_norm": 3.086036304011941e-05,
413
+ "learning_rate": 0.0001999999999705147,
414
+ "loss": 46.0,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.009501187648456057,
419
+ "grad_norm": 3.073871630476788e-05,
420
+ "learning_rate": 0.00019999999996927337,
421
+ "loss": 46.0,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.009662224727243448,
426
+ "grad_norm": 5.74203186261002e-05,
427
+ "learning_rate": 0.00019999999996800642,
428
+ "loss": 46.0,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.009823261806030839,
433
+ "grad_norm": 1.878445800684858e-05,
434
+ "learning_rate": 0.0001999999999667139,
435
+ "loss": 46.0,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.00998429888481823,
440
+ "grad_norm": 3.903669130522758e-05,
441
+ "learning_rate": 0.00019999999996539575,
442
+ "loss": 46.0,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.01014533596360562,
447
+ "grad_norm": 6.173171277623624e-05,
448
+ "learning_rate": 0.000199999999964052,
449
+ "loss": 46.0,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.010306373042393012,
454
+ "grad_norm": 3.220455255359411e-05,
455
+ "learning_rate": 0.0001999999999626827,
456
+ "loss": 46.0,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.010467410121180402,
461
+ "grad_norm": 6.513421976706013e-05,
462
+ "learning_rate": 0.00019999999996128778,
463
+ "loss": 46.0,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.010628447199967793,
468
+ "grad_norm": 4.503427044255659e-05,
469
+ "learning_rate": 0.00019999999995986726,
470
+ "loss": 46.0,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.010789484278755184,
475
+ "grad_norm": 5.680751200998202e-05,
476
+ "learning_rate": 0.00019999999995842113,
477
+ "loss": 46.0,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.010950521357542575,
482
+ "grad_norm": 5.3842857596464455e-05,
483
+ "learning_rate": 0.00019999999995694943,
484
+ "loss": 46.0,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.011111558436329966,
489
+ "grad_norm": 3.435022517805919e-05,
490
+ "learning_rate": 0.00019999999995545212,
491
+ "loss": 46.0,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.011272595515117357,
496
+ "grad_norm": 4.8579728172626346e-05,
497
+ "learning_rate": 0.00019999999995392925,
498
+ "loss": 46.0,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.011433632593904747,
503
+ "grad_norm": 6.448462227126583e-05,
504
+ "learning_rate": 0.00019999999995238077,
505
+ "loss": 46.0,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.011594669672692137,
510
+ "grad_norm": 3.0377606890397146e-05,
511
+ "learning_rate": 0.00019999999995080667,
512
+ "loss": 46.0,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.011755706751479527,
517
+ "grad_norm": 4.2671086703194305e-05,
518
+ "learning_rate": 0.000199999999949207,
519
+ "loss": 46.0,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.011916743830266918,
524
+ "grad_norm": 5.8799378166440874e-05,
525
+ "learning_rate": 0.0001999999999475817,
526
+ "loss": 46.0,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.012077780909054309,
531
+ "grad_norm": 3.1305702577810735e-05,
532
+ "learning_rate": 0.00019999999994593085,
533
+ "loss": 46.0,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.0122388179878417,
538
+ "grad_norm": 4.199046816211194e-05,
539
+ "learning_rate": 0.00019999999994425437,
540
+ "loss": 46.0,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.01239985506662909,
545
+ "grad_norm": 4.404900028021075e-05,
546
+ "learning_rate": 0.0001999999999425523,
547
+ "loss": 46.0,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.012560892145416482,
552
+ "grad_norm": 4.4940319639863446e-05,
553
+ "learning_rate": 0.0001999999999408247,
554
+ "loss": 46.0,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 0.012721929224203872,
559
+ "grad_norm": 5.616362614091486e-05,
560
+ "learning_rate": 0.00019999999993907143,
561
+ "loss": 46.0,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 0.012882966302991263,
566
+ "grad_norm": 4.128489672439173e-05,
567
+ "learning_rate": 0.00019999999993729257,
568
+ "loss": 46.0,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 0.013044003381778654,
573
+ "grad_norm": 3.650110375019722e-05,
574
+ "learning_rate": 0.00019999999993548814,
575
+ "loss": 46.0,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 0.013205040460566045,
580
+ "grad_norm": 3.355491207912564e-05,
581
+ "learning_rate": 0.0001999999999336581,
582
+ "loss": 46.0,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 0.013366077539353436,
587
+ "grad_norm": 3.100166577496566e-05,
588
+ "learning_rate": 0.00019999999993180247,
589
+ "loss": 46.0,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 0.013527114618140827,
594
+ "grad_norm": 4.128339787712321e-05,
595
+ "learning_rate": 0.00019999999992992127,
596
+ "loss": 46.0,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 0.013688151696928217,
601
+ "grad_norm": 5.978300396236591e-05,
602
+ "learning_rate": 0.00019999999992801443,
603
+ "loss": 46.0,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 0.013849188775715608,
608
+ "grad_norm": 6.463456520577893e-05,
609
+ "learning_rate": 0.00019999999992608203,
610
+ "loss": 46.0,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 0.014010225854502999,
615
+ "grad_norm": 4.458018156583421e-05,
616
+ "learning_rate": 0.00019999999992412402,
617
+ "loss": 46.0,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 0.01417126293329039,
622
+ "grad_norm": 3.9894523069960997e-05,
623
+ "learning_rate": 0.00019999999992214042,
624
+ "loss": 46.0,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 0.01433230001207778,
629
+ "grad_norm": 6.879306602058932e-05,
630
+ "learning_rate": 0.00019999999992013123,
631
+ "loss": 46.0,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 0.014493337090865172,
636
+ "grad_norm": 7.311927038244903e-05,
637
+ "learning_rate": 0.00019999999991809642,
638
+ "loss": 46.0,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 0.014654374169652562,
643
+ "grad_norm": 7.103729149093851e-05,
644
+ "learning_rate": 0.00019999999991603603,
645
+ "loss": 46.0,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 0.014815411248439953,
650
+ "grad_norm": 6.073687472962774e-05,
651
+ "learning_rate": 0.00019999999991395005,
652
+ "loss": 46.0,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 0.014976448327227344,
657
+ "grad_norm": 8.019880624487996e-05,
658
+ "learning_rate": 0.0001999999999118385,
659
+ "loss": 46.0,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 0.015137485406014735,
664
+ "grad_norm": 7.244279549922794e-05,
665
+ "learning_rate": 0.0001999999999097013,
666
+ "loss": 46.0,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 0.015298522484802126,
671
+ "grad_norm": 6.675118493149057e-05,
672
+ "learning_rate": 0.00019999999990753854,
673
+ "loss": 46.0,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 0.015459559563589517,
678
+ "grad_norm": 8.598087151767686e-05,
679
+ "learning_rate": 0.0001999999999053502,
680
+ "loss": 46.0,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 0.015620596642376907,
685
+ "grad_norm": 4.9705315177561715e-05,
686
+ "learning_rate": 0.00019999999990313622,
687
+ "loss": 46.0,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 0.015781633721164298,
692
+ "grad_norm": 5.5819342378526926e-05,
693
+ "learning_rate": 0.00019999999990089667,
694
+ "loss": 46.0,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 0.015942670799951687,
699
+ "grad_norm": 3.597228351281956e-05,
700
+ "learning_rate": 0.00019999999989863155,
701
+ "loss": 46.0,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 0.01610370787873908,
706
+ "grad_norm": 5.974910527584143e-05,
707
+ "learning_rate": 0.0001999999998963408,
708
+ "loss": 46.0,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 0.01626474495752647,
713
+ "grad_norm": 5.3069412388140336e-05,
714
+ "learning_rate": 0.00019999999989402448,
715
+ "loss": 46.0,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 0.01642578203631386,
720
+ "grad_norm": 5.418806176749058e-05,
721
+ "learning_rate": 0.00019999999989168252,
722
+ "loss": 46.0,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 0.01658681911510125,
727
+ "grad_norm": 9.603131184121594e-05,
728
+ "learning_rate": 0.000199999999889315,
729
+ "loss": 46.0,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 0.016747856193888643,
734
+ "grad_norm": 5.194047116674483e-05,
735
+ "learning_rate": 0.0001999999998869219,
736
+ "loss": 46.0,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 0.016908893272676032,
741
+ "grad_norm": 9.761226829141378e-05,
742
+ "learning_rate": 0.00019999999988450315,
743
+ "loss": 46.0,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 0.017069930351463425,
748
+ "grad_norm": 6.508623482659459e-05,
749
+ "learning_rate": 0.00019999999988205884,
750
+ "loss": 46.0,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 0.017230967430250814,
755
+ "grad_norm": 5.57337116333656e-05,
756
+ "learning_rate": 0.00019999999987958895,
757
+ "loss": 46.0,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 0.017392004509038207,
762
+ "grad_norm": 0.00010947446571663022,
763
+ "learning_rate": 0.00019999999987709344,
764
+ "loss": 46.0,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 0.017553041587825596,
769
+ "grad_norm": 5.486145164468326e-05,
770
+ "learning_rate": 0.00019999999987457235,
771
+ "loss": 46.0,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 0.017714078666612988,
776
+ "grad_norm": 0.00012351380428299308,
777
+ "learning_rate": 0.00019999999987202566,
778
+ "loss": 46.0,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 0.017875115745400377,
783
+ "grad_norm": 0.00010108689457410946,
784
+ "learning_rate": 0.00019999999986945337,
785
+ "loss": 46.0,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 0.01803615282418777,
790
+ "grad_norm": 8.059964602580294e-05,
791
+ "learning_rate": 0.00019999999986685548,
792
+ "loss": 46.0,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 0.01819718990297516,
797
+ "grad_norm": 0.00013831921387463808,
798
+ "learning_rate": 0.00019999999986423204,
799
+ "loss": 46.0,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 0.01835822698176255,
804
+ "grad_norm": 7.420378824463114e-05,
805
+ "learning_rate": 0.00019999999986158295,
806
+ "loss": 46.0,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 0.01851926406054994,
811
+ "grad_norm": 4.6814933739369735e-05,
812
+ "learning_rate": 0.00019999999985890828,
813
+ "loss": 46.0,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 0.018680301139337333,
818
+ "grad_norm": 9.741364192450419e-05,
819
+ "learning_rate": 0.00019999999985620802,
820
+ "loss": 46.0,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 0.018841338218124722,
825
+ "grad_norm": 6.949760427232832e-05,
826
+ "learning_rate": 0.0001999999998534822,
827
+ "loss": 46.0,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 0.019002375296912115,
832
+ "grad_norm": 6.653879972873256e-05,
833
+ "learning_rate": 0.00019999999985073074,
834
+ "loss": 46.0,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 0.019163412375699504,
839
+ "grad_norm": 0.0001317582791671157,
840
+ "learning_rate": 0.00019999999984795367,
841
+ "loss": 46.0,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 0.019324449454486897,
846
+ "grad_norm": 8.747701940592378e-05,
847
+ "learning_rate": 0.00019999999984515106,
848
+ "loss": 46.0,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 0.019485486533274286,
853
+ "grad_norm": 0.00013079583004582673,
854
+ "learning_rate": 0.0001999999998423228,
855
+ "loss": 46.0,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 0.019646523612061678,
860
+ "grad_norm": 8.933498611440882e-05,
861
+ "learning_rate": 0.000199999999839469,
862
+ "loss": 46.0,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 0.019807560690849067,
867
+ "grad_norm": 8.507933671353385e-05,
868
+ "learning_rate": 0.00019999999983658957,
869
+ "loss": 46.0,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 0.01996859776963646,
874
+ "grad_norm": 0.00011648085637716576,
875
+ "learning_rate": 0.00019999999983368456,
876
+ "loss": 46.0,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 0.02012963484842385,
881
+ "grad_norm": 0.00012115373829146847,
882
+ "learning_rate": 0.00019999999983075394,
883
+ "loss": 46.0,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 0.02029067192721124,
888
+ "grad_norm": 0.00017015583580359817,
889
+ "learning_rate": 0.00019999999982779772,
890
+ "loss": 46.0,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 0.02045170900599863,
895
+ "grad_norm": 6.490958912763745e-05,
896
+ "learning_rate": 0.00019999999982481592,
897
+ "loss": 46.0,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 0.020612746084786023,
902
+ "grad_norm": 0.00011056676157750189,
903
+ "learning_rate": 0.00019999999982180854,
904
+ "loss": 46.0,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 0.020773783163573412,
909
+ "grad_norm": 8.274184801848605e-05,
910
+ "learning_rate": 0.00019999999981877556,
911
+ "loss": 46.0,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 0.020934820242360805,
916
+ "grad_norm": 7.937616464914754e-05,
917
+ "learning_rate": 0.00019999999981571695,
918
+ "loss": 46.0,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 0.021095857321148194,
923
+ "grad_norm": 0.0001607205340405926,
924
+ "learning_rate": 0.00019999999981263277,
925
+ "loss": 46.0,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 0.021256894399935587,
930
+ "grad_norm": 7.551934686489403e-05,
931
+ "learning_rate": 0.000199999999809523,
932
+ "loss": 46.0,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 0.021417931478722976,
937
+ "grad_norm": 0.00015242550580296665,
938
+ "learning_rate": 0.00019999999980638763,
939
+ "loss": 46.0,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 0.021578968557510368,
944
+ "grad_norm": 6.205275713000447e-05,
945
+ "learning_rate": 0.00019999999980322667,
946
+ "loss": 46.0,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 0.021740005636297757,
951
+ "grad_norm": 0.00013843170017935336,
952
+ "learning_rate": 0.0001999999998000401,
953
+ "loss": 46.0,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 0.02190104271508515,
958
+ "grad_norm": 8.66490590851754e-05,
959
+ "learning_rate": 0.00019999999979682795,
960
+ "loss": 46.0,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 0.02206207979387254,
965
+ "grad_norm": 0.00012498012802097946,
966
+ "learning_rate": 0.0001999999997935902,
967
+ "loss": 46.0,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 0.02222311687265993,
972
+ "grad_norm": 0.00010799634037539363,
973
+ "learning_rate": 0.00019999999979032683,
974
+ "loss": 46.0,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 0.02238415395144732,
979
+ "grad_norm": 0.00010536867921473458,
980
+ "learning_rate": 0.00019999999978703793,
981
+ "loss": 46.0,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 0.022545191030234713,
986
+ "grad_norm": 0.00013301914441399276,
987
+ "learning_rate": 0.00019999999978372336,
988
+ "loss": 46.0,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 0.022706228109022102,
993
+ "grad_norm": 0.00018815284420270473,
994
+ "learning_rate": 0.00019999999978038323,
995
+ "loss": 46.0,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 0.022867265187809495,
1000
+ "grad_norm": 0.00010110333823831752,
1001
+ "learning_rate": 0.00019999999977701752,
1002
+ "loss": 46.0,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 0.023028302266596884,
1007
+ "grad_norm": 0.00014375909813679755,
1008
+ "learning_rate": 0.0001999999997736262,
1009
+ "loss": 46.0,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 0.023189339345384273,
1014
+ "grad_norm": 9.653297456679866e-05,
1015
+ "learning_rate": 0.0001999999997702093,
1016
+ "loss": 46.0,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 0.023350376424171666,
1021
+ "grad_norm": 0.00013295281678438187,
1022
+ "learning_rate": 0.00019999999976676676,
1023
+ "loss": 46.0,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 0.023511413502959055,
1028
+ "grad_norm": 0.00010267561447108164,
1029
+ "learning_rate": 0.00019999999976329867,
1030
+ "loss": 46.0,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 0.023672450581746447,
1035
+ "grad_norm": 0.00014794350136071444,
1036
+ "learning_rate": 0.00019999999975980494,
1037
+ "loss": 46.0,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 0.023833487660533836,
1042
+ "grad_norm": 0.00012542445620056242,
1043
+ "learning_rate": 0.00019999999975628567,
1044
+ "loss": 46.0,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 0.02399452473932123,
1049
+ "grad_norm": 0.0002975241222884506,
1050
+ "learning_rate": 0.00019999999975274077,
1051
+ "loss": 46.0,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 0.024155561818108618,
1056
+ "grad_norm": 7.225852459669113e-05,
1057
+ "learning_rate": 0.0001999999997491703,
1058
+ "loss": 46.0,
1059
+ "step": 150
1060
+ }
1061
+ ],
1062
+ "logging_steps": 1,
1063
+ "max_steps": 6209750,
1064
+ "num_input_tokens_seen": 0,
1065
+ "num_train_epochs": 1001,
1066
+ "save_steps": 150,
1067
+ "stateful_callbacks": {
1068
+ "TrainerControl": {
1069
+ "args": {
1070
+ "should_epoch_stop": false,
1071
+ "should_evaluate": false,
1072
+ "should_log": false,
1073
+ "should_save": true,
1074
+ "should_training_stop": false
1075
+ },
1076
+ "attributes": {}
1077
+ }
1078
+ },
1079
+ "total_flos": 2998393208832.0,
1080
+ "train_batch_size": 2,
1081
+ "trial_name": null,
1082
+ "trial_params": null
1083
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:99e8a6417085743ddd21ba8a724fde15fb25b12dc36033109d0875a4efc5cc8d
3
+ size 6776
last-checkpoint/vocab.json ADDED
The diff for this file is too large to render. See raw diff