Upload folder using huggingface_hub
Browse files- README.md +204 -0
- adapter_config.json +27 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +5 -0
- merges.txt +0 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +20 -0
- tokenizer_config.json +44 -0
- trainer_state.json +2181 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
ADDED
@@ -0,0 +1,204 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: Qwen/Qwen1.5-1.8B-Chat
|
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 0.8.2
|
adapter_config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "Qwen/Qwen1.5-1.8B-Chat",
|
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": 26,
|
13 |
+
"lora_dropout": 0.1,
|
14 |
+
"megatron_config": null,
|
15 |
+
"megatron_core": "megatron.core",
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 13,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"v_proj",
|
23 |
+
"q_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM",
|
26 |
+
"use_rslora": false
|
27 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ff26fa9fc3b29b5f5d8971c459fc247e451702ba679f6d0f7127805cdce715cc
|
3 |
+
size 10236368
|
added_tokens.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|endoftext|>": 151643,
|
3 |
+
"<|im_end|>": 151645,
|
4 |
+
"<|im_start|>": 151644
|
5 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ba42a7fe8a57e10690e631749654b4e3ade05ca46b016eeef19b7e8453411a02
|
3 |
+
size 20528122
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e4309f0ddf54f51237572ca56fecbe23d0d8e14e821dcf5af2ed8a199915128e
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9ad89ed24dc09d6874f2a51d56e2610358696056858d3efd22159964a77f1309
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>"
|
5 |
+
],
|
6 |
+
"eos_token": {
|
7 |
+
"content": "<|im_end|>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false
|
12 |
+
},
|
13 |
+
"pad_token": {
|
14 |
+
"content": "<|endoftext|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false
|
19 |
+
}
|
20 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"151643": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"151644": {
|
13 |
+
"content": "<|im_start|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"151645": {
|
21 |
+
"content": "<|im_end|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
}
|
28 |
+
},
|
29 |
+
"additional_special_tokens": [
|
30 |
+
"<|im_start|>",
|
31 |
+
"<|im_end|>"
|
32 |
+
],
|
33 |
+
"bos_token": null,
|
34 |
+
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content']}}{% if (loop.last and add_generation_prompt) or not loop.last %}{{ '<|im_end|>' + '\n'}}{% endif %}{% endfor %}{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
35 |
+
"clean_up_tokenization_spaces": false,
|
36 |
+
"eos_token": "<|im_end|>",
|
37 |
+
"errors": "replace",
|
38 |
+
"model_max_length": 32768,
|
39 |
+
"pad_token": "<|endoftext|>",
|
40 |
+
"padding_side": "right",
|
41 |
+
"split_special_tokens": false,
|
42 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
43 |
+
"unk_token": null
|
44 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2181 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.96,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1800,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 2.5e-06,
|
14 |
+
"loss": 1.3998,
|
15 |
+
"step": 5
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.01,
|
19 |
+
"learning_rate": 5e-06,
|
20 |
+
"loss": 1.3688,
|
21 |
+
"step": 10
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.01,
|
25 |
+
"learning_rate": 7.5e-06,
|
26 |
+
"loss": 1.4511,
|
27 |
+
"step": 15
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.01,
|
31 |
+
"learning_rate": 1e-05,
|
32 |
+
"loss": 1.5508,
|
33 |
+
"step": 20
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.01,
|
37 |
+
"learning_rate": 1.25e-05,
|
38 |
+
"loss": 1.4908,
|
39 |
+
"step": 25
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.02,
|
43 |
+
"learning_rate": 1.5e-05,
|
44 |
+
"loss": 1.4012,
|
45 |
+
"step": 30
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.02,
|
49 |
+
"learning_rate": 1.75e-05,
|
50 |
+
"loss": 1.4774,
|
51 |
+
"step": 35
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.02,
|
55 |
+
"learning_rate": 2e-05,
|
56 |
+
"loss": 1.5198,
|
57 |
+
"step": 40
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.02,
|
61 |
+
"learning_rate": 2.25e-05,
|
62 |
+
"loss": 1.1156,
|
63 |
+
"step": 45
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.03,
|
67 |
+
"learning_rate": 2.5e-05,
|
68 |
+
"loss": 1.2655,
|
69 |
+
"step": 50
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.03,
|
73 |
+
"learning_rate": 2.7500000000000004e-05,
|
74 |
+
"loss": 1.2638,
|
75 |
+
"step": 55
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.03,
|
79 |
+
"learning_rate": 3e-05,
|
80 |
+
"loss": 1.4318,
|
81 |
+
"step": 60
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.03,
|
85 |
+
"learning_rate": 3.2500000000000004e-05,
|
86 |
+
"loss": 1.2045,
|
87 |
+
"step": 65
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.04,
|
91 |
+
"learning_rate": 3.5e-05,
|
92 |
+
"loss": 1.2026,
|
93 |
+
"step": 70
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.04,
|
97 |
+
"learning_rate": 3.7500000000000003e-05,
|
98 |
+
"loss": 1.2322,
|
99 |
+
"step": 75
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.04,
|
103 |
+
"learning_rate": 4e-05,
|
104 |
+
"loss": 0.9502,
|
105 |
+
"step": 80
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.05,
|
109 |
+
"learning_rate": 4.25e-05,
|
110 |
+
"loss": 0.9484,
|
111 |
+
"step": 85
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.05,
|
115 |
+
"learning_rate": 4.5e-05,
|
116 |
+
"loss": 0.9976,
|
117 |
+
"step": 90
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.05,
|
121 |
+
"learning_rate": 4.75e-05,
|
122 |
+
"loss": 0.9654,
|
123 |
+
"step": 95
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.05,
|
127 |
+
"learning_rate": 5e-05,
|
128 |
+
"loss": 0.9907,
|
129 |
+
"step": 100
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.06,
|
133 |
+
"learning_rate": 4.9999021073200754e-05,
|
134 |
+
"loss": 0.8228,
|
135 |
+
"step": 105
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.06,
|
139 |
+
"learning_rate": 4.999608436946682e-05,
|
140 |
+
"loss": 0.9102,
|
141 |
+
"step": 110
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.06,
|
145 |
+
"learning_rate": 4.9991190118783634e-05,
|
146 |
+
"loss": 0.8813,
|
147 |
+
"step": 115
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.06,
|
151 |
+
"learning_rate": 4.998433870444026e-05,
|
152 |
+
"loss": 1.0755,
|
153 |
+
"step": 120
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.07,
|
157 |
+
"learning_rate": 4.9975530662999344e-05,
|
158 |
+
"loss": 1.0611,
|
159 |
+
"step": 125
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.07,
|
163 |
+
"learning_rate": 4.99647666842551e-05,
|
164 |
+
"loss": 0.8125,
|
165 |
+
"step": 130
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.07,
|
169 |
+
"learning_rate": 4.995204761117933e-05,
|
170 |
+
"loss": 0.9662,
|
171 |
+
"step": 135
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.07,
|
175 |
+
"learning_rate": 4.9937374439855336e-05,
|
176 |
+
"loss": 1.1076,
|
177 |
+
"step": 140
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.08,
|
181 |
+
"learning_rate": 4.9920748319399966e-05,
|
182 |
+
"loss": 0.7678,
|
183 |
+
"step": 145
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.08,
|
187 |
+
"learning_rate": 4.990217055187362e-05,
|
188 |
+
"loss": 0.9845,
|
189 |
+
"step": 150
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.08,
|
193 |
+
"learning_rate": 4.9881642592178265e-05,
|
194 |
+
"loss": 0.8852,
|
195 |
+
"step": 155
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.09,
|
199 |
+
"learning_rate": 4.985916604794348e-05,
|
200 |
+
"loss": 1.1478,
|
201 |
+
"step": 160
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.09,
|
205 |
+
"learning_rate": 4.983474267940059e-05,
|
206 |
+
"loss": 0.8057,
|
207 |
+
"step": 165
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.09,
|
211 |
+
"learning_rate": 4.980837439924478e-05,
|
212 |
+
"loss": 0.9576,
|
213 |
+
"step": 170
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.09,
|
217 |
+
"learning_rate": 4.978006327248537e-05,
|
218 |
+
"loss": 0.9848,
|
219 |
+
"step": 175
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.1,
|
223 |
+
"learning_rate": 4.974981151628398e-05,
|
224 |
+
"loss": 0.866,
|
225 |
+
"step": 180
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.1,
|
229 |
+
"learning_rate": 4.9717621499781034e-05,
|
230 |
+
"loss": 0.8123,
|
231 |
+
"step": 185
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.1,
|
235 |
+
"learning_rate": 4.9683495743910094e-05,
|
236 |
+
"loss": 0.8428,
|
237 |
+
"step": 190
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.1,
|
241 |
+
"learning_rate": 4.9647436921200514e-05,
|
242 |
+
"loss": 0.8741,
|
243 |
+
"step": 195
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.11,
|
247 |
+
"learning_rate": 4.960944785556814e-05,
|
248 |
+
"loss": 1.0406,
|
249 |
+
"step": 200
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.11,
|
253 |
+
"learning_rate": 4.9569531522094126e-05,
|
254 |
+
"loss": 0.951,
|
255 |
+
"step": 205
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.11,
|
259 |
+
"learning_rate": 4.952769104679195e-05,
|
260 |
+
"loss": 0.8859,
|
261 |
+
"step": 210
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.11,
|
265 |
+
"learning_rate": 4.9483929706362616e-05,
|
266 |
+
"loss": 0.9462,
|
267 |
+
"step": 215
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.12,
|
271 |
+
"learning_rate": 4.943825092793806e-05,
|
272 |
+
"loss": 0.7735,
|
273 |
+
"step": 220
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.12,
|
277 |
+
"learning_rate": 4.9390658288812675e-05,
|
278 |
+
"loss": 1.0622,
|
279 |
+
"step": 225
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.12,
|
283 |
+
"learning_rate": 4.9341155516163275e-05,
|
284 |
+
"loss": 0.8898,
|
285 |
+
"step": 230
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.13,
|
289 |
+
"learning_rate": 4.928974648675711e-05,
|
290 |
+
"loss": 1.0837,
|
291 |
+
"step": 235
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.13,
|
295 |
+
"learning_rate": 4.923643522664833e-05,
|
296 |
+
"loss": 1.0851,
|
297 |
+
"step": 240
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.13,
|
301 |
+
"learning_rate": 4.91812259108626e-05,
|
302 |
+
"loss": 0.8921,
|
303 |
+
"step": 245
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.13,
|
307 |
+
"learning_rate": 4.9124122863070255e-05,
|
308 |
+
"loss": 1.1334,
|
309 |
+
"step": 250
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.14,
|
313 |
+
"learning_rate": 4.9065130555247574e-05,
|
314 |
+
"loss": 1.0134,
|
315 |
+
"step": 255
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.14,
|
319 |
+
"learning_rate": 4.900425360732667e-05,
|
320 |
+
"loss": 0.8632,
|
321 |
+
"step": 260
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.14,
|
325 |
+
"learning_rate": 4.894149678683358e-05,
|
326 |
+
"loss": 0.8454,
|
327 |
+
"step": 265
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.14,
|
331 |
+
"learning_rate": 4.887686500851499e-05,
|
332 |
+
"loss": 1.0354,
|
333 |
+
"step": 270
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.15,
|
337 |
+
"learning_rate": 4.881036333395329e-05,
|
338 |
+
"loss": 0.8201,
|
339 |
+
"step": 275
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.15,
|
343 |
+
"learning_rate": 4.874199697117019e-05,
|
344 |
+
"loss": 1.0308,
|
345 |
+
"step": 280
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.15,
|
349 |
+
"learning_rate": 4.8671771274218864e-05,
|
350 |
+
"loss": 0.8313,
|
351 |
+
"step": 285
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.15,
|
355 |
+
"learning_rate": 4.859969174276465e-05,
|
356 |
+
"loss": 0.9553,
|
357 |
+
"step": 290
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 0.16,
|
361 |
+
"learning_rate": 4.852576402165436e-05,
|
362 |
+
"loss": 0.6957,
|
363 |
+
"step": 295
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 0.16,
|
367 |
+
"learning_rate": 4.8449993900474187e-05,
|
368 |
+
"loss": 0.8249,
|
369 |
+
"step": 300
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.16,
|
373 |
+
"learning_rate": 4.83723873130963e-05,
|
374 |
+
"loss": 0.8603,
|
375 |
+
"step": 305
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.17,
|
379 |
+
"learning_rate": 4.8292950337214147e-05,
|
380 |
+
"loss": 1.0159,
|
381 |
+
"step": 310
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.17,
|
385 |
+
"learning_rate": 4.82116891938665e-05,
|
386 |
+
"loss": 0.8829,
|
387 |
+
"step": 315
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.17,
|
391 |
+
"learning_rate": 4.812861024695023e-05,
|
392 |
+
"loss": 0.8929,
|
393 |
+
"step": 320
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.17,
|
397 |
+
"learning_rate": 4.804372000272196e-05,
|
398 |
+
"loss": 0.8426,
|
399 |
+
"step": 325
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.18,
|
403 |
+
"learning_rate": 4.795702510928848e-05,
|
404 |
+
"loss": 0.9862,
|
405 |
+
"step": 330
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.18,
|
409 |
+
"learning_rate": 4.786853235608616e-05,
|
410 |
+
"loss": 0.7721,
|
411 |
+
"step": 335
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 0.18,
|
415 |
+
"learning_rate": 4.77782486733492e-05,
|
416 |
+
"loss": 0.8675,
|
417 |
+
"step": 340
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.18,
|
421 |
+
"learning_rate": 4.768618113156694e-05,
|
422 |
+
"loss": 0.9827,
|
423 |
+
"step": 345
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.19,
|
427 |
+
"learning_rate": 4.75923369409301e-05,
|
428 |
+
"loss": 0.985,
|
429 |
+
"step": 350
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.19,
|
433 |
+
"learning_rate": 4.7496723450766125e-05,
|
434 |
+
"loss": 0.8595,
|
435 |
+
"step": 355
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 0.19,
|
439 |
+
"learning_rate": 4.739934814896364e-05,
|
440 |
+
"loss": 0.7193,
|
441 |
+
"step": 360
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.19,
|
445 |
+
"learning_rate": 4.730021866138607e-05,
|
446 |
+
"loss": 0.8829,
|
447 |
+
"step": 365
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 0.2,
|
451 |
+
"learning_rate": 4.719934275127434e-05,
|
452 |
+
"loss": 1.029,
|
453 |
+
"step": 370
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 0.2,
|
457 |
+
"learning_rate": 4.7096728318639025e-05,
|
458 |
+
"loss": 0.9495,
|
459 |
+
"step": 375
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.2,
|
463 |
+
"learning_rate": 4.6992383399641564e-05,
|
464 |
+
"loss": 1.0201,
|
465 |
+
"step": 380
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.21,
|
469 |
+
"learning_rate": 4.688631616596496e-05,
|
470 |
+
"loss": 1.0748,
|
471 |
+
"step": 385
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.21,
|
475 |
+
"learning_rate": 4.6778534924173816e-05,
|
476 |
+
"loss": 0.8893,
|
477 |
+
"step": 390
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.21,
|
481 |
+
"learning_rate": 4.6669048115063816e-05,
|
482 |
+
"loss": 0.9947,
|
483 |
+
"step": 395
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 0.21,
|
487 |
+
"learning_rate": 4.6557864313000695e-05,
|
488 |
+
"loss": 0.8135,
|
489 |
+
"step": 400
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.22,
|
493 |
+
"learning_rate": 4.644499222524873e-05,
|
494 |
+
"loss": 0.6328,
|
495 |
+
"step": 405
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 0.22,
|
499 |
+
"learning_rate": 4.633044069128884e-05,
|
500 |
+
"loss": 0.8124,
|
501 |
+
"step": 410
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.22,
|
505 |
+
"learning_rate": 4.621421868212635e-05,
|
506 |
+
"loss": 0.7317,
|
507 |
+
"step": 415
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.22,
|
511 |
+
"learning_rate": 4.609633529958841e-05,
|
512 |
+
"loss": 0.9451,
|
513 |
+
"step": 420
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.23,
|
517 |
+
"learning_rate": 4.597679977561122e-05,
|
518 |
+
"loss": 0.7934,
|
519 |
+
"step": 425
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.23,
|
523 |
+
"learning_rate": 4.5855621471516997e-05,
|
524 |
+
"loss": 0.8032,
|
525 |
+
"step": 430
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 0.23,
|
529 |
+
"learning_rate": 4.57328098772809e-05,
|
530 |
+
"loss": 0.8991,
|
531 |
+
"step": 435
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 0.23,
|
535 |
+
"learning_rate": 4.560837461078779e-05,
|
536 |
+
"loss": 0.9042,
|
537 |
+
"step": 440
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.24,
|
541 |
+
"learning_rate": 4.548232541707904e-05,
|
542 |
+
"loss": 0.6863,
|
543 |
+
"step": 445
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 0.24,
|
547 |
+
"learning_rate": 4.535467216758936e-05,
|
548 |
+
"loss": 0.8636,
|
549 |
+
"step": 450
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.24,
|
553 |
+
"learning_rate": 4.522542485937369e-05,
|
554 |
+
"loss": 1.0166,
|
555 |
+
"step": 455
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.25,
|
559 |
+
"learning_rate": 4.5094593614324334e-05,
|
560 |
+
"loss": 0.8609,
|
561 |
+
"step": 460
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.25,
|
565 |
+
"learning_rate": 4.4962188678378254e-05,
|
566 |
+
"loss": 0.9181,
|
567 |
+
"step": 465
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 0.25,
|
571 |
+
"learning_rate": 4.482822042071466e-05,
|
572 |
+
"loss": 0.8425,
|
573 |
+
"step": 470
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 0.25,
|
577 |
+
"learning_rate": 4.469269933294296e-05,
|
578 |
+
"loss": 1.0779,
|
579 |
+
"step": 475
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.26,
|
583 |
+
"learning_rate": 4.455563602828113e-05,
|
584 |
+
"loss": 0.7981,
|
585 |
+
"step": 480
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.26,
|
589 |
+
"learning_rate": 4.441704124072455e-05,
|
590 |
+
"loss": 0.8449,
|
591 |
+
"step": 485
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.26,
|
595 |
+
"learning_rate": 4.427692582420536e-05,
|
596 |
+
"loss": 0.9613,
|
597 |
+
"step": 490
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.26,
|
601 |
+
"learning_rate": 4.413530075174245e-05,
|
602 |
+
"loss": 1.0064,
|
603 |
+
"step": 495
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 0.27,
|
607 |
+
"learning_rate": 4.3992177114582124e-05,
|
608 |
+
"loss": 0.8283,
|
609 |
+
"step": 500
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.27,
|
613 |
+
"learning_rate": 4.384756612132952e-05,
|
614 |
+
"loss": 0.7479,
|
615 |
+
"step": 505
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 0.27,
|
619 |
+
"learning_rate": 4.370147909707077e-05,
|
620 |
+
"loss": 0.9646,
|
621 |
+
"step": 510
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 0.27,
|
625 |
+
"learning_rate": 4.3553927482486125e-05,
|
626 |
+
"loss": 0.7828,
|
627 |
+
"step": 515
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.28,
|
631 |
+
"learning_rate": 4.340492283295397e-05,
|
632 |
+
"loss": 1.1004,
|
633 |
+
"step": 520
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.28,
|
637 |
+
"learning_rate": 4.325447681764586e-05,
|
638 |
+
"loss": 0.94,
|
639 |
+
"step": 525
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.28,
|
643 |
+
"learning_rate": 4.3102601218612704e-05,
|
644 |
+
"loss": 0.8336,
|
645 |
+
"step": 530
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 0.29,
|
649 |
+
"learning_rate": 4.2949307929862034e-05,
|
650 |
+
"loss": 0.8661,
|
651 |
+
"step": 535
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 0.29,
|
655 |
+
"learning_rate": 4.279460895642652e-05,
|
656 |
+
"loss": 0.776,
|
657 |
+
"step": 540
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.29,
|
661 |
+
"learning_rate": 4.263851641342383e-05,
|
662 |
+
"loss": 0.7592,
|
663 |
+
"step": 545
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 0.29,
|
667 |
+
"learning_rate": 4.2481042525107854e-05,
|
668 |
+
"loss": 0.8982,
|
669 |
+
"step": 550
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.3,
|
673 |
+
"learning_rate": 4.2322199623911354e-05,
|
674 |
+
"loss": 1.0055,
|
675 |
+
"step": 555
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.3,
|
679 |
+
"learning_rate": 4.216200014948014e-05,
|
680 |
+
"loss": 1.029,
|
681 |
+
"step": 560
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.3,
|
685 |
+
"learning_rate": 4.200045664769892e-05,
|
686 |
+
"loss": 0.7536,
|
687 |
+
"step": 565
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 0.3,
|
691 |
+
"learning_rate": 4.1837581769708755e-05,
|
692 |
+
"loss": 0.9696,
|
693 |
+
"step": 570
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 0.31,
|
697 |
+
"learning_rate": 4.167338827091627e-05,
|
698 |
+
"loss": 0.809,
|
699 |
+
"step": 575
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.31,
|
703 |
+
"learning_rate": 4.150788900999477e-05,
|
704 |
+
"loss": 0.6986,
|
705 |
+
"step": 580
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 0.31,
|
709 |
+
"learning_rate": 4.13410969478772e-05,
|
710 |
+
"loss": 0.9191,
|
711 |
+
"step": 585
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.31,
|
715 |
+
"learning_rate": 4.1173025146741115e-05,
|
716 |
+
"loss": 0.7988,
|
717 |
+
"step": 590
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.32,
|
721 |
+
"learning_rate": 4.100368676898574e-05,
|
722 |
+
"loss": 1.2793,
|
723 |
+
"step": 595
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.32,
|
727 |
+
"learning_rate": 4.083309507620118e-05,
|
728 |
+
"loss": 0.9876,
|
729 |
+
"step": 600
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.32,
|
733 |
+
"learning_rate": 4.066126342812979e-05,
|
734 |
+
"loss": 0.9145,
|
735 |
+
"step": 605
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 0.33,
|
739 |
+
"learning_rate": 4.048820528162002e-05,
|
740 |
+
"loss": 0.7188,
|
741 |
+
"step": 610
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 0.33,
|
745 |
+
"learning_rate": 4.031393418957246e-05,
|
746 |
+
"loss": 1.0917,
|
747 |
+
"step": 615
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 0.33,
|
751 |
+
"learning_rate": 4.0138463799878475e-05,
|
752 |
+
"loss": 0.7947,
|
753 |
+
"step": 620
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.33,
|
757 |
+
"learning_rate": 3.996180785435144e-05,
|
758 |
+
"loss": 1.035,
|
759 |
+
"step": 625
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 0.34,
|
763 |
+
"learning_rate": 3.9783980187650496e-05,
|
764 |
+
"loss": 0.9993,
|
765 |
+
"step": 630
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.34,
|
769 |
+
"learning_rate": 3.960499472619713e-05,
|
770 |
+
"loss": 0.8827,
|
771 |
+
"step": 635
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 0.34,
|
775 |
+
"learning_rate": 3.942486548708454e-05,
|
776 |
+
"loss": 1.008,
|
777 |
+
"step": 640
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 0.34,
|
781 |
+
"learning_rate": 3.924360657697987e-05,
|
782 |
+
"loss": 0.9294,
|
783 |
+
"step": 645
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 0.35,
|
787 |
+
"learning_rate": 3.906123219101952e-05,
|
788 |
+
"loss": 0.9193,
|
789 |
+
"step": 650
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 0.35,
|
793 |
+
"learning_rate": 3.887775661169738e-05,
|
794 |
+
"loss": 0.9623,
|
795 |
+
"step": 655
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.35,
|
799 |
+
"learning_rate": 3.8693194207746385e-05,
|
800 |
+
"loss": 0.9708,
|
801 |
+
"step": 660
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.35,
|
805 |
+
"learning_rate": 3.8507559433013216e-05,
|
806 |
+
"loss": 0.8962,
|
807 |
+
"step": 665
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.36,
|
811 |
+
"learning_rate": 3.832086682532633e-05,
|
812 |
+
"loss": 0.9749,
|
813 |
+
"step": 670
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 0.36,
|
817 |
+
"learning_rate": 3.813313100535747e-05,
|
818 |
+
"loss": 0.8436,
|
819 |
+
"step": 675
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 0.36,
|
823 |
+
"learning_rate": 3.7944366675476686e-05,
|
824 |
+
"loss": 1.119,
|
825 |
+
"step": 680
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 0.37,
|
829 |
+
"learning_rate": 3.775458861860086e-05,
|
830 |
+
"loss": 0.766,
|
831 |
+
"step": 685
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 0.37,
|
835 |
+
"learning_rate": 3.756381169703607e-05,
|
836 |
+
"loss": 0.8493,
|
837 |
+
"step": 690
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 0.37,
|
841 |
+
"learning_rate": 3.737205085131359e-05,
|
842 |
+
"loss": 0.943,
|
843 |
+
"step": 695
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 0.37,
|
847 |
+
"learning_rate": 3.7179321099019916e-05,
|
848 |
+
"loss": 0.8762,
|
849 |
+
"step": 700
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.38,
|
853 |
+
"learning_rate": 3.69856375336206e-05,
|
854 |
+
"loss": 0.8062,
|
855 |
+
"step": 705
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 0.38,
|
859 |
+
"learning_rate": 3.6791015323278264e-05,
|
860 |
+
"loss": 1.0253,
|
861 |
+
"step": 710
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 0.38,
|
865 |
+
"learning_rate": 3.65954697096647e-05,
|
866 |
+
"loss": 0.7868,
|
867 |
+
"step": 715
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 0.38,
|
871 |
+
"learning_rate": 3.639901600676725e-05,
|
872 |
+
"loss": 1.0347,
|
873 |
+
"step": 720
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.39,
|
877 |
+
"learning_rate": 3.6201669599689465e-05,
|
878 |
+
"loss": 0.9483,
|
879 |
+
"step": 725
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.39,
|
883 |
+
"learning_rate": 3.600344594344628e-05,
|
884 |
+
"loss": 1.087,
|
885 |
+
"step": 730
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 0.39,
|
889 |
+
"learning_rate": 3.580436056175365e-05,
|
890 |
+
"loss": 1.0731,
|
891 |
+
"step": 735
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.39,
|
895 |
+
"learning_rate": 3.560442904581281e-05,
|
896 |
+
"loss": 0.7429,
|
897 |
+
"step": 740
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.4,
|
901 |
+
"learning_rate": 3.5403667053089265e-05,
|
902 |
+
"loss": 0.9416,
|
903 |
+
"step": 745
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 0.4,
|
907 |
+
"learning_rate": 3.520209030608662e-05,
|
908 |
+
"loss": 0.9878,
|
909 |
+
"step": 750
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 0.4,
|
913 |
+
"learning_rate": 3.4999714591115266e-05,
|
914 |
+
"loss": 0.9712,
|
915 |
+
"step": 755
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 0.41,
|
919 |
+
"learning_rate": 3.479655575705606e-05,
|
920 |
+
"loss": 1.045,
|
921 |
+
"step": 760
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 0.41,
|
925 |
+
"learning_rate": 3.459262971411918e-05,
|
926 |
+
"loss": 0.9611,
|
927 |
+
"step": 765
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 0.41,
|
931 |
+
"learning_rate": 3.43879524325981e-05,
|
932 |
+
"loss": 1.0409,
|
933 |
+
"step": 770
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.41,
|
937 |
+
"learning_rate": 3.418253994161892e-05,
|
938 |
+
"loss": 0.9732,
|
939 |
+
"step": 775
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.42,
|
943 |
+
"learning_rate": 3.3976408327885015e-05,
|
944 |
+
"loss": 0.7373,
|
945 |
+
"step": 780
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.42,
|
949 |
+
"learning_rate": 3.3769573734417256e-05,
|
950 |
+
"loss": 0.9754,
|
951 |
+
"step": 785
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 0.42,
|
955 |
+
"learning_rate": 3.356205235928978e-05,
|
956 |
+
"loss": 0.7527,
|
957 |
+
"step": 790
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 0.42,
|
961 |
+
"learning_rate": 3.33538604543614e-05,
|
962 |
+
"loss": 0.9828,
|
963 |
+
"step": 795
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 0.43,
|
967 |
+
"learning_rate": 3.3145014324002944e-05,
|
968 |
+
"loss": 0.8507,
|
969 |
+
"step": 800
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.43,
|
973 |
+
"learning_rate": 3.293553032382032e-05,
|
974 |
+
"loss": 0.9479,
|
975 |
+
"step": 805
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.43,
|
979 |
+
"learning_rate": 3.272542485937369e-05,
|
980 |
+
"loss": 0.7149,
|
981 |
+
"step": 810
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 0.43,
|
985 |
+
"learning_rate": 3.251471438489262e-05,
|
986 |
+
"loss": 0.829,
|
987 |
+
"step": 815
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 0.44,
|
991 |
+
"learning_rate": 3.230341540198754e-05,
|
992 |
+
"loss": 0.8014,
|
993 |
+
"step": 820
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 0.44,
|
997 |
+
"learning_rate": 3.209154445835742e-05,
|
998 |
+
"loss": 0.8209,
|
999 |
+
"step": 825
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 0.44,
|
1003 |
+
"learning_rate": 3.187911814649383e-05,
|
1004 |
+
"loss": 0.8609,
|
1005 |
+
"step": 830
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 0.45,
|
1009 |
+
"learning_rate": 3.166615310238153e-05,
|
1010 |
+
"loss": 0.8066,
|
1011 |
+
"step": 835
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.45,
|
1015 |
+
"learning_rate": 3.145266600419565e-05,
|
1016 |
+
"loss": 0.9395,
|
1017 |
+
"step": 840
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.45,
|
1021 |
+
"learning_rate": 3.1238673570995524e-05,
|
1022 |
+
"loss": 0.7853,
|
1023 |
+
"step": 845
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.45,
|
1027 |
+
"learning_rate": 3.102419256141536e-05,
|
1028 |
+
"loss": 0.9172,
|
1029 |
+
"step": 850
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 0.46,
|
1033 |
+
"learning_rate": 3.0809239772351824e-05,
|
1034 |
+
"loss": 1.2131,
|
1035 |
+
"step": 855
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 0.46,
|
1039 |
+
"learning_rate": 3.059383203764857e-05,
|
1040 |
+
"loss": 0.9192,
|
1041 |
+
"step": 860
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 0.46,
|
1045 |
+
"learning_rate": 3.0377986226777945e-05,
|
1046 |
+
"loss": 0.9534,
|
1047 |
+
"step": 865
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 0.46,
|
1051 |
+
"learning_rate": 3.016171924351985e-05,
|
1052 |
+
"loss": 0.7594,
|
1053 |
+
"step": 870
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 0.47,
|
1057 |
+
"learning_rate": 2.9945048024637935e-05,
|
1058 |
+
"loss": 0.8499,
|
1059 |
+
"step": 875
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.47,
|
1063 |
+
"learning_rate": 2.9727989538553232e-05,
|
1064 |
+
"loss": 0.9014,
|
1065 |
+
"step": 880
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.47,
|
1069 |
+
"learning_rate": 2.9510560784015257e-05,
|
1070 |
+
"loss": 0.7373,
|
1071 |
+
"step": 885
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 0.47,
|
1075 |
+
"learning_rate": 2.9292778788770797e-05,
|
1076 |
+
"loss": 1.1039,
|
1077 |
+
"step": 890
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 0.48,
|
1081 |
+
"learning_rate": 2.907466060823037e-05,
|
1082 |
+
"loss": 0.7907,
|
1083 |
+
"step": 895
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 0.48,
|
1087 |
+
"learning_rate": 2.885622332413256e-05,
|
1088 |
+
"loss": 0.942,
|
1089 |
+
"step": 900
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 0.48,
|
1093 |
+
"learning_rate": 2.863748404320628e-05,
|
1094 |
+
"loss": 0.6486,
|
1095 |
+
"step": 905
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 0.49,
|
1099 |
+
"learning_rate": 2.8418459895831068e-05,
|
1100 |
+
"loss": 1.0279,
|
1101 |
+
"step": 910
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.49,
|
1105 |
+
"learning_rate": 2.819916803469551e-05,
|
1106 |
+
"loss": 0.9169,
|
1107 |
+
"step": 915
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 0.49,
|
1111 |
+
"learning_rate": 2.7979625633454004e-05,
|
1112 |
+
"loss": 0.9556,
|
1113 |
+
"step": 920
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 0.49,
|
1117 |
+
"learning_rate": 2.775984988538175e-05,
|
1118 |
+
"loss": 0.8916,
|
1119 |
+
"step": 925
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.5,
|
1123 |
+
"learning_rate": 2.7539858002028314e-05,
|
1124 |
+
"loss": 0.7564,
|
1125 |
+
"step": 930
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 0.5,
|
1129 |
+
"learning_rate": 2.7319667211869725e-05,
|
1130 |
+
"loss": 0.8854,
|
1131 |
+
"step": 935
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 0.5,
|
1135 |
+
"learning_rate": 2.709929475895921e-05,
|
1136 |
+
"loss": 1.0735,
|
1137 |
+
"step": 940
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 0.5,
|
1141 |
+
"learning_rate": 2.6878757901576773e-05,
|
1142 |
+
"loss": 1.0539,
|
1143 |
+
"step": 945
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.51,
|
1147 |
+
"learning_rate": 2.6658073910877603e-05,
|
1148 |
+
"loss": 0.7653,
|
1149 |
+
"step": 950
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 0.51,
|
1153 |
+
"learning_rate": 2.6437260069539503e-05,
|
1154 |
+
"loss": 0.9273,
|
1155 |
+
"step": 955
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 0.51,
|
1159 |
+
"learning_rate": 2.6216333670409453e-05,
|
1160 |
+
"loss": 0.7204,
|
1161 |
+
"step": 960
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 0.51,
|
1165 |
+
"learning_rate": 2.5995312015149253e-05,
|
1166 |
+
"loss": 1.182,
|
1167 |
+
"step": 965
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 0.52,
|
1171 |
+
"learning_rate": 2.5774212412880634e-05,
|
1172 |
+
"loss": 0.699,
|
1173 |
+
"step": 970
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 0.52,
|
1177 |
+
"learning_rate": 2.555305217882967e-05,
|
1178 |
+
"loss": 1.0156,
|
1179 |
+
"step": 975
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.52,
|
1183 |
+
"learning_rate": 2.5331848632970772e-05,
|
1184 |
+
"loss": 1.144,
|
1185 |
+
"step": 980
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.53,
|
1189 |
+
"learning_rate": 2.5110619098670263e-05,
|
1190 |
+
"loss": 0.7747,
|
1191 |
+
"step": 985
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 0.53,
|
1195 |
+
"learning_rate": 2.488938090132974e-05,
|
1196 |
+
"loss": 0.9474,
|
1197 |
+
"step": 990
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 0.53,
|
1201 |
+
"learning_rate": 2.4668151367029234e-05,
|
1202 |
+
"loss": 0.9307,
|
1203 |
+
"step": 995
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 0.53,
|
1207 |
+
"learning_rate": 2.444694782117033e-05,
|
1208 |
+
"loss": 1.002,
|
1209 |
+
"step": 1000
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.54,
|
1213 |
+
"learning_rate": 2.422578758711937e-05,
|
1214 |
+
"loss": 0.8443,
|
1215 |
+
"step": 1005
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 0.54,
|
1219 |
+
"learning_rate": 2.4004687984850753e-05,
|
1220 |
+
"loss": 1.1606,
|
1221 |
+
"step": 1010
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.54,
|
1225 |
+
"learning_rate": 2.3783666329590553e-05,
|
1226 |
+
"loss": 0.875,
|
1227 |
+
"step": 1015
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.54,
|
1231 |
+
"learning_rate": 2.35627399304605e-05,
|
1232 |
+
"loss": 0.873,
|
1233 |
+
"step": 1020
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 0.55,
|
1237 |
+
"learning_rate": 2.334192608912241e-05,
|
1238 |
+
"loss": 0.9557,
|
1239 |
+
"step": 1025
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 0.55,
|
1243 |
+
"learning_rate": 2.3121242098423233e-05,
|
1244 |
+
"loss": 0.7154,
|
1245 |
+
"step": 1030
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 0.55,
|
1249 |
+
"learning_rate": 2.2900705241040792e-05,
|
1250 |
+
"loss": 0.8942,
|
1251 |
+
"step": 1035
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 0.55,
|
1255 |
+
"learning_rate": 2.268033278813028e-05,
|
1256 |
+
"loss": 0.9301,
|
1257 |
+
"step": 1040
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 0.56,
|
1261 |
+
"learning_rate": 2.2460141997971692e-05,
|
1262 |
+
"loss": 1.0188,
|
1263 |
+
"step": 1045
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.56,
|
1267 |
+
"learning_rate": 2.224015011461826e-05,
|
1268 |
+
"loss": 0.8915,
|
1269 |
+
"step": 1050
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.56,
|
1273 |
+
"learning_rate": 2.2020374366546006e-05,
|
1274 |
+
"loss": 0.7145,
|
1275 |
+
"step": 1055
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 0.57,
|
1279 |
+
"learning_rate": 2.1800831965304498e-05,
|
1280 |
+
"loss": 0.8901,
|
1281 |
+
"step": 1060
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 0.57,
|
1285 |
+
"learning_rate": 2.158154010416894e-05,
|
1286 |
+
"loss": 0.798,
|
1287 |
+
"step": 1065
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 0.57,
|
1291 |
+
"learning_rate": 2.1362515956793715e-05,
|
1292 |
+
"loss": 0.8913,
|
1293 |
+
"step": 1070
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 0.57,
|
1297 |
+
"learning_rate": 2.114377667586744e-05,
|
1298 |
+
"loss": 0.881,
|
1299 |
+
"step": 1075
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 0.58,
|
1303 |
+
"learning_rate": 2.0925339391769632e-05,
|
1304 |
+
"loss": 0.8176,
|
1305 |
+
"step": 1080
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 0.58,
|
1309 |
+
"learning_rate": 2.0707221211229205e-05,
|
1310 |
+
"loss": 0.9179,
|
1311 |
+
"step": 1085
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.58,
|
1315 |
+
"learning_rate": 2.0489439215984742e-05,
|
1316 |
+
"loss": 0.8757,
|
1317 |
+
"step": 1090
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 0.58,
|
1321 |
+
"learning_rate": 2.027201046144677e-05,
|
1322 |
+
"loss": 0.8905,
|
1323 |
+
"step": 1095
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 0.59,
|
1327 |
+
"learning_rate": 2.0054951975362067e-05,
|
1328 |
+
"loss": 0.9235,
|
1329 |
+
"step": 1100
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 0.59,
|
1333 |
+
"learning_rate": 1.9838280756480156e-05,
|
1334 |
+
"loss": 0.9577,
|
1335 |
+
"step": 1105
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 0.59,
|
1339 |
+
"learning_rate": 1.962201377322206e-05,
|
1340 |
+
"loss": 0.9302,
|
1341 |
+
"step": 1110
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 0.59,
|
1345 |
+
"learning_rate": 1.9406167962351435e-05,
|
1346 |
+
"loss": 0.8898,
|
1347 |
+
"step": 1115
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 0.6,
|
1351 |
+
"learning_rate": 1.9190760227648182e-05,
|
1352 |
+
"loss": 1.1963,
|
1353 |
+
"step": 1120
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.6,
|
1357 |
+
"learning_rate": 1.8975807438584642e-05,
|
1358 |
+
"loss": 0.9905,
|
1359 |
+
"step": 1125
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 0.6,
|
1363 |
+
"learning_rate": 1.8761326429004482e-05,
|
1364 |
+
"loss": 0.9767,
|
1365 |
+
"step": 1130
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 0.61,
|
1369 |
+
"learning_rate": 1.8547333995804352e-05,
|
1370 |
+
"loss": 0.9304,
|
1371 |
+
"step": 1135
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 0.61,
|
1375 |
+
"learning_rate": 1.8333846897618473e-05,
|
1376 |
+
"loss": 0.8,
|
1377 |
+
"step": 1140
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 0.61,
|
1381 |
+
"learning_rate": 1.812088185350618e-05,
|
1382 |
+
"loss": 0.7821,
|
1383 |
+
"step": 1145
|
1384 |
+
},
|
1385 |
+
{
|
1386 |
+
"epoch": 0.61,
|
1387 |
+
"learning_rate": 1.7908455541642584e-05,
|
1388 |
+
"loss": 1.0053,
|
1389 |
+
"step": 1150
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 0.62,
|
1393 |
+
"learning_rate": 1.7696584598012463e-05,
|
1394 |
+
"loss": 1.0378,
|
1395 |
+
"step": 1155
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.62,
|
1399 |
+
"learning_rate": 1.7485285615107387e-05,
|
1400 |
+
"loss": 0.7936,
|
1401 |
+
"step": 1160
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 0.62,
|
1405 |
+
"learning_rate": 1.7274575140626318e-05,
|
1406 |
+
"loss": 0.7954,
|
1407 |
+
"step": 1165
|
1408 |
+
},
|
1409 |
+
{
|
1410 |
+
"epoch": 0.62,
|
1411 |
+
"learning_rate": 1.706446967617968e-05,
|
1412 |
+
"loss": 0.9855,
|
1413 |
+
"step": 1170
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 0.63,
|
1417 |
+
"learning_rate": 1.6854985675997066e-05,
|
1418 |
+
"loss": 1.0846,
|
1419 |
+
"step": 1175
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 0.63,
|
1423 |
+
"learning_rate": 1.664613954563861e-05,
|
1424 |
+
"loss": 0.8494,
|
1425 |
+
"step": 1180
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 0.63,
|
1429 |
+
"learning_rate": 1.643794764071024e-05,
|
1430 |
+
"loss": 0.837,
|
1431 |
+
"step": 1185
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 0.63,
|
1435 |
+
"learning_rate": 1.623042626558275e-05,
|
1436 |
+
"loss": 0.8491,
|
1437 |
+
"step": 1190
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.64,
|
1441 |
+
"learning_rate": 1.602359167211499e-05,
|
1442 |
+
"loss": 1.0021,
|
1443 |
+
"step": 1195
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 0.64,
|
1447 |
+
"learning_rate": 1.5817460058381088e-05,
|
1448 |
+
"loss": 0.8144,
|
1449 |
+
"step": 1200
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"epoch": 0.64,
|
1453 |
+
"learning_rate": 1.5612047567401904e-05,
|
1454 |
+
"loss": 0.8625,
|
1455 |
+
"step": 1205
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 0.65,
|
1459 |
+
"learning_rate": 1.540737028588082e-05,
|
1460 |
+
"loss": 1.0831,
|
1461 |
+
"step": 1210
|
1462 |
+
},
|
1463 |
+
{
|
1464 |
+
"epoch": 0.65,
|
1465 |
+
"learning_rate": 1.520344424294394e-05,
|
1466 |
+
"loss": 0.668,
|
1467 |
+
"step": 1215
|
1468 |
+
},
|
1469 |
+
{
|
1470 |
+
"epoch": 0.65,
|
1471 |
+
"learning_rate": 1.5000285408884735e-05,
|
1472 |
+
"loss": 0.7774,
|
1473 |
+
"step": 1220
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 0.65,
|
1477 |
+
"learning_rate": 1.4797909693913376e-05,
|
1478 |
+
"loss": 1.0238,
|
1479 |
+
"step": 1225
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.66,
|
1483 |
+
"learning_rate": 1.4596332946910738e-05,
|
1484 |
+
"loss": 1.1004,
|
1485 |
+
"step": 1230
|
1486 |
+
},
|
1487 |
+
{
|
1488 |
+
"epoch": 0.66,
|
1489 |
+
"learning_rate": 1.4395570954187199e-05,
|
1490 |
+
"loss": 0.8647,
|
1491 |
+
"step": 1235
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 0.66,
|
1495 |
+
"learning_rate": 1.4195639438246355e-05,
|
1496 |
+
"loss": 0.794,
|
1497 |
+
"step": 1240
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 0.66,
|
1501 |
+
"learning_rate": 1.3996554056553723e-05,
|
1502 |
+
"loss": 0.8817,
|
1503 |
+
"step": 1245
|
1504 |
+
},
|
1505 |
+
{
|
1506 |
+
"epoch": 0.67,
|
1507 |
+
"learning_rate": 1.3798330400310539e-05,
|
1508 |
+
"loss": 0.7758,
|
1509 |
+
"step": 1250
|
1510 |
+
},
|
1511 |
+
{
|
1512 |
+
"epoch": 0.67,
|
1513 |
+
"learning_rate": 1.3600983993232758e-05,
|
1514 |
+
"loss": 1.1403,
|
1515 |
+
"step": 1255
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 0.67,
|
1519 |
+
"learning_rate": 1.3404530290335304e-05,
|
1520 |
+
"loss": 0.8733,
|
1521 |
+
"step": 1260
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.67,
|
1525 |
+
"learning_rate": 1.3208984676721741e-05,
|
1526 |
+
"loss": 0.8425,
|
1527 |
+
"step": 1265
|
1528 |
+
},
|
1529 |
+
{
|
1530 |
+
"epoch": 0.68,
|
1531 |
+
"learning_rate": 1.3014362466379407e-05,
|
1532 |
+
"loss": 0.8829,
|
1533 |
+
"step": 1270
|
1534 |
+
},
|
1535 |
+
{
|
1536 |
+
"epoch": 0.68,
|
1537 |
+
"learning_rate": 1.2820678900980093e-05,
|
1538 |
+
"loss": 0.8972,
|
1539 |
+
"step": 1275
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 0.68,
|
1543 |
+
"learning_rate": 1.262794914868642e-05,
|
1544 |
+
"loss": 0.6963,
|
1545 |
+
"step": 1280
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 0.69,
|
1549 |
+
"learning_rate": 1.2436188302963944e-05,
|
1550 |
+
"loss": 0.7988,
|
1551 |
+
"step": 1285
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 0.69,
|
1555 |
+
"learning_rate": 1.224541138139915e-05,
|
1556 |
+
"loss": 1.1047,
|
1557 |
+
"step": 1290
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 0.69,
|
1561 |
+
"learning_rate": 1.2055633324523324e-05,
|
1562 |
+
"loss": 0.9825,
|
1563 |
+
"step": 1295
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.69,
|
1567 |
+
"learning_rate": 1.1866868994642535e-05,
|
1568 |
+
"loss": 0.7205,
|
1569 |
+
"step": 1300
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 0.7,
|
1573 |
+
"learning_rate": 1.1679133174673684e-05,
|
1574 |
+
"loss": 0.6994,
|
1575 |
+
"step": 1305
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 0.7,
|
1579 |
+
"learning_rate": 1.1492440566986795e-05,
|
1580 |
+
"loss": 0.7823,
|
1581 |
+
"step": 1310
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 0.7,
|
1585 |
+
"learning_rate": 1.1306805792253614e-05,
|
1586 |
+
"loss": 0.9258,
|
1587 |
+
"step": 1315
|
1588 |
+
},
|
1589 |
+
{
|
1590 |
+
"epoch": 0.7,
|
1591 |
+
"learning_rate": 1.1122243388302621e-05,
|
1592 |
+
"loss": 0.7392,
|
1593 |
+
"step": 1320
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 0.71,
|
1597 |
+
"learning_rate": 1.0938767808980486e-05,
|
1598 |
+
"loss": 0.693,
|
1599 |
+
"step": 1325
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 0.71,
|
1603 |
+
"learning_rate": 1.0756393423020128e-05,
|
1604 |
+
"loss": 0.9524,
|
1605 |
+
"step": 1330
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.71,
|
1609 |
+
"learning_rate": 1.0575134512915463e-05,
|
1610 |
+
"loss": 0.9227,
|
1611 |
+
"step": 1335
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 0.71,
|
1615 |
+
"learning_rate": 1.0395005273802872e-05,
|
1616 |
+
"loss": 0.9156,
|
1617 |
+
"step": 1340
|
1618 |
+
},
|
1619 |
+
{
|
1620 |
+
"epoch": 0.72,
|
1621 |
+
"learning_rate": 1.0216019812349508e-05,
|
1622 |
+
"loss": 0.7696,
|
1623 |
+
"step": 1345
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 0.72,
|
1627 |
+
"learning_rate": 1.0038192145648567e-05,
|
1628 |
+
"loss": 0.8188,
|
1629 |
+
"step": 1350
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 0.72,
|
1633 |
+
"learning_rate": 9.861536200121534e-06,
|
1634 |
+
"loss": 1.1761,
|
1635 |
+
"step": 1355
|
1636 |
+
},
|
1637 |
+
{
|
1638 |
+
"epoch": 0.73,
|
1639 |
+
"learning_rate": 9.686065810427547e-06,
|
1640 |
+
"loss": 1.0429,
|
1641 |
+
"step": 1360
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 0.73,
|
1645 |
+
"learning_rate": 9.511794718379977e-06,
|
1646 |
+
"loss": 0.9353,
|
1647 |
+
"step": 1365
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.73,
|
1651 |
+
"learning_rate": 9.338736571870204e-06,
|
1652 |
+
"loss": 1.0411,
|
1653 |
+
"step": 1370
|
1654 |
+
},
|
1655 |
+
{
|
1656 |
+
"epoch": 0.73,
|
1657 |
+
"learning_rate": 9.166904923798821e-06,
|
1658 |
+
"loss": 0.8242,
|
1659 |
+
"step": 1375
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 0.74,
|
1663 |
+
"learning_rate": 8.996313231014256e-06,
|
1664 |
+
"loss": 0.977,
|
1665 |
+
"step": 1380
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 0.74,
|
1669 |
+
"learning_rate": 8.826974853258884e-06,
|
1670 |
+
"loss": 0.8923,
|
1671 |
+
"step": 1385
|
1672 |
+
},
|
1673 |
+
{
|
1674 |
+
"epoch": 0.74,
|
1675 |
+
"learning_rate": 8.658903052122798e-06,
|
1676 |
+
"loss": 0.859,
|
1677 |
+
"step": 1390
|
1678 |
+
},
|
1679 |
+
{
|
1680 |
+
"epoch": 0.74,
|
1681 |
+
"learning_rate": 8.492110990005228e-06,
|
1682 |
+
"loss": 0.9146,
|
1683 |
+
"step": 1395
|
1684 |
+
},
|
1685 |
+
{
|
1686 |
+
"epoch": 0.75,
|
1687 |
+
"learning_rate": 8.32661172908373e-06,
|
1688 |
+
"loss": 0.848,
|
1689 |
+
"step": 1400
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.75,
|
1693 |
+
"learning_rate": 8.162418230291249e-06,
|
1694 |
+
"loss": 1.0004,
|
1695 |
+
"step": 1405
|
1696 |
+
},
|
1697 |
+
{
|
1698 |
+
"epoch": 0.75,
|
1699 |
+
"learning_rate": 7.99954335230108e-06,
|
1700 |
+
"loss": 0.9763,
|
1701 |
+
"step": 1410
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 0.75,
|
1705 |
+
"learning_rate": 7.837999850519868e-06,
|
1706 |
+
"loss": 0.8771,
|
1707 |
+
"step": 1415
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 0.76,
|
1711 |
+
"learning_rate": 7.677800376088656e-06,
|
1712 |
+
"loss": 0.766,
|
1713 |
+
"step": 1420
|
1714 |
+
},
|
1715 |
+
{
|
1716 |
+
"epoch": 0.76,
|
1717 |
+
"learning_rate": 7.518957474892149e-06,
|
1718 |
+
"loss": 0.8326,
|
1719 |
+
"step": 1425
|
1720 |
+
},
|
1721 |
+
{
|
1722 |
+
"epoch": 0.76,
|
1723 |
+
"learning_rate": 7.3614835865761765e-06,
|
1724 |
+
"loss": 1.0521,
|
1725 |
+
"step": 1430
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 0.77,
|
1729 |
+
"learning_rate": 7.20539104357349e-06,
|
1730 |
+
"loss": 0.7602,
|
1731 |
+
"step": 1435
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.77,
|
1735 |
+
"learning_rate": 7.0506920701379735e-06,
|
1736 |
+
"loss": 1.0047,
|
1737 |
+
"step": 1440
|
1738 |
+
},
|
1739 |
+
{
|
1740 |
+
"epoch": 0.77,
|
1741 |
+
"learning_rate": 6.897398781387299e-06,
|
1742 |
+
"loss": 0.9478,
|
1743 |
+
"step": 1445
|
1744 |
+
},
|
1745 |
+
{
|
1746 |
+
"epoch": 0.77,
|
1747 |
+
"learning_rate": 6.745523182354147e-06,
|
1748 |
+
"loss": 0.8251,
|
1749 |
+
"step": 1450
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 0.78,
|
1753 |
+
"learning_rate": 6.59507716704604e-06,
|
1754 |
+
"loss": 0.9253,
|
1755 |
+
"step": 1455
|
1756 |
+
},
|
1757 |
+
{
|
1758 |
+
"epoch": 0.78,
|
1759 |
+
"learning_rate": 6.446072517513879e-06,
|
1760 |
+
"loss": 0.7583,
|
1761 |
+
"step": 1460
|
1762 |
+
},
|
1763 |
+
{
|
1764 |
+
"epoch": 0.78,
|
1765 |
+
"learning_rate": 6.298520902929234e-06,
|
1766 |
+
"loss": 1.1714,
|
1767 |
+
"step": 1465
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 0.78,
|
1771 |
+
"learning_rate": 6.152433878670486e-06,
|
1772 |
+
"loss": 0.8578,
|
1773 |
+
"step": 1470
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.79,
|
1777 |
+
"learning_rate": 6.007822885417882e-06,
|
1778 |
+
"loss": 0.9193,
|
1779 |
+
"step": 1475
|
1780 |
+
},
|
1781 |
+
{
|
1782 |
+
"epoch": 0.79,
|
1783 |
+
"learning_rate": 5.864699248257563e-06,
|
1784 |
+
"loss": 0.8938,
|
1785 |
+
"step": 1480
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 0.79,
|
1789 |
+
"learning_rate": 5.7230741757946485e-06,
|
1790 |
+
"loss": 0.9434,
|
1791 |
+
"step": 1485
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 0.79,
|
1795 |
+
"learning_rate": 5.582958759275456e-06,
|
1796 |
+
"loss": 0.8449,
|
1797 |
+
"step": 1490
|
1798 |
+
},
|
1799 |
+
{
|
1800 |
+
"epoch": 0.8,
|
1801 |
+
"learning_rate": 5.444363971718874e-06,
|
1802 |
+
"loss": 0.9795,
|
1803 |
+
"step": 1495
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 0.8,
|
1807 |
+
"learning_rate": 5.307300667057049e-06,
|
1808 |
+
"loss": 0.8855,
|
1809 |
+
"step": 1500
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 0.8,
|
1813 |
+
"learning_rate": 5.171779579285352e-06,
|
1814 |
+
"loss": 0.8158,
|
1815 |
+
"step": 1505
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.81,
|
1819 |
+
"learning_rate": 5.0378113216217495e-06,
|
1820 |
+
"loss": 0.8632,
|
1821 |
+
"step": 1510
|
1822 |
+
},
|
1823 |
+
{
|
1824 |
+
"epoch": 0.81,
|
1825 |
+
"learning_rate": 4.9054063856756674e-06,
|
1826 |
+
"loss": 1.0902,
|
1827 |
+
"step": 1515
|
1828 |
+
},
|
1829 |
+
{
|
1830 |
+
"epoch": 0.81,
|
1831 |
+
"learning_rate": 4.7745751406263165e-06,
|
1832 |
+
"loss": 0.7169,
|
1833 |
+
"step": 1520
|
1834 |
+
},
|
1835 |
+
{
|
1836 |
+
"epoch": 0.81,
|
1837 |
+
"learning_rate": 4.645327832410648e-06,
|
1838 |
+
"loss": 0.8929,
|
1839 |
+
"step": 1525
|
1840 |
+
},
|
1841 |
+
{
|
1842 |
+
"epoch": 0.82,
|
1843 |
+
"learning_rate": 4.5176745829209614e-06,
|
1844 |
+
"loss": 1.1013,
|
1845 |
+
"step": 1530
|
1846 |
+
},
|
1847 |
+
{
|
1848 |
+
"epoch": 0.82,
|
1849 |
+
"learning_rate": 4.391625389212214e-06,
|
1850 |
+
"loss": 1.049,
|
1851 |
+
"step": 1535
|
1852 |
+
},
|
1853 |
+
{
|
1854 |
+
"epoch": 0.82,
|
1855 |
+
"learning_rate": 4.2671901227191055e-06,
|
1856 |
+
"loss": 0.9125,
|
1857 |
+
"step": 1540
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.82,
|
1861 |
+
"learning_rate": 4.144378528483009e-06,
|
1862 |
+
"loss": 0.919,
|
1863 |
+
"step": 1545
|
1864 |
+
},
|
1865 |
+
{
|
1866 |
+
"epoch": 0.83,
|
1867 |
+
"learning_rate": 4.023200224388787e-06,
|
1868 |
+
"loss": 0.9128,
|
1869 |
+
"step": 1550
|
1870 |
+
},
|
1871 |
+
{
|
1872 |
+
"epoch": 0.83,
|
1873 |
+
"learning_rate": 3.903664700411588e-06,
|
1874 |
+
"loss": 0.8124,
|
1875 |
+
"step": 1555
|
1876 |
+
},
|
1877 |
+
{
|
1878 |
+
"epoch": 0.83,
|
1879 |
+
"learning_rate": 3.785781317873652e-06,
|
1880 |
+
"loss": 0.6316,
|
1881 |
+
"step": 1560
|
1882 |
+
},
|
1883 |
+
{
|
1884 |
+
"epoch": 0.83,
|
1885 |
+
"learning_rate": 3.6695593087111623e-06,
|
1886 |
+
"loss": 0.8769,
|
1887 |
+
"step": 1565
|
1888 |
+
},
|
1889 |
+
{
|
1890 |
+
"epoch": 0.84,
|
1891 |
+
"learning_rate": 3.5550077747512732e-06,
|
1892 |
+
"loss": 0.9873,
|
1893 |
+
"step": 1570
|
1894 |
+
},
|
1895 |
+
{
|
1896 |
+
"epoch": 0.84,
|
1897 |
+
"learning_rate": 3.4421356869993037e-06,
|
1898 |
+
"loss": 0.8763,
|
1899 |
+
"step": 1575
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.84,
|
1903 |
+
"learning_rate": 3.3309518849361814e-06,
|
1904 |
+
"loss": 1.015,
|
1905 |
+
"step": 1580
|
1906 |
+
},
|
1907 |
+
{
|
1908 |
+
"epoch": 0.85,
|
1909 |
+
"learning_rate": 3.2214650758261854e-06,
|
1910 |
+
"loss": 0.8868,
|
1911 |
+
"step": 1585
|
1912 |
+
},
|
1913 |
+
{
|
1914 |
+
"epoch": 0.85,
|
1915 |
+
"learning_rate": 3.1136838340350417e-06,
|
1916 |
+
"loss": 0.8198,
|
1917 |
+
"step": 1590
|
1918 |
+
},
|
1919 |
+
{
|
1920 |
+
"epoch": 0.85,
|
1921 |
+
"learning_rate": 3.007616600358437e-06,
|
1922 |
+
"loss": 0.9481,
|
1923 |
+
"step": 1595
|
1924 |
+
},
|
1925 |
+
{
|
1926 |
+
"epoch": 0.85,
|
1927 |
+
"learning_rate": 2.9032716813609723e-06,
|
1928 |
+
"loss": 0.8791,
|
1929 |
+
"step": 1600
|
1930 |
+
},
|
1931 |
+
{
|
1932 |
+
"epoch": 0.86,
|
1933 |
+
"learning_rate": 2.800657248725658e-06,
|
1934 |
+
"loss": 0.7747,
|
1935 |
+
"step": 1605
|
1936 |
+
},
|
1937 |
+
{
|
1938 |
+
"epoch": 0.86,
|
1939 |
+
"learning_rate": 2.699781338613938e-06,
|
1940 |
+
"loss": 0.7336,
|
1941 |
+
"step": 1610
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.86,
|
1945 |
+
"learning_rate": 2.600651851036362e-06,
|
1946 |
+
"loss": 0.9263,
|
1947 |
+
"step": 1615
|
1948 |
+
},
|
1949 |
+
{
|
1950 |
+
"epoch": 0.86,
|
1951 |
+
"learning_rate": 2.503276549233882e-06,
|
1952 |
+
"loss": 0.9969,
|
1953 |
+
"step": 1620
|
1954 |
+
},
|
1955 |
+
{
|
1956 |
+
"epoch": 0.87,
|
1957 |
+
"learning_rate": 2.4076630590699062e-06,
|
1958 |
+
"loss": 0.788,
|
1959 |
+
"step": 1625
|
1960 |
+
},
|
1961 |
+
{
|
1962 |
+
"epoch": 0.87,
|
1963 |
+
"learning_rate": 2.3138188684330596e-06,
|
1964 |
+
"loss": 1.0097,
|
1965 |
+
"step": 1630
|
1966 |
+
},
|
1967 |
+
{
|
1968 |
+
"epoch": 0.87,
|
1969 |
+
"learning_rate": 2.2217513266508007e-06,
|
1970 |
+
"loss": 1.0821,
|
1971 |
+
"step": 1635
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"epoch": 0.87,
|
1975 |
+
"learning_rate": 2.131467643913848e-06,
|
1976 |
+
"loss": 1.0141,
|
1977 |
+
"step": 1640
|
1978 |
+
},
|
1979 |
+
{
|
1980 |
+
"epoch": 0.88,
|
1981 |
+
"learning_rate": 2.042974890711524e-06,
|
1982 |
+
"loss": 0.8745,
|
1983 |
+
"step": 1645
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.88,
|
1987 |
+
"learning_rate": 1.956279997278043e-06,
|
1988 |
+
"loss": 0.963,
|
1989 |
+
"step": 1650
|
1990 |
+
},
|
1991 |
+
{
|
1992 |
+
"epoch": 0.88,
|
1993 |
+
"learning_rate": 1.8713897530497653e-06,
|
1994 |
+
"loss": 0.9889,
|
1995 |
+
"step": 1655
|
1996 |
+
},
|
1997 |
+
{
|
1998 |
+
"epoch": 0.89,
|
1999 |
+
"learning_rate": 1.7883108061335001e-06,
|
2000 |
+
"loss": 0.7698,
|
2001 |
+
"step": 1660
|
2002 |
+
},
|
2003 |
+
{
|
2004 |
+
"epoch": 0.89,
|
2005 |
+
"learning_rate": 1.7070496627858563e-06,
|
2006 |
+
"loss": 0.8428,
|
2007 |
+
"step": 1665
|
2008 |
+
},
|
2009 |
+
{
|
2010 |
+
"epoch": 0.89,
|
2011 |
+
"learning_rate": 1.6276126869037038e-06,
|
2012 |
+
"loss": 0.9162,
|
2013 |
+
"step": 1670
|
2014 |
+
},
|
2015 |
+
{
|
2016 |
+
"epoch": 0.89,
|
2017 |
+
"learning_rate": 1.5500060995258137e-06,
|
2018 |
+
"loss": 1.1577,
|
2019 |
+
"step": 1675
|
2020 |
+
},
|
2021 |
+
{
|
2022 |
+
"epoch": 0.9,
|
2023 |
+
"learning_rate": 1.4742359783456367e-06,
|
2024 |
+
"loss": 1.0998,
|
2025 |
+
"step": 1680
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.9,
|
2029 |
+
"learning_rate": 1.400308257235347e-06,
|
2030 |
+
"loss": 0.8622,
|
2031 |
+
"step": 1685
|
2032 |
+
},
|
2033 |
+
{
|
2034 |
+
"epoch": 0.9,
|
2035 |
+
"learning_rate": 1.3282287257811416e-06,
|
2036 |
+
"loss": 0.943,
|
2037 |
+
"step": 1690
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"epoch": 0.9,
|
2041 |
+
"learning_rate": 1.2580030288298183e-06,
|
2042 |
+
"loss": 0.9814,
|
2043 |
+
"step": 1695
|
2044 |
+
},
|
2045 |
+
{
|
2046 |
+
"epoch": 0.91,
|
2047 |
+
"learning_rate": 1.1896366660467173e-06,
|
2048 |
+
"loss": 0.7347,
|
2049 |
+
"step": 1700
|
2050 |
+
},
|
2051 |
+
{
|
2052 |
+
"epoch": 0.91,
|
2053 |
+
"learning_rate": 1.1231349914850143e-06,
|
2054 |
+
"loss": 0.8488,
|
2055 |
+
"step": 1705
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"epoch": 0.91,
|
2059 |
+
"learning_rate": 1.0585032131664257e-06,
|
2060 |
+
"loss": 1.0964,
|
2061 |
+
"step": 1710
|
2062 |
+
},
|
2063 |
+
{
|
2064 |
+
"epoch": 0.91,
|
2065 |
+
"learning_rate": 9.957463926733385e-07,
|
2066 |
+
"loss": 0.9621,
|
2067 |
+
"step": 1715
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.92,
|
2071 |
+
"learning_rate": 9.348694447524259e-07,
|
2072 |
+
"loss": 0.7326,
|
2073 |
+
"step": 1720
|
2074 |
+
},
|
2075 |
+
{
|
2076 |
+
"epoch": 0.92,
|
2077 |
+
"learning_rate": 8.758771369297536e-07,
|
2078 |
+
"loss": 0.9444,
|
2079 |
+
"step": 1725
|
2080 |
+
},
|
2081 |
+
{
|
2082 |
+
"epoch": 0.92,
|
2083 |
+
"learning_rate": 8.18774089137403e-07,
|
2084 |
+
"loss": 0.754,
|
2085 |
+
"step": 1730
|
2086 |
+
},
|
2087 |
+
{
|
2088 |
+
"epoch": 0.93,
|
2089 |
+
"learning_rate": 7.635647733516827e-07,
|
2090 |
+
"loss": 0.8082,
|
2091 |
+
"step": 1735
|
2092 |
+
},
|
2093 |
+
{
|
2094 |
+
"epoch": 0.93,
|
2095 |
+
"learning_rate": 7.10253513242895e-07,
|
2096 |
+
"loss": 0.8634,
|
2097 |
+
"step": 1740
|
2098 |
+
},
|
2099 |
+
{
|
2100 |
+
"epoch": 0.93,
|
2101 |
+
"learning_rate": 6.588444838367347e-07,
|
2102 |
+
"loss": 0.6584,
|
2103 |
+
"step": 1745
|
2104 |
+
},
|
2105 |
+
{
|
2106 |
+
"epoch": 0.93,
|
2107 |
+
"learning_rate": 6.093417111873306e-07,
|
2108 |
+
"loss": 0.9802,
|
2109 |
+
"step": 1750
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.94,
|
2113 |
+
"learning_rate": 5.617490720619511e-07,
|
2114 |
+
"loss": 0.9283,
|
2115 |
+
"step": 1755
|
2116 |
+
},
|
2117 |
+
{
|
2118 |
+
"epoch": 0.94,
|
2119 |
+
"learning_rate": 5.160702936373802e-07,
|
2120 |
+
"loss": 0.6214,
|
2121 |
+
"step": 1760
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 0.94,
|
2125 |
+
"learning_rate": 4.7230895320805044e-07,
|
2126 |
+
"loss": 1.0153,
|
2127 |
+
"step": 1765
|
2128 |
+
},
|
2129 |
+
{
|
2130 |
+
"epoch": 0.94,
|
2131 |
+
"learning_rate": 4.3046847790587653e-07,
|
2132 |
+
"loss": 0.8742,
|
2133 |
+
"step": 1770
|
2134 |
+
},
|
2135 |
+
{
|
2136 |
+
"epoch": 0.95,
|
2137 |
+
"learning_rate": 3.905521444318605e-07,
|
2138 |
+
"loss": 1.1606,
|
2139 |
+
"step": 1775
|
2140 |
+
},
|
2141 |
+
{
|
2142 |
+
"epoch": 0.95,
|
2143 |
+
"learning_rate": 3.5256307879948933e-07,
|
2144 |
+
"loss": 0.7276,
|
2145 |
+
"step": 1780
|
2146 |
+
},
|
2147 |
+
{
|
2148 |
+
"epoch": 0.95,
|
2149 |
+
"learning_rate": 3.1650425608991397e-07,
|
2150 |
+
"loss": 1.0695,
|
2151 |
+
"step": 1785
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.95,
|
2155 |
+
"learning_rate": 2.823785002189716e-07,
|
2156 |
+
"loss": 0.9512,
|
2157 |
+
"step": 1790
|
2158 |
+
},
|
2159 |
+
{
|
2160 |
+
"epoch": 0.96,
|
2161 |
+
"learning_rate": 2.5018848371601844e-07,
|
2162 |
+
"loss": 1.0723,
|
2163 |
+
"step": 1795
|
2164 |
+
},
|
2165 |
+
{
|
2166 |
+
"epoch": 0.96,
|
2167 |
+
"learning_rate": 2.1993672751463579e-07,
|
2168 |
+
"loss": 0.8787,
|
2169 |
+
"step": 1800
|
2170 |
+
}
|
2171 |
+
],
|
2172 |
+
"logging_steps": 5,
|
2173 |
+
"max_steps": 1875,
|
2174 |
+
"num_input_tokens_seen": 0,
|
2175 |
+
"num_train_epochs": 1,
|
2176 |
+
"save_steps": 200,
|
2177 |
+
"total_flos": 1.672777000943616e+16,
|
2178 |
+
"train_batch_size": 2,
|
2179 |
+
"trial_name": null,
|
2180 |
+
"trial_params": null
|
2181 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ac4dffc4d3093bfbba2a0667994381e3048eee3cb52eb31653da5a3c5d3e2673
|
3 |
+
size 4920
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|