Upload 8 files
Browse files- README.md +204 -0
- adapter_config.json +26 -0
- adapter_model.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +194 -0
- trainer_state.json +1830 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,204 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: deepseek-ai/deepseek-coder-6.7b-instruct
|
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 |
+
|
201 |
+
|
202 |
+
### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.7.1
|
adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "deepseek-ai/deepseek-coder-6.7b-instruct",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layers_pattern": null,
|
10 |
+
"layers_to_transform": null,
|
11 |
+
"loftq_config": {},
|
12 |
+
"lora_alpha": 32,
|
13 |
+
"lora_dropout": 0.05,
|
14 |
+
"megatron_config": null,
|
15 |
+
"megatron_core": "megatron.core",
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 16,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"v_proj",
|
23 |
+
"q_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1b2205ede55070eb384bceec5c6becf3d53bfb8a6c9c3bda218aefeb3f9f2ca5
|
3 |
+
size 33571624
|
special_tokens_map.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|begin▁of▁sentence|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|EOT|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<|end▁of▁sentence|>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": true,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
}
|
23 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,194 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"32000": {
|
6 |
+
"content": "õ",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": false
|
12 |
+
},
|
13 |
+
"32001": {
|
14 |
+
"content": "÷",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": true,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": false
|
20 |
+
},
|
21 |
+
"32002": {
|
22 |
+
"content": "Á",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": true,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": false
|
28 |
+
},
|
29 |
+
"32003": {
|
30 |
+
"content": "ý",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": true,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": false
|
36 |
+
},
|
37 |
+
"32004": {
|
38 |
+
"content": "À",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": true,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": false
|
44 |
+
},
|
45 |
+
"32005": {
|
46 |
+
"content": "ÿ",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": true,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": false
|
52 |
+
},
|
53 |
+
"32006": {
|
54 |
+
"content": "ø",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": true,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": false
|
60 |
+
},
|
61 |
+
"32007": {
|
62 |
+
"content": "ú",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": true,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": false
|
68 |
+
},
|
69 |
+
"32008": {
|
70 |
+
"content": "þ",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": true,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": false
|
76 |
+
},
|
77 |
+
"32009": {
|
78 |
+
"content": "ü",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": true,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": false
|
84 |
+
},
|
85 |
+
"32010": {
|
86 |
+
"content": "ù",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": true,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": false,
|
91 |
+
"special": false
|
92 |
+
},
|
93 |
+
"32011": {
|
94 |
+
"content": "ö",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": true,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": false,
|
99 |
+
"special": false
|
100 |
+
},
|
101 |
+
"32012": {
|
102 |
+
"content": "û",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": true,
|
105 |
+
"rstrip": false,
|
106 |
+
"single_word": false,
|
107 |
+
"special": false
|
108 |
+
},
|
109 |
+
"32013": {
|
110 |
+
"content": "<|begin▁of▁sentence|>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": true,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"32014": {
|
118 |
+
"content": "<|end▁of▁sentence|>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": true,
|
121 |
+
"rstrip": false,
|
122 |
+
"single_word": false,
|
123 |
+
"special": true
|
124 |
+
},
|
125 |
+
"32015": {
|
126 |
+
"content": "<|fim▁hole|>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": true,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": false
|
132 |
+
},
|
133 |
+
"32016": {
|
134 |
+
"content": "<|fim▁begin|>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": true,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": false
|
140 |
+
},
|
141 |
+
"32017": {
|
142 |
+
"content": "<|fim▁end|>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": true,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": false
|
148 |
+
},
|
149 |
+
"32018": {
|
150 |
+
"content": "<pad>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": true,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": false
|
156 |
+
},
|
157 |
+
"32019": {
|
158 |
+
"content": "<|User|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": true,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"32020": {
|
166 |
+
"content": "<|Assistant|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": true,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"32021": {
|
174 |
+
"content": "<|EOT|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": true,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": true
|
180 |
+
}
|
181 |
+
},
|
182 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
183 |
+
"chat_template": "{% if not add_generation_prompt is defined %}\n{% set add_generation_prompt = false %}\n{% endif %}\n{%- set ns = namespace(found=false) -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {%- set ns.found = true -%}\n {%- endif -%}\n{%- endfor -%}\n{{bos_token}}{%- if not ns.found -%}\n{{'You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer\\n'}}\n{%- endif %}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n{{ message['content'] }}\n {%- else %}\n {%- if message['role'] == 'user' %}\n{{'### Instruction:\\n' + message['content'] + '\\n'}}\n {%- else %}\n{{'### Response:\\n' + message['content'] + '\\n<|EOT|>\\n'}}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{% if add_generation_prompt %}\n{{'### Response:'}}\n{% endif %}",
|
184 |
+
"clean_up_tokenization_spaces": false,
|
185 |
+
"eos_token": "<|EOT|>",
|
186 |
+
"legacy": true,
|
187 |
+
"model_max_length": 512,
|
188 |
+
"pad_token": "<|end▁of▁sentence|>",
|
189 |
+
"padding_side": "right",
|
190 |
+
"sp_model_kwargs": {},
|
191 |
+
"tokenizer_class": "LlamaTokenizer",
|
192 |
+
"unk_token": null,
|
193 |
+
"use_default_system_prompt": false
|
194 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1830 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 30.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 300,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.1,
|
13 |
+
"learning_rate": 2e-05,
|
14 |
+
"loss": 0.4673,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.2,
|
19 |
+
"learning_rate": 4e-05,
|
20 |
+
"loss": 0.4921,
|
21 |
+
"step": 2
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.3,
|
25 |
+
"learning_rate": 6e-05,
|
26 |
+
"loss": 0.513,
|
27 |
+
"step": 3
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.4,
|
31 |
+
"learning_rate": 8e-05,
|
32 |
+
"loss": 0.4494,
|
33 |
+
"step": 4
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.5,
|
37 |
+
"learning_rate": 0.0001,
|
38 |
+
"loss": 0.3777,
|
39 |
+
"step": 5
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.6,
|
43 |
+
"learning_rate": 0.00012,
|
44 |
+
"loss": 0.3692,
|
45 |
+
"step": 6
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.7,
|
49 |
+
"learning_rate": 0.00014,
|
50 |
+
"loss": 0.3899,
|
51 |
+
"step": 7
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.8,
|
55 |
+
"learning_rate": 0.00016,
|
56 |
+
"loss": 0.3349,
|
57 |
+
"step": 8
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.9,
|
61 |
+
"learning_rate": 0.00018,
|
62 |
+
"loss": 0.3956,
|
63 |
+
"step": 9
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 1.0,
|
67 |
+
"learning_rate": 0.0002,
|
68 |
+
"loss": 0.417,
|
69 |
+
"step": 10
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 1.1,
|
73 |
+
"learning_rate": 0.00019999413227831132,
|
74 |
+
"loss": 0.3352,
|
75 |
+
"step": 11
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 1.2,
|
79 |
+
"learning_rate": 0.00019997652980184843,
|
80 |
+
"loss": 0.3709,
|
81 |
+
"step": 12
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 1.3,
|
85 |
+
"learning_rate": 0.00019994719463633997,
|
86 |
+
"loss": 0.3868,
|
87 |
+
"step": 13
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 1.4,
|
91 |
+
"learning_rate": 0.0001999061302243977,
|
92 |
+
"loss": 0.3771,
|
93 |
+
"step": 14
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 1.5,
|
97 |
+
"learning_rate": 0.00019985334138511237,
|
98 |
+
"loss": 0.2788,
|
99 |
+
"step": 15
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 1.6,
|
103 |
+
"learning_rate": 0.00019978883431348845,
|
104 |
+
"loss": 0.2897,
|
105 |
+
"step": 16
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 1.7,
|
109 |
+
"learning_rate": 0.0001997126165797167,
|
110 |
+
"loss": 0.2225,
|
111 |
+
"step": 17
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 1.8,
|
115 |
+
"learning_rate": 0.00019962469712828614,
|
116 |
+
"loss": 0.2778,
|
117 |
+
"step": 18
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 1.9,
|
121 |
+
"learning_rate": 0.0001995250862769342,
|
122 |
+
"loss": 0.2976,
|
123 |
+
"step": 19
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 2.0,
|
127 |
+
"learning_rate": 0.00019941379571543596,
|
128 |
+
"loss": 0.3287,
|
129 |
+
"step": 20
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 2.1,
|
133 |
+
"learning_rate": 0.00019929083850423225,
|
134 |
+
"loss": 0.2585,
|
135 |
+
"step": 21
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 2.2,
|
139 |
+
"learning_rate": 0.00019915622907289694,
|
140 |
+
"loss": 0.2322,
|
141 |
+
"step": 22
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 2.3,
|
145 |
+
"learning_rate": 0.00019900998321844367,
|
146 |
+
"loss": 0.2285,
|
147 |
+
"step": 23
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 2.4,
|
151 |
+
"learning_rate": 0.00019885211810347184,
|
152 |
+
"loss": 0.3068,
|
153 |
+
"step": 24
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 2.5,
|
157 |
+
"learning_rate": 0.00019868265225415265,
|
158 |
+
"loss": 0.184,
|
159 |
+
"step": 25
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 2.6,
|
163 |
+
"learning_rate": 0.00019850160555805486,
|
164 |
+
"loss": 0.2525,
|
165 |
+
"step": 26
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 2.7,
|
169 |
+
"learning_rate": 0.000198308999261811,
|
170 |
+
"loss": 0.2629,
|
171 |
+
"step": 27
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 2.8,
|
175 |
+
"learning_rate": 0.00019810485596862392,
|
176 |
+
"loss": 0.2774,
|
177 |
+
"step": 28
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 2.9,
|
181 |
+
"learning_rate": 0.00019788919963561422,
|
182 |
+
"loss": 0.2102,
|
183 |
+
"step": 29
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 3.0,
|
187 |
+
"learning_rate": 0.00019766205557100868,
|
188 |
+
"loss": 0.169,
|
189 |
+
"step": 30
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 3.1,
|
193 |
+
"learning_rate": 0.00019742345043117045,
|
194 |
+
"loss": 0.246,
|
195 |
+
"step": 31
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 3.2,
|
199 |
+
"learning_rate": 0.00019717341221747056,
|
200 |
+
"loss": 0.233,
|
201 |
+
"step": 32
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 3.3,
|
205 |
+
"learning_rate": 0.00019691197027300205,
|
206 |
+
"loss": 0.1728,
|
207 |
+
"step": 33
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 3.4,
|
211 |
+
"learning_rate": 0.00019663915527913625,
|
212 |
+
"loss": 0.1657,
|
213 |
+
"step": 34
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 3.5,
|
217 |
+
"learning_rate": 0.0001963549992519223,
|
218 |
+
"loss": 0.1968,
|
219 |
+
"step": 35
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 3.6,
|
223 |
+
"learning_rate": 0.00019605953553832988,
|
224 |
+
"loss": 0.1797,
|
225 |
+
"step": 36
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 3.7,
|
229 |
+
"learning_rate": 0.00019575279881233577,
|
230 |
+
"loss": 0.1904,
|
231 |
+
"step": 37
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 3.8,
|
235 |
+
"learning_rate": 0.00019543482507085482,
|
236 |
+
"loss": 0.2162,
|
237 |
+
"step": 38
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 3.9,
|
241 |
+
"learning_rate": 0.00019510565162951537,
|
242 |
+
"loss": 0.1524,
|
243 |
+
"step": 39
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 4.0,
|
247 |
+
"learning_rate": 0.00019476531711828027,
|
248 |
+
"loss": 0.1587,
|
249 |
+
"step": 40
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 4.1,
|
253 |
+
"learning_rate": 0.00019441386147691335,
|
254 |
+
"loss": 0.1774,
|
255 |
+
"step": 41
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 4.2,
|
259 |
+
"learning_rate": 0.0001940513259502924,
|
260 |
+
"loss": 0.1352,
|
261 |
+
"step": 42
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 4.3,
|
265 |
+
"learning_rate": 0.0001936777530835689,
|
266 |
+
"loss": 0.1913,
|
267 |
+
"step": 43
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 4.4,
|
271 |
+
"learning_rate": 0.0001932931867171751,
|
272 |
+
"loss": 0.1578,
|
273 |
+
"step": 44
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 4.5,
|
277 |
+
"learning_rate": 0.00019289767198167916,
|
278 |
+
"loss": 0.2396,
|
279 |
+
"step": 45
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 4.6,
|
283 |
+
"learning_rate": 0.0001924912552924889,
|
284 |
+
"loss": 0.095,
|
285 |
+
"step": 46
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 4.7,
|
289 |
+
"learning_rate": 0.00019207398434440478,
|
290 |
+
"loss": 0.1376,
|
291 |
+
"step": 47
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 4.8,
|
295 |
+
"learning_rate": 0.00019164590810602262,
|
296 |
+
"loss": 0.1483,
|
297 |
+
"step": 48
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 4.9,
|
301 |
+
"learning_rate": 0.000191207076813987,
|
302 |
+
"loss": 0.1417,
|
303 |
+
"step": 49
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 5.0,
|
307 |
+
"learning_rate": 0.00019075754196709572,
|
308 |
+
"loss": 0.1373,
|
309 |
+
"step": 50
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 5.1,
|
313 |
+
"learning_rate": 0.00019029735632025618,
|
314 |
+
"loss": 0.1883,
|
315 |
+
"step": 51
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 5.2,
|
319 |
+
"learning_rate": 0.00018982657387829445,
|
320 |
+
"loss": 0.1106,
|
321 |
+
"step": 52
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 5.3,
|
325 |
+
"learning_rate": 0.00018934524988961738,
|
326 |
+
"loss": 0.1231,
|
327 |
+
"step": 53
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 5.4,
|
331 |
+
"learning_rate": 0.00018885344083972914,
|
332 |
+
"loss": 0.1112,
|
333 |
+
"step": 54
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 5.5,
|
337 |
+
"learning_rate": 0.0001883512044446023,
|
338 |
+
"loss": 0.11,
|
339 |
+
"step": 55
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 5.6,
|
343 |
+
"learning_rate": 0.00018783859964390464,
|
344 |
+
"loss": 0.1028,
|
345 |
+
"step": 56
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 5.7,
|
349 |
+
"learning_rate": 0.0001873156865940823,
|
350 |
+
"loss": 0.1243,
|
351 |
+
"step": 57
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 5.8,
|
355 |
+
"learning_rate": 0.00018678252666130013,
|
356 |
+
"loss": 0.1259,
|
357 |
+
"step": 58
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 5.9,
|
361 |
+
"learning_rate": 0.0001862391824142402,
|
362 |
+
"loss": 0.1002,
|
363 |
+
"step": 59
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 6.0,
|
367 |
+
"learning_rate": 0.00018568571761675893,
|
368 |
+
"loss": 0.1718,
|
369 |
+
"step": 60
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 6.1,
|
373 |
+
"learning_rate": 0.00018512219722040425,
|
374 |
+
"loss": 0.0951,
|
375 |
+
"step": 61
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 6.2,
|
379 |
+
"learning_rate": 0.0001845486873567932,
|
380 |
+
"loss": 0.1086,
|
381 |
+
"step": 62
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 6.3,
|
385 |
+
"learning_rate": 0.00018396525532985108,
|
386 |
+
"loss": 0.1299,
|
387 |
+
"step": 63
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 6.4,
|
391 |
+
"learning_rate": 0.00018337196960791302,
|
392 |
+
"loss": 0.0888,
|
393 |
+
"step": 64
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 6.5,
|
397 |
+
"learning_rate": 0.00018276889981568906,
|
398 |
+
"loss": 0.1316,
|
399 |
+
"step": 65
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 6.6,
|
403 |
+
"learning_rate": 0.00018215611672609317,
|
404 |
+
"loss": 0.0862,
|
405 |
+
"step": 66
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 6.7,
|
409 |
+
"learning_rate": 0.00018153369225193782,
|
410 |
+
"loss": 0.103,
|
411 |
+
"step": 67
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 6.8,
|
415 |
+
"learning_rate": 0.00018090169943749476,
|
416 |
+
"loss": 0.0748,
|
417 |
+
"step": 68
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 6.9,
|
421 |
+
"learning_rate": 0.00018026021244992287,
|
422 |
+
"loss": 0.1113,
|
423 |
+
"step": 69
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 7.0,
|
427 |
+
"learning_rate": 0.00017960930657056438,
|
428 |
+
"loss": 0.0869,
|
429 |
+
"step": 70
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 7.1,
|
433 |
+
"learning_rate": 0.0001789490581861102,
|
434 |
+
"loss": 0.0785,
|
435 |
+
"step": 71
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 7.2,
|
439 |
+
"learning_rate": 0.00017827954477963557,
|
440 |
+
"loss": 0.0865,
|
441 |
+
"step": 72
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 7.3,
|
445 |
+
"learning_rate": 0.0001776008449215073,
|
446 |
+
"loss": 0.0883,
|
447 |
+
"step": 73
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 7.4,
|
451 |
+
"learning_rate": 0.0001769130382601629,
|
452 |
+
"loss": 0.093,
|
453 |
+
"step": 74
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 7.5,
|
457 |
+
"learning_rate": 0.00017621620551276366,
|
458 |
+
"loss": 0.0576,
|
459 |
+
"step": 75
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 7.6,
|
463 |
+
"learning_rate": 0.00017551042845572208,
|
464 |
+
"loss": 0.0695,
|
465 |
+
"step": 76
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 7.7,
|
469 |
+
"learning_rate": 0.00017479578991510508,
|
470 |
+
"loss": 0.0664,
|
471 |
+
"step": 77
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 7.8,
|
475 |
+
"learning_rate": 0.00017407237375691392,
|
476 |
+
"loss": 0.0609,
|
477 |
+
"step": 78
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 7.9,
|
481 |
+
"learning_rate": 0.00017334026487724225,
|
482 |
+
"loss": 0.0686,
|
483 |
+
"step": 79
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 8.0,
|
487 |
+
"learning_rate": 0.0001725995491923131,
|
488 |
+
"loss": 0.1042,
|
489 |
+
"step": 80
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 8.1,
|
493 |
+
"learning_rate": 0.00017185031362839626,
|
494 |
+
"loss": 0.055,
|
495 |
+
"step": 81
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 8.2,
|
499 |
+
"learning_rate": 0.00017109264611160708,
|
500 |
+
"loss": 0.1005,
|
501 |
+
"step": 82
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 8.3,
|
505 |
+
"learning_rate": 0.000170326635557588,
|
506 |
+
"loss": 0.0553,
|
507 |
+
"step": 83
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 8.4,
|
511 |
+
"learning_rate": 0.00016955237186107387,
|
512 |
+
"loss": 0.0384,
|
513 |
+
"step": 84
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 8.5,
|
517 |
+
"learning_rate": 0.00016876994588534234,
|
518 |
+
"loss": 0.0468,
|
519 |
+
"step": 85
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 8.6,
|
523 |
+
"learning_rate": 0.0001679794494515508,
|
524 |
+
"loss": 0.0491,
|
525 |
+
"step": 86
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 8.7,
|
529 |
+
"learning_rate": 0.00016718097532796063,
|
530 |
+
"loss": 0.0564,
|
531 |
+
"step": 87
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 8.8,
|
535 |
+
"learning_rate": 0.00016637461721905045,
|
536 |
+
"loss": 0.0525,
|
537 |
+
"step": 88
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 8.9,
|
541 |
+
"learning_rate": 0.0001655604697545196,
|
542 |
+
"loss": 0.0433,
|
543 |
+
"step": 89
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 9.0,
|
547 |
+
"learning_rate": 0.00016473862847818277,
|
548 |
+
"loss": 0.0525,
|
549 |
+
"step": 90
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 9.1,
|
553 |
+
"learning_rate": 0.0001639091898367576,
|
554 |
+
"loss": 0.0422,
|
555 |
+
"step": 91
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 9.2,
|
559 |
+
"learning_rate": 0.00016307225116854622,
|
560 |
+
"loss": 0.0319,
|
561 |
+
"step": 92
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 9.3,
|
565 |
+
"learning_rate": 0.00016222791069201207,
|
566 |
+
"loss": 0.032,
|
567 |
+
"step": 93
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 9.4,
|
571 |
+
"learning_rate": 0.00016137626749425377,
|
572 |
+
"loss": 0.0341,
|
573 |
+
"step": 94
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 9.5,
|
577 |
+
"learning_rate": 0.00016051742151937655,
|
578 |
+
"loss": 0.0618,
|
579 |
+
"step": 95
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 9.6,
|
583 |
+
"learning_rate": 0.00015965147355676343,
|
584 |
+
"loss": 0.0346,
|
585 |
+
"step": 96
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 9.7,
|
589 |
+
"learning_rate": 0.00015877852522924732,
|
590 |
+
"loss": 0.0387,
|
591 |
+
"step": 97
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 9.8,
|
595 |
+
"learning_rate": 0.0001578986789811849,
|
596 |
+
"loss": 0.0453,
|
597 |
+
"step": 98
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 9.9,
|
601 |
+
"learning_rate": 0.00015701203806643433,
|
602 |
+
"loss": 0.0313,
|
603 |
+
"step": 99
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 10.0,
|
607 |
+
"learning_rate": 0.00015611870653623825,
|
608 |
+
"loss": 0.0352,
|
609 |
+
"step": 100
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 10.1,
|
613 |
+
"learning_rate": 0.00015521878922701246,
|
614 |
+
"loss": 0.0449,
|
615 |
+
"step": 101
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 10.2,
|
619 |
+
"learning_rate": 0.00015431239174804328,
|
620 |
+
"loss": 0.0309,
|
621 |
+
"step": 102
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 10.3,
|
625 |
+
"learning_rate": 0.00015339962046909364,
|
626 |
+
"loss": 0.0164,
|
627 |
+
"step": 103
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 10.4,
|
631 |
+
"learning_rate": 0.00015248058250792008,
|
632 |
+
"loss": 0.0248,
|
633 |
+
"step": 104
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 10.5,
|
637 |
+
"learning_rate": 0.00015155538571770218,
|
638 |
+
"loss": 0.0236,
|
639 |
+
"step": 105
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 10.6,
|
643 |
+
"learning_rate": 0.0001506241386743854,
|
644 |
+
"loss": 0.023,
|
645 |
+
"step": 106
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 10.7,
|
649 |
+
"learning_rate": 0.00014968695066393923,
|
650 |
+
"loss": 0.0203,
|
651 |
+
"step": 107
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 10.8,
|
655 |
+
"learning_rate": 0.00014874393166953192,
|
656 |
+
"loss": 0.0175,
|
657 |
+
"step": 108
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 10.9,
|
661 |
+
"learning_rate": 0.00014779519235862365,
|
662 |
+
"loss": 0.024,
|
663 |
+
"step": 109
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 11.0,
|
667 |
+
"learning_rate": 0.00014684084406997903,
|
668 |
+
"loss": 0.0385,
|
669 |
+
"step": 110
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 11.1,
|
673 |
+
"learning_rate": 0.0001458809988006011,
|
674 |
+
"loss": 0.0117,
|
675 |
+
"step": 111
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 11.2,
|
679 |
+
"learning_rate": 0.00014491576919258792,
|
680 |
+
"loss": 0.0188,
|
681 |
+
"step": 112
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 11.3,
|
685 |
+
"learning_rate": 0.00014394526851991364,
|
686 |
+
"loss": 0.0198,
|
687 |
+
"step": 113
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 11.4,
|
691 |
+
"learning_rate": 0.0001429696106751352,
|
692 |
+
"loss": 0.0255,
|
693 |
+
"step": 114
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 11.5,
|
697 |
+
"learning_rate": 0.00014198891015602646,
|
698 |
+
"loss": 0.0143,
|
699 |
+
"step": 115
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 11.6,
|
703 |
+
"learning_rate": 0.0001410032820521416,
|
704 |
+
"loss": 0.0218,
|
705 |
+
"step": 116
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 11.7,
|
709 |
+
"learning_rate": 0.00014001284203130868,
|
710 |
+
"loss": 0.0213,
|
711 |
+
"step": 117
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 11.8,
|
715 |
+
"learning_rate": 0.00013901770632605547,
|
716 |
+
"loss": 0.011,
|
717 |
+
"step": 118
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 11.9,
|
721 |
+
"learning_rate": 0.0001380179917199692,
|
722 |
+
"loss": 0.0175,
|
723 |
+
"step": 119
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 12.0,
|
727 |
+
"learning_rate": 0.00013701381553399145,
|
728 |
+
"loss": 0.0135,
|
729 |
+
"step": 120
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 12.1,
|
733 |
+
"learning_rate": 0.0001360052956126499,
|
734 |
+
"loss": 0.0114,
|
735 |
+
"step": 121
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 12.2,
|
739 |
+
"learning_rate": 0.00013499255031022885,
|
740 |
+
"loss": 0.0109,
|
741 |
+
"step": 122
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 12.3,
|
745 |
+
"learning_rate": 0.00013397569847687984,
|
746 |
+
"loss": 0.0119,
|
747 |
+
"step": 123
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 12.4,
|
751 |
+
"learning_rate": 0.00013295485944467405,
|
752 |
+
"loss": 0.0074,
|
753 |
+
"step": 124
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 12.5,
|
757 |
+
"learning_rate": 0.000131930153013598,
|
758 |
+
"loss": 0.0193,
|
759 |
+
"step": 125
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 12.6,
|
763 |
+
"learning_rate": 0.00013090169943749476,
|
764 |
+
"loss": 0.0175,
|
765 |
+
"step": 126
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 12.7,
|
769 |
+
"learning_rate": 0.00012986961940995138,
|
770 |
+
"loss": 0.0112,
|
771 |
+
"step": 127
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 12.8,
|
775 |
+
"learning_rate": 0.0001288340340501351,
|
776 |
+
"loss": 0.0192,
|
777 |
+
"step": 128
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 12.9,
|
781 |
+
"learning_rate": 0.00012779506488857945,
|
782 |
+
"loss": 0.0113,
|
783 |
+
"step": 129
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 13.0,
|
787 |
+
"learning_rate": 0.00012675283385292212,
|
788 |
+
"loss": 0.0075,
|
789 |
+
"step": 130
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 13.1,
|
793 |
+
"learning_rate": 0.00012570746325359607,
|
794 |
+
"loss": 0.0054,
|
795 |
+
"step": 131
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 13.2,
|
799 |
+
"learning_rate": 0.00012465907576947622,
|
800 |
+
"loss": 0.0125,
|
801 |
+
"step": 132
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 13.3,
|
805 |
+
"learning_rate": 0.000123607794433482,
|
806 |
+
"loss": 0.0063,
|
807 |
+
"step": 133
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 13.4,
|
811 |
+
"learning_rate": 0.00012255374261813944,
|
812 |
+
"loss": 0.0087,
|
813 |
+
"step": 134
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 13.5,
|
817 |
+
"learning_rate": 0.00012149704402110243,
|
818 |
+
"loss": 0.0093,
|
819 |
+
"step": 135
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 13.6,
|
823 |
+
"learning_rate": 0.0001204378226506365,
|
824 |
+
"loss": 0.0118,
|
825 |
+
"step": 136
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 13.7,
|
829 |
+
"learning_rate": 0.00011937620281106585,
|
830 |
+
"loss": 0.0106,
|
831 |
+
"step": 137
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 13.8,
|
835 |
+
"learning_rate": 0.00011831230908818563,
|
836 |
+
"loss": 0.0164,
|
837 |
+
"step": 138
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 13.9,
|
841 |
+
"learning_rate": 0.00011724626633464127,
|
842 |
+
"loss": 0.0085,
|
843 |
+
"step": 139
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 14.0,
|
847 |
+
"learning_rate": 0.0001161781996552765,
|
848 |
+
"loss": 0.0074,
|
849 |
+
"step": 140
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 14.1,
|
853 |
+
"learning_rate": 0.00011510823439245169,
|
854 |
+
"loss": 0.0036,
|
855 |
+
"step": 141
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 14.2,
|
859 |
+
"learning_rate": 0.00011403649611133444,
|
860 |
+
"loss": 0.0101,
|
861 |
+
"step": 142
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 14.3,
|
865 |
+
"learning_rate": 0.00011296311058516389,
|
866 |
+
"loss": 0.0072,
|
867 |
+
"step": 143
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 14.4,
|
871 |
+
"learning_rate": 0.00011188820378049065,
|
872 |
+
"loss": 0.0094,
|
873 |
+
"step": 144
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 14.5,
|
877 |
+
"learning_rate": 0.00011081190184239419,
|
878 |
+
"loss": 0.0063,
|
879 |
+
"step": 145
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 14.6,
|
883 |
+
"learning_rate": 0.00010973433107967902,
|
884 |
+
"loss": 0.0125,
|
885 |
+
"step": 146
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 14.7,
|
889 |
+
"learning_rate": 0.00010865561795005177,
|
890 |
+
"loss": 0.0047,
|
891 |
+
"step": 147
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 14.8,
|
895 |
+
"learning_rate": 0.00010757588904528106,
|
896 |
+
"loss": 0.0048,
|
897 |
+
"step": 148
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 14.9,
|
901 |
+
"learning_rate": 0.00010649527107634108,
|
902 |
+
"loss": 0.0037,
|
903 |
+
"step": 149
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 15.0,
|
907 |
+
"learning_rate": 0.00010541389085854176,
|
908 |
+
"loss": 0.0048,
|
909 |
+
"step": 150
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 15.1,
|
913 |
+
"learning_rate": 0.00010433187529664623,
|
914 |
+
"loss": 0.0057,
|
915 |
+
"step": 151
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 15.2,
|
919 |
+
"learning_rate": 0.00010324935136997806,
|
920 |
+
"loss": 0.0062,
|
921 |
+
"step": 152
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 15.3,
|
925 |
+
"learning_rate": 0.00010216644611751975,
|
926 |
+
"loss": 0.0056,
|
927 |
+
"step": 153
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 15.4,
|
931 |
+
"learning_rate": 0.000101083286623004,
|
932 |
+
"loss": 0.0055,
|
933 |
+
"step": 154
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 15.5,
|
937 |
+
"learning_rate": 0.0001,
|
938 |
+
"loss": 0.0039,
|
939 |
+
"step": 155
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 15.6,
|
943 |
+
"learning_rate": 9.891671337699602e-05,
|
944 |
+
"loss": 0.004,
|
945 |
+
"step": 156
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 15.7,
|
949 |
+
"learning_rate": 9.783355388248027e-05,
|
950 |
+
"loss": 0.004,
|
951 |
+
"step": 157
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 15.8,
|
955 |
+
"learning_rate": 9.675064863002196e-05,
|
956 |
+
"loss": 0.0024,
|
957 |
+
"step": 158
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 15.9,
|
961 |
+
"learning_rate": 9.56681247033538e-05,
|
962 |
+
"loss": 0.0069,
|
963 |
+
"step": 159
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 16.0,
|
967 |
+
"learning_rate": 9.458610914145826e-05,
|
968 |
+
"loss": 0.0027,
|
969 |
+
"step": 160
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 16.1,
|
973 |
+
"learning_rate": 9.350472892365892e-05,
|
974 |
+
"loss": 0.0036,
|
975 |
+
"step": 161
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 16.2,
|
979 |
+
"learning_rate": 9.242411095471897e-05,
|
980 |
+
"loss": 0.0024,
|
981 |
+
"step": 162
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 16.3,
|
985 |
+
"learning_rate": 9.134438204994824e-05,
|
986 |
+
"loss": 0.002,
|
987 |
+
"step": 163
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 16.4,
|
991 |
+
"learning_rate": 9.026566892032105e-05,
|
992 |
+
"loss": 0.0052,
|
993 |
+
"step": 164
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 16.5,
|
997 |
+
"learning_rate": 8.918809815760585e-05,
|
998 |
+
"loss": 0.0029,
|
999 |
+
"step": 165
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 16.6,
|
1003 |
+
"learning_rate": 8.811179621950936e-05,
|
1004 |
+
"loss": 0.0032,
|
1005 |
+
"step": 166
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 16.7,
|
1009 |
+
"learning_rate": 8.703688941483616e-05,
|
1010 |
+
"loss": 0.0025,
|
1011 |
+
"step": 167
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 16.8,
|
1015 |
+
"learning_rate": 8.596350388866558e-05,
|
1016 |
+
"loss": 0.0044,
|
1017 |
+
"step": 168
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 16.9,
|
1021 |
+
"learning_rate": 8.489176560754834e-05,
|
1022 |
+
"loss": 0.0034,
|
1023 |
+
"step": 169
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 17.0,
|
1027 |
+
"learning_rate": 8.382180034472353e-05,
|
1028 |
+
"loss": 0.0042,
|
1029 |
+
"step": 170
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 17.1,
|
1033 |
+
"learning_rate": 8.275373366535877e-05,
|
1034 |
+
"loss": 0.0031,
|
1035 |
+
"step": 171
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 17.2,
|
1039 |
+
"learning_rate": 8.168769091181438e-05,
|
1040 |
+
"loss": 0.0024,
|
1041 |
+
"step": 172
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 17.3,
|
1045 |
+
"learning_rate": 8.062379718893417e-05,
|
1046 |
+
"loss": 0.0037,
|
1047 |
+
"step": 173
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 17.4,
|
1051 |
+
"learning_rate": 7.956217734936353e-05,
|
1052 |
+
"loss": 0.0014,
|
1053 |
+
"step": 174
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 17.5,
|
1057 |
+
"learning_rate": 7.85029559788976e-05,
|
1058 |
+
"loss": 0.0023,
|
1059 |
+
"step": 175
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 17.6,
|
1063 |
+
"learning_rate": 7.744625738186059e-05,
|
1064 |
+
"loss": 0.0019,
|
1065 |
+
"step": 176
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 17.7,
|
1069 |
+
"learning_rate": 7.639220556651799e-05,
|
1070 |
+
"loss": 0.0016,
|
1071 |
+
"step": 177
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 17.8,
|
1075 |
+
"learning_rate": 7.534092423052381e-05,
|
1076 |
+
"loss": 0.0027,
|
1077 |
+
"step": 178
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 17.9,
|
1081 |
+
"learning_rate": 7.42925367464039e-05,
|
1082 |
+
"loss": 0.0018,
|
1083 |
+
"step": 179
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 18.0,
|
1087 |
+
"learning_rate": 7.324716614707793e-05,
|
1088 |
+
"loss": 0.002,
|
1089 |
+
"step": 180
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 18.1,
|
1093 |
+
"learning_rate": 7.220493511142059e-05,
|
1094 |
+
"loss": 0.002,
|
1095 |
+
"step": 181
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 18.2,
|
1099 |
+
"learning_rate": 7.116596594986494e-05,
|
1100 |
+
"loss": 0.0009,
|
1101 |
+
"step": 182
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 18.3,
|
1105 |
+
"learning_rate": 7.013038059004866e-05,
|
1106 |
+
"loss": 0.0013,
|
1107 |
+
"step": 183
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 18.4,
|
1111 |
+
"learning_rate": 6.909830056250527e-05,
|
1112 |
+
"loss": 0.0022,
|
1113 |
+
"step": 184
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 18.5,
|
1117 |
+
"learning_rate": 6.806984698640202e-05,
|
1118 |
+
"loss": 0.0017,
|
1119 |
+
"step": 185
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 18.6,
|
1123 |
+
"learning_rate": 6.704514055532598e-05,
|
1124 |
+
"loss": 0.0026,
|
1125 |
+
"step": 186
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 18.7,
|
1129 |
+
"learning_rate": 6.602430152312017e-05,
|
1130 |
+
"loss": 0.0017,
|
1131 |
+
"step": 187
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 18.8,
|
1135 |
+
"learning_rate": 6.500744968977116e-05,
|
1136 |
+
"loss": 0.002,
|
1137 |
+
"step": 188
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 18.9,
|
1141 |
+
"learning_rate": 6.399470438735014e-05,
|
1142 |
+
"loss": 0.001,
|
1143 |
+
"step": 189
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 19.0,
|
1147 |
+
"learning_rate": 6.298618446600856e-05,
|
1148 |
+
"loss": 0.0013,
|
1149 |
+
"step": 190
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 19.1,
|
1153 |
+
"learning_rate": 6.19820082800308e-05,
|
1154 |
+
"loss": 0.0014,
|
1155 |
+
"step": 191
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 19.2,
|
1159 |
+
"learning_rate": 6.0982293673944544e-05,
|
1160 |
+
"loss": 0.0008,
|
1161 |
+
"step": 192
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 19.3,
|
1165 |
+
"learning_rate": 5.9987157968691344e-05,
|
1166 |
+
"loss": 0.0009,
|
1167 |
+
"step": 193
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 19.4,
|
1171 |
+
"learning_rate": 5.899671794785839e-05,
|
1172 |
+
"loss": 0.0007,
|
1173 |
+
"step": 194
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 19.5,
|
1177 |
+
"learning_rate": 5.801108984397354e-05,
|
1178 |
+
"loss": 0.0011,
|
1179 |
+
"step": 195
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 19.6,
|
1183 |
+
"learning_rate": 5.703038932486484e-05,
|
1184 |
+
"loss": 0.0011,
|
1185 |
+
"step": 196
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 19.7,
|
1189 |
+
"learning_rate": 5.605473148008638e-05,
|
1190 |
+
"loss": 0.002,
|
1191 |
+
"step": 197
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 19.8,
|
1195 |
+
"learning_rate": 5.5084230807412126e-05,
|
1196 |
+
"loss": 0.0012,
|
1197 |
+
"step": 198
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 19.9,
|
1201 |
+
"learning_rate": 5.411900119939895e-05,
|
1202 |
+
"loss": 0.0015,
|
1203 |
+
"step": 199
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 20.0,
|
1207 |
+
"learning_rate": 5.3159155930021e-05,
|
1208 |
+
"loss": 0.0021,
|
1209 |
+
"step": 200
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 20.1,
|
1213 |
+
"learning_rate": 5.2204807641376354e-05,
|
1214 |
+
"loss": 0.0011,
|
1215 |
+
"step": 201
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 20.2,
|
1219 |
+
"learning_rate": 5.12560683304681e-05,
|
1220 |
+
"loss": 0.0018,
|
1221 |
+
"step": 202
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 20.3,
|
1225 |
+
"learning_rate": 5.03130493360608e-05,
|
1226 |
+
"loss": 0.0015,
|
1227 |
+
"step": 203
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 20.4,
|
1231 |
+
"learning_rate": 4.9375861325614606e-05,
|
1232 |
+
"loss": 0.0011,
|
1233 |
+
"step": 204
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 20.5,
|
1237 |
+
"learning_rate": 4.844461428229782e-05,
|
1238 |
+
"loss": 0.0007,
|
1239 |
+
"step": 205
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 20.6,
|
1243 |
+
"learning_rate": 4.751941749207995e-05,
|
1244 |
+
"loss": 0.0006,
|
1245 |
+
"step": 206
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 20.7,
|
1249 |
+
"learning_rate": 4.660037953090639e-05,
|
1250 |
+
"loss": 0.0008,
|
1251 |
+
"step": 207
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 20.8,
|
1255 |
+
"learning_rate": 4.5687608251956714e-05,
|
1256 |
+
"loss": 0.0013,
|
1257 |
+
"step": 208
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 20.9,
|
1261 |
+
"learning_rate": 4.4781210772987514e-05,
|
1262 |
+
"loss": 0.0008,
|
1263 |
+
"step": 209
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 21.0,
|
1267 |
+
"learning_rate": 4.388129346376178e-05,
|
1268 |
+
"loss": 0.0012,
|
1269 |
+
"step": 210
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 21.1,
|
1273 |
+
"learning_rate": 4.298796193356566e-05,
|
1274 |
+
"loss": 0.0012,
|
1275 |
+
"step": 211
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 21.2,
|
1279 |
+
"learning_rate": 4.210132101881516e-05,
|
1280 |
+
"loss": 0.0009,
|
1281 |
+
"step": 212
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 21.3,
|
1285 |
+
"learning_rate": 4.12214747707527e-05,
|
1286 |
+
"loss": 0.0007,
|
1287 |
+
"step": 213
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 21.4,
|
1291 |
+
"learning_rate": 4.034852644323661e-05,
|
1292 |
+
"loss": 0.0012,
|
1293 |
+
"step": 214
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 21.5,
|
1297 |
+
"learning_rate": 3.94825784806235e-05,
|
1298 |
+
"loss": 0.0013,
|
1299 |
+
"step": 215
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 21.6,
|
1303 |
+
"learning_rate": 3.862373250574626e-05,
|
1304 |
+
"loss": 0.0009,
|
1305 |
+
"step": 216
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 21.7,
|
1309 |
+
"learning_rate": 3.7772089307987936e-05,
|
1310 |
+
"loss": 0.0008,
|
1311 |
+
"step": 217
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 21.8,
|
1315 |
+
"learning_rate": 3.6927748831453836e-05,
|
1316 |
+
"loss": 0.0009,
|
1317 |
+
"step": 218
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 21.9,
|
1321 |
+
"learning_rate": 3.6090810163242416e-05,
|
1322 |
+
"loss": 0.0006,
|
1323 |
+
"step": 219
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 22.0,
|
1327 |
+
"learning_rate": 3.526137152181723e-05,
|
1328 |
+
"loss": 0.0009,
|
1329 |
+
"step": 220
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 22.1,
|
1333 |
+
"learning_rate": 3.44395302454804e-05,
|
1334 |
+
"loss": 0.0009,
|
1335 |
+
"step": 221
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 22.2,
|
1339 |
+
"learning_rate": 3.362538278094957e-05,
|
1340 |
+
"loss": 0.0012,
|
1341 |
+
"step": 222
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 22.3,
|
1345 |
+
"learning_rate": 3.28190246720394e-05,
|
1346 |
+
"loss": 0.0005,
|
1347 |
+
"step": 223
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 22.4,
|
1351 |
+
"learning_rate": 3.202055054844921e-05,
|
1352 |
+
"loss": 0.001,
|
1353 |
+
"step": 224
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 22.5,
|
1357 |
+
"learning_rate": 3.123005411465766e-05,
|
1358 |
+
"loss": 0.0007,
|
1359 |
+
"step": 225
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 22.6,
|
1363 |
+
"learning_rate": 3.0447628138926156e-05,
|
1364 |
+
"loss": 0.0012,
|
1365 |
+
"step": 226
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 22.7,
|
1369 |
+
"learning_rate": 2.9673364442412e-05,
|
1370 |
+
"loss": 0.0011,
|
1371 |
+
"step": 227
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 22.8,
|
1375 |
+
"learning_rate": 2.890735388839295e-05,
|
1376 |
+
"loss": 0.0009,
|
1377 |
+
"step": 228
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 22.9,
|
1381 |
+
"learning_rate": 2.8149686371603767e-05,
|
1382 |
+
"loss": 0.0005,
|
1383 |
+
"step": 229
|
1384 |
+
},
|
1385 |
+
{
|
1386 |
+
"epoch": 23.0,
|
1387 |
+
"learning_rate": 2.7400450807686952e-05,
|
1388 |
+
"loss": 0.0007,
|
1389 |
+
"step": 230
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 23.1,
|
1393 |
+
"learning_rate": 2.665973512275778e-05,
|
1394 |
+
"loss": 0.0008,
|
1395 |
+
"step": 231
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 23.2,
|
1399 |
+
"learning_rate": 2.59276262430861e-05,
|
1400 |
+
"loss": 0.0007,
|
1401 |
+
"step": 232
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 23.3,
|
1405 |
+
"learning_rate": 2.520421008489493e-05,
|
1406 |
+
"loss": 0.0007,
|
1407 |
+
"step": 233
|
1408 |
+
},
|
1409 |
+
{
|
1410 |
+
"epoch": 23.4,
|
1411 |
+
"learning_rate": 2.4489571544277955e-05,
|
1412 |
+
"loss": 0.0005,
|
1413 |
+
"step": 234
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 23.5,
|
1417 |
+
"learning_rate": 2.3783794487236365e-05,
|
1418 |
+
"loss": 0.0007,
|
1419 |
+
"step": 235
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 23.6,
|
1423 |
+
"learning_rate": 2.308696173983711e-05,
|
1424 |
+
"loss": 0.0013,
|
1425 |
+
"step": 236
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 23.7,
|
1429 |
+
"learning_rate": 2.2399155078492708e-05,
|
1430 |
+
"loss": 0.0012,
|
1431 |
+
"step": 237
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 23.8,
|
1435 |
+
"learning_rate": 2.1720455220364444e-05,
|
1436 |
+
"loss": 0.0006,
|
1437 |
+
"step": 238
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 23.9,
|
1441 |
+
"learning_rate": 2.1050941813889836e-05,
|
1442 |
+
"loss": 0.0012,
|
1443 |
+
"step": 239
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 24.0,
|
1447 |
+
"learning_rate": 2.0390693429435627e-05,
|
1448 |
+
"loss": 0.0005,
|
1449 |
+
"step": 240
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"epoch": 24.1,
|
1453 |
+
"learning_rate": 1.9739787550077116e-05,
|
1454 |
+
"loss": 0.0007,
|
1455 |
+
"step": 241
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 24.2,
|
1459 |
+
"learning_rate": 1.9098300562505266e-05,
|
1460 |
+
"loss": 0.0006,
|
1461 |
+
"step": 242
|
1462 |
+
},
|
1463 |
+
{
|
1464 |
+
"epoch": 24.3,
|
1465 |
+
"learning_rate": 1.8466307748062205e-05,
|
1466 |
+
"loss": 0.0015,
|
1467 |
+
"step": 243
|
1468 |
+
},
|
1469 |
+
{
|
1470 |
+
"epoch": 24.4,
|
1471 |
+
"learning_rate": 1.784388327390687e-05,
|
1472 |
+
"loss": 0.0008,
|
1473 |
+
"step": 244
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 24.5,
|
1477 |
+
"learning_rate": 1.7231100184310956e-05,
|
1478 |
+
"loss": 0.0008,
|
1479 |
+
"step": 245
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 24.6,
|
1483 |
+
"learning_rate": 1.6628030392087e-05,
|
1484 |
+
"loss": 0.0006,
|
1485 |
+
"step": 246
|
1486 |
+
},
|
1487 |
+
{
|
1488 |
+
"epoch": 24.7,
|
1489 |
+
"learning_rate": 1.6034744670148972e-05,
|
1490 |
+
"loss": 0.0005,
|
1491 |
+
"step": 247
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 24.8,
|
1495 |
+
"learning_rate": 1.5451312643206827e-05,
|
1496 |
+
"loss": 0.0011,
|
1497 |
+
"step": 248
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 24.9,
|
1501 |
+
"learning_rate": 1.4877802779595762e-05,
|
1502 |
+
"loss": 0.0005,
|
1503 |
+
"step": 249
|
1504 |
+
},
|
1505 |
+
{
|
1506 |
+
"epoch": 25.0,
|
1507 |
+
"learning_rate": 1.4314282383241096e-05,
|
1508 |
+
"loss": 0.0008,
|
1509 |
+
"step": 250
|
1510 |
+
},
|
1511 |
+
{
|
1512 |
+
"epoch": 25.1,
|
1513 |
+
"learning_rate": 1.376081758575981e-05,
|
1514 |
+
"loss": 0.0006,
|
1515 |
+
"step": 251
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 25.2,
|
1519 |
+
"learning_rate": 1.3217473338699859e-05,
|
1520 |
+
"loss": 0.0005,
|
1521 |
+
"step": 252
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 25.3,
|
1525 |
+
"learning_rate": 1.2684313405917703e-05,
|
1526 |
+
"loss": 0.0007,
|
1527 |
+
"step": 253
|
1528 |
+
},
|
1529 |
+
{
|
1530 |
+
"epoch": 25.4,
|
1531 |
+
"learning_rate": 1.2161400356095375e-05,
|
1532 |
+
"loss": 0.0006,
|
1533 |
+
"step": 254
|
1534 |
+
},
|
1535 |
+
{
|
1536 |
+
"epoch": 25.5,
|
1537 |
+
"learning_rate": 1.1648795555397707e-05,
|
1538 |
+
"loss": 0.0006,
|
1539 |
+
"step": 255
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 25.6,
|
1543 |
+
"learning_rate": 1.1146559160270875e-05,
|
1544 |
+
"loss": 0.0007,
|
1545 |
+
"step": 256
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 25.7,
|
1549 |
+
"learning_rate": 1.0654750110382628e-05,
|
1550 |
+
"loss": 0.0005,
|
1551 |
+
"step": 257
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 25.8,
|
1555 |
+
"learning_rate": 1.0173426121705576e-05,
|
1556 |
+
"loss": 0.0017,
|
1557 |
+
"step": 258
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 25.9,
|
1561 |
+
"learning_rate": 9.702643679743817e-06,
|
1562 |
+
"loss": 0.0011,
|
1563 |
+
"step": 259
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 26.0,
|
1567 |
+
"learning_rate": 9.242458032904311e-06,
|
1568 |
+
"loss": 0.0005,
|
1569 |
+
"step": 260
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 26.1,
|
1573 |
+
"learning_rate": 8.792923186013024e-06,
|
1574 |
+
"loss": 0.001,
|
1575 |
+
"step": 261
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 26.2,
|
1579 |
+
"learning_rate": 8.354091893977401e-06,
|
1580 |
+
"loss": 0.0005,
|
1581 |
+
"step": 262
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 26.3,
|
1585 |
+
"learning_rate": 7.926015655595254e-06,
|
1586 |
+
"loss": 0.0007,
|
1587 |
+
"step": 263
|
1588 |
+
},
|
1589 |
+
{
|
1590 |
+
"epoch": 26.4,
|
1591 |
+
"learning_rate": 7.508744707511117e-06,
|
1592 |
+
"loss": 0.0012,
|
1593 |
+
"step": 264
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 26.5,
|
1597 |
+
"learning_rate": 7.102328018320858e-06,
|
1598 |
+
"loss": 0.0005,
|
1599 |
+
"step": 265
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 26.6,
|
1603 |
+
"learning_rate": 6.70681328282492e-06,
|
1604 |
+
"loss": 0.001,
|
1605 |
+
"step": 266
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 26.7,
|
1609 |
+
"learning_rate": 6.322246916431107e-06,
|
1610 |
+
"loss": 0.0005,
|
1611 |
+
"step": 267
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 26.8,
|
1615 |
+
"learning_rate": 5.948674049707603e-06,
|
1616 |
+
"loss": 0.0005,
|
1617 |
+
"step": 268
|
1618 |
+
},
|
1619 |
+
{
|
1620 |
+
"epoch": 26.9,
|
1621 |
+
"learning_rate": 5.58613852308667e-06,
|
1622 |
+
"loss": 0.0011,
|
1623 |
+
"step": 269
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 27.0,
|
1627 |
+
"learning_rate": 5.2346828817197655e-06,
|
1628 |
+
"loss": 0.0004,
|
1629 |
+
"step": 270
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 27.1,
|
1633 |
+
"learning_rate": 4.8943483704846475e-06,
|
1634 |
+
"loss": 0.0008,
|
1635 |
+
"step": 271
|
1636 |
+
},
|
1637 |
+
{
|
1638 |
+
"epoch": 27.2,
|
1639 |
+
"learning_rate": 4.565174929145188e-06,
|
1640 |
+
"loss": 0.0007,
|
1641 |
+
"step": 272
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 27.3,
|
1645 |
+
"learning_rate": 4.247201187664218e-06,
|
1646 |
+
"loss": 0.0009,
|
1647 |
+
"step": 273
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 27.4,
|
1651 |
+
"learning_rate": 3.940464461670135e-06,
|
1652 |
+
"loss": 0.0015,
|
1653 |
+
"step": 274
|
1654 |
+
},
|
1655 |
+
{
|
1656 |
+
"epoch": 27.5,
|
1657 |
+
"learning_rate": 3.6450007480777093e-06,
|
1658 |
+
"loss": 0.0004,
|
1659 |
+
"step": 275
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 27.6,
|
1663 |
+
"learning_rate": 3.360844720863765e-06,
|
1664 |
+
"loss": 0.0005,
|
1665 |
+
"step": 276
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 27.7,
|
1669 |
+
"learning_rate": 3.0880297269979653e-06,
|
1670 |
+
"loss": 0.001,
|
1671 |
+
"step": 277
|
1672 |
+
},
|
1673 |
+
{
|
1674 |
+
"epoch": 27.8,
|
1675 |
+
"learning_rate": 2.826587782529444e-06,
|
1676 |
+
"loss": 0.0006,
|
1677 |
+
"step": 278
|
1678 |
+
},
|
1679 |
+
{
|
1680 |
+
"epoch": 27.9,
|
1681 |
+
"learning_rate": 2.576549568829578e-06,
|
1682 |
+
"loss": 0.0005,
|
1683 |
+
"step": 279
|
1684 |
+
},
|
1685 |
+
{
|
1686 |
+
"epoch": 28.0,
|
1687 |
+
"learning_rate": 2.3379444289913342e-06,
|
1688 |
+
"loss": 0.0005,
|
1689 |
+
"step": 280
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 28.1,
|
1693 |
+
"learning_rate": 2.110800364385812e-06,
|
1694 |
+
"loss": 0.0005,
|
1695 |
+
"step": 281
|
1696 |
+
},
|
1697 |
+
{
|
1698 |
+
"epoch": 28.2,
|
1699 |
+
"learning_rate": 1.8951440313760837e-06,
|
1700 |
+
"loss": 0.0011,
|
1701 |
+
"step": 282
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 28.3,
|
1705 |
+
"learning_rate": 1.6910007381890081e-06,
|
1706 |
+
"loss": 0.0013,
|
1707 |
+
"step": 283
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 28.4,
|
1711 |
+
"learning_rate": 1.4983944419451613e-06,
|
1712 |
+
"loss": 0.0005,
|
1713 |
+
"step": 284
|
1714 |
+
},
|
1715 |
+
{
|
1716 |
+
"epoch": 28.5,
|
1717 |
+
"learning_rate": 1.317347745847386e-06,
|
1718 |
+
"loss": 0.0004,
|
1719 |
+
"step": 285
|
1720 |
+
},
|
1721 |
+
{
|
1722 |
+
"epoch": 28.6,
|
1723 |
+
"learning_rate": 1.1478818965281911e-06,
|
1724 |
+
"loss": 0.0007,
|
1725 |
+
"step": 286
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 28.7,
|
1729 |
+
"learning_rate": 9.900167815563465e-07,
|
1730 |
+
"loss": 0.0006,
|
1731 |
+
"step": 287
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 28.8,
|
1735 |
+
"learning_rate": 8.437709271030603e-07,
|
1736 |
+
"loss": 0.0009,
|
1737 |
+
"step": 288
|
1738 |
+
},
|
1739 |
+
{
|
1740 |
+
"epoch": 28.9,
|
1741 |
+
"learning_rate": 7.091614957677517e-07,
|
1742 |
+
"loss": 0.0006,
|
1743 |
+
"step": 289
|
1744 |
+
},
|
1745 |
+
{
|
1746 |
+
"epoch": 29.0,
|
1747 |
+
"learning_rate": 5.862042845640403e-07,
|
1748 |
+
"loss": 0.0006,
|
1749 |
+
"step": 290
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 29.1,
|
1753 |
+
"learning_rate": 4.7491372306580627e-07,
|
1754 |
+
"loss": 0.0007,
|
1755 |
+
"step": 291
|
1756 |
+
},
|
1757 |
+
{
|
1758 |
+
"epoch": 29.2,
|
1759 |
+
"learning_rate": 3.7530287171387843e-07,
|
1760 |
+
"loss": 0.0005,
|
1761 |
+
"step": 292
|
1762 |
+
},
|
1763 |
+
{
|
1764 |
+
"epoch": 29.3,
|
1765 |
+
"learning_rate": 2.873834202833159e-07,
|
1766 |
+
"loss": 0.0005,
|
1767 |
+
"step": 293
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 29.4,
|
1771 |
+
"learning_rate": 2.1116568651156076e-07,
|
1772 |
+
"loss": 0.0011,
|
1773 |
+
"step": 294
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 29.5,
|
1777 |
+
"learning_rate": 1.4665861488761813e-07,
|
1778 |
+
"loss": 0.0009,
|
1779 |
+
"step": 295
|
1780 |
+
},
|
1781 |
+
{
|
1782 |
+
"epoch": 29.6,
|
1783 |
+
"learning_rate": 9.386977560232879e-08,
|
1784 |
+
"loss": 0.0007,
|
1785 |
+
"step": 296
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 29.7,
|
1789 |
+
"learning_rate": 5.2805363660046734e-08,
|
1790 |
+
"loss": 0.0004,
|
1791 |
+
"step": 297
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 29.8,
|
1795 |
+
"learning_rate": 2.347019815158724e-08,
|
1796 |
+
"loss": 0.0007,
|
1797 |
+
"step": 298
|
1798 |
+
},
|
1799 |
+
{
|
1800 |
+
"epoch": 29.9,
|
1801 |
+
"learning_rate": 5.867721688690431e-09,
|
1802 |
+
"loss": 0.0005,
|
1803 |
+
"step": 299
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 30.0,
|
1807 |
+
"learning_rate": 0.0,
|
1808 |
+
"loss": 0.0012,
|
1809 |
+
"step": 300
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 30.0,
|
1813 |
+
"step": 300,
|
1814 |
+
"total_flos": 4.8779437400064e+16,
|
1815 |
+
"train_loss": 0.06055552892871977,
|
1816 |
+
"train_runtime": 2678.0048,
|
1817 |
+
"train_samples_per_second": 0.896,
|
1818 |
+
"train_steps_per_second": 0.112
|
1819 |
+
}
|
1820 |
+
],
|
1821 |
+
"logging_steps": 1.0,
|
1822 |
+
"max_steps": 300,
|
1823 |
+
"num_input_tokens_seen": 0,
|
1824 |
+
"num_train_epochs": 30,
|
1825 |
+
"save_steps": 100,
|
1826 |
+
"total_flos": 4.8779437400064e+16,
|
1827 |
+
"train_batch_size": 8,
|
1828 |
+
"trial_name": null,
|
1829 |
+
"trial_params": null
|
1830 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:edd1ff2662ea6e1ce9f61c06a04042e811d727cda68688c9974ca81b2da642b1
|
3 |
+
size 4728
|