Upload folder using huggingface_hub
Browse files- README.md +202 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
- trainer_state.json +747 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: lmsys/vicuna-7b-v1.5
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.11.1
|
adapter_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"q_proj"
|
25 |
+
],
|
26 |
+
"task_type": "CAUSAL_LM",
|
27 |
+
"use_dora": false,
|
28 |
+
"use_rslora": false
|
29 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:819a9495b096ee7d4d34c7515a198894e387ab90179044f69b9bc541aba1754d
|
3 |
+
size 16794200
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4b0c3a2b14145179a3c46351f10c7c5996a32562b2dc3e34ca840916b9641db3
|
3 |
+
size 33630266
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3163f54649bf9fead510f32587bfb5259b5258114d4eb4bac3429783b58f32a9
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:756eafc62480e03eeb0b73b046512d1ac28306a670e5e5dde1ba5dbb54035858
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": false,
|
35 |
+
"model_max_length": 4096,
|
36 |
+
"pad_token": "</s>",
|
37 |
+
"padding_side": "right",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,747 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 5.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1025,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.04878048780487805,
|
13 |
+
"grad_norm": 0.4036892056465149,
|
14 |
+
"learning_rate": 0.00019999478113897612,
|
15 |
+
"loss": 1.0282,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0975609756097561,
|
20 |
+
"grad_norm": 0.3629762828350067,
|
21 |
+
"learning_rate": 0.0001999791251006346,
|
22 |
+
"loss": 0.7875,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.14634146341463414,
|
27 |
+
"grad_norm": 0.4877622425556183,
|
28 |
+
"learning_rate": 0.0001999530335191093,
|
29 |
+
"loss": 0.5942,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.1951219512195122,
|
34 |
+
"grad_norm": 0.4466260075569153,
|
35 |
+
"learning_rate": 0.00019991650911776695,
|
36 |
+
"loss": 0.3866,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.24390243902439024,
|
41 |
+
"grad_norm": 0.649118959903717,
|
42 |
+
"learning_rate": 0.000199869555708923,
|
43 |
+
"loss": 0.3928,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.2926829268292683,
|
48 |
+
"grad_norm": 0.8762800097465515,
|
49 |
+
"learning_rate": 0.0001998121781934438,
|
50 |
+
"loss": 0.3258,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.34146341463414637,
|
55 |
+
"grad_norm": 0.9195622801780701,
|
56 |
+
"learning_rate": 0.0001997443825602349,
|
57 |
+
"loss": 0.2885,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.3902439024390244,
|
62 |
+
"grad_norm": 0.5856262445449829,
|
63 |
+
"learning_rate": 0.00019966617588561609,
|
64 |
+
"loss": 0.2888,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.43902439024390244,
|
69 |
+
"grad_norm": 0.5520443320274353,
|
70 |
+
"learning_rate": 0.00019957756633258265,
|
71 |
+
"loss": 0.2242,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.4878048780487805,
|
76 |
+
"grad_norm": 0.9435800909996033,
|
77 |
+
"learning_rate": 0.00019947856314995349,
|
78 |
+
"loss": 0.1629,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.5365853658536586,
|
83 |
+
"grad_norm": 0.9416623115539551,
|
84 |
+
"learning_rate": 0.00019936917667140555,
|
85 |
+
"loss": 0.1555,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.5853658536585366,
|
90 |
+
"grad_norm": 0.802065372467041,
|
91 |
+
"learning_rate": 0.0001992494183143955,
|
92 |
+
"loss": 0.1339,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.6341463414634146,
|
97 |
+
"grad_norm": 0.7007794380187988,
|
98 |
+
"learning_rate": 0.00019911930057896774,
|
99 |
+
"loss": 0.1191,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.6829268292682927,
|
104 |
+
"grad_norm": 0.6755990386009216,
|
105 |
+
"learning_rate": 0.00019897883704644983,
|
106 |
+
"loss": 0.1571,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.7317073170731707,
|
111 |
+
"grad_norm": 1.6951078176498413,
|
112 |
+
"learning_rate": 0.00019882804237803488,
|
113 |
+
"loss": 0.1309,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.7804878048780488,
|
118 |
+
"grad_norm": 0.567158579826355,
|
119 |
+
"learning_rate": 0.0001986669323132512,
|
120 |
+
"loss": 0.0766,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.8292682926829268,
|
125 |
+
"grad_norm": 0.8820038437843323,
|
126 |
+
"learning_rate": 0.0001984955236683196,
|
127 |
+
"loss": 0.0839,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.8780487804878049,
|
132 |
+
"grad_norm": 0.6520794034004211,
|
133 |
+
"learning_rate": 0.00019831383433439797,
|
134 |
+
"loss": 0.0863,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.926829268292683,
|
139 |
+
"grad_norm": 0.45519864559173584,
|
140 |
+
"learning_rate": 0.00019812188327571399,
|
141 |
+
"loss": 0.0889,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.975609756097561,
|
146 |
+
"grad_norm": 0.614235520362854,
|
147 |
+
"learning_rate": 0.00019791969052758562,
|
148 |
+
"loss": 0.0725,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.024390243902439,
|
153 |
+
"grad_norm": 0.2764686644077301,
|
154 |
+
"learning_rate": 0.00019770727719432994,
|
155 |
+
"loss": 0.0407,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 1.0731707317073171,
|
160 |
+
"grad_norm": 0.6082726716995239,
|
161 |
+
"learning_rate": 0.00019748466544706022,
|
162 |
+
"loss": 0.044,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 1.1219512195121952,
|
167 |
+
"grad_norm": 0.9295619130134583,
|
168 |
+
"learning_rate": 0.00019725187852137195,
|
169 |
+
"loss": 0.0675,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 1.170731707317073,
|
174 |
+
"grad_norm": 0.3758924603462219,
|
175 |
+
"learning_rate": 0.00019700894071491732,
|
176 |
+
"loss": 0.0439,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 1.2195121951219512,
|
181 |
+
"grad_norm": 0.46514585614204407,
|
182 |
+
"learning_rate": 0.00019675587738486936,
|
183 |
+
"loss": 0.0398,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 1.2682926829268293,
|
188 |
+
"grad_norm": 0.5870018005371094,
|
189 |
+
"learning_rate": 0.0001964927149452751,
|
190 |
+
"loss": 0.0406,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.3170731707317074,
|
195 |
+
"grad_norm": 0.30292996764183044,
|
196 |
+
"learning_rate": 0.00019621948086429844,
|
197 |
+
"loss": 0.028,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 1.3658536585365852,
|
202 |
+
"grad_norm": 0.47037121653556824,
|
203 |
+
"learning_rate": 0.00019593620366135337,
|
204 |
+
"loss": 0.0239,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 1.4146341463414633,
|
209 |
+
"grad_norm": 0.4176475405693054,
|
210 |
+
"learning_rate": 0.00019564291290412688,
|
211 |
+
"loss": 0.0281,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 1.4634146341463414,
|
216 |
+
"grad_norm": 0.3179157078266144,
|
217 |
+
"learning_rate": 0.00019533963920549306,
|
218 |
+
"loss": 0.0281,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 1.5121951219512195,
|
223 |
+
"grad_norm": 0.5817562937736511,
|
224 |
+
"learning_rate": 0.00019502641422031763,
|
225 |
+
"loss": 0.0296,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 1.5609756097560976,
|
230 |
+
"grad_norm": 0.7409655451774597,
|
231 |
+
"learning_rate": 0.00019470327064215383,
|
232 |
+
"loss": 0.029,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 1.6097560975609757,
|
237 |
+
"grad_norm": 0.4418310225009918,
|
238 |
+
"learning_rate": 0.00019437024219983028,
|
239 |
+
"loss": 0.0583,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 1.6585365853658538,
|
244 |
+
"grad_norm": 0.31637728214263916,
|
245 |
+
"learning_rate": 0.0001940273636539301,
|
246 |
+
"loss": 0.0354,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 1.7073170731707317,
|
251 |
+
"grad_norm": 0.22175493836402893,
|
252 |
+
"learning_rate": 0.00019367467079316279,
|
253 |
+
"loss": 0.0514,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.7560975609756098,
|
258 |
+
"grad_norm": 0.6636152267456055,
|
259 |
+
"learning_rate": 0.00019331220043062894,
|
260 |
+
"loss": 0.034,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 1.8048780487804879,
|
265 |
+
"grad_norm": 0.8424332141876221,
|
266 |
+
"learning_rate": 0.00019293999039997746,
|
267 |
+
"loss": 0.0299,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 1.8536585365853657,
|
272 |
+
"grad_norm": 0.6435155272483826,
|
273 |
+
"learning_rate": 0.00019255807955145677,
|
274 |
+
"loss": 0.0508,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 1.9024390243902438,
|
279 |
+
"grad_norm": 0.7734220027923584,
|
280 |
+
"learning_rate": 0.00019216650774785972,
|
281 |
+
"loss": 0.035,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 1.951219512195122,
|
286 |
+
"grad_norm": 0.2854250967502594,
|
287 |
+
"learning_rate": 0.0001917653158603628,
|
288 |
+
"loss": 0.0339,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 2.0,
|
293 |
+
"grad_norm": 0.6165639758110046,
|
294 |
+
"learning_rate": 0.0001913545457642601,
|
295 |
+
"loss": 0.0323,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 2.048780487804878,
|
300 |
+
"grad_norm": 0.2167205959558487,
|
301 |
+
"learning_rate": 0.00019093424033459248,
|
302 |
+
"loss": 0.026,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 2.097560975609756,
|
307 |
+
"grad_norm": 0.2723434269428253,
|
308 |
+
"learning_rate": 0.0001905044434416725,
|
309 |
+
"loss": 0.0176,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 2.1463414634146343,
|
314 |
+
"grad_norm": 0.4085879325866699,
|
315 |
+
"learning_rate": 0.00019006519994650513,
|
316 |
+
"loss": 0.0138,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 2.1951219512195124,
|
321 |
+
"grad_norm": 0.17931397259235382,
|
322 |
+
"learning_rate": 0.00018961655569610557,
|
323 |
+
"loss": 0.0358,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 2.2439024390243905,
|
328 |
+
"grad_norm": 0.3886450231075287,
|
329 |
+
"learning_rate": 0.00018915855751871363,
|
330 |
+
"loss": 0.0209,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 2.292682926829268,
|
335 |
+
"grad_norm": 0.11022531986236572,
|
336 |
+
"learning_rate": 0.0001886912532189061,
|
337 |
+
"loss": 0.0101,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 2.341463414634146,
|
342 |
+
"grad_norm": 0.14626094698905945,
|
343 |
+
"learning_rate": 0.00018821469157260685,
|
344 |
+
"loss": 0.0156,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 2.3902439024390243,
|
349 |
+
"grad_norm": 0.18015721440315247,
|
350 |
+
"learning_rate": 0.00018772892232199592,
|
351 |
+
"loss": 0.0156,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 2.4390243902439024,
|
356 |
+
"grad_norm": 0.3262254595756531,
|
357 |
+
"learning_rate": 0.00018723399617031751,
|
358 |
+
"loss": 0.0295,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 2.4878048780487805,
|
363 |
+
"grad_norm": 0.10063759982585907,
|
364 |
+
"learning_rate": 0.00018672996477658767,
|
365 |
+
"loss": 0.0164,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 2.5365853658536586,
|
370 |
+
"grad_norm": 0.11382050812244415,
|
371 |
+
"learning_rate": 0.00018621688075020227,
|
372 |
+
"loss": 0.0207,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 2.5853658536585367,
|
377 |
+
"grad_norm": 0.12307539582252502,
|
378 |
+
"learning_rate": 0.0001856947976454459,
|
379 |
+
"loss": 0.0326,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 2.6341463414634148,
|
384 |
+
"grad_norm": 0.18902955949306488,
|
385 |
+
"learning_rate": 0.00018516376995590187,
|
386 |
+
"loss": 0.0144,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 2.682926829268293,
|
391 |
+
"grad_norm": 0.18087974190711975,
|
392 |
+
"learning_rate": 0.00018462385310876443,
|
393 |
+
"loss": 0.0111,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 2.7317073170731705,
|
398 |
+
"grad_norm": 0.2894444465637207,
|
399 |
+
"learning_rate": 0.00018407510345905332,
|
400 |
+
"loss": 0.0081,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 2.7804878048780486,
|
405 |
+
"grad_norm": 0.24273361265659332,
|
406 |
+
"learning_rate": 0.0001835175782837318,
|
407 |
+
"loss": 0.0301,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 2.8292682926829267,
|
412 |
+
"grad_norm": 0.069428451359272,
|
413 |
+
"learning_rate": 0.00018295133577572799,
|
414 |
+
"loss": 0.0234,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 2.8780487804878048,
|
419 |
+
"grad_norm": 0.1845165342092514,
|
420 |
+
"learning_rate": 0.00018237643503786095,
|
421 |
+
"loss": 0.0112,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 2.926829268292683,
|
426 |
+
"grad_norm": 0.06373828649520874,
|
427 |
+
"learning_rate": 0.00018179293607667178,
|
428 |
+
"loss": 0.0241,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 2.975609756097561,
|
433 |
+
"grad_norm": 0.09466666728258133,
|
434 |
+
"learning_rate": 0.0001812008997961602,
|
435 |
+
"loss": 0.0151,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 3.024390243902439,
|
440 |
+
"grad_norm": 0.5068451762199402,
|
441 |
+
"learning_rate": 0.00018060038799142759,
|
442 |
+
"loss": 0.02,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 3.073170731707317,
|
447 |
+
"grad_norm": 0.17547158896923065,
|
448 |
+
"learning_rate": 0.00017999146334222695,
|
449 |
+
"loss": 0.0111,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 3.1219512195121952,
|
454 |
+
"grad_norm": 0.24108292162418365,
|
455 |
+
"learning_rate": 0.00017937418940642074,
|
456 |
+
"loss": 0.0095,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 3.1707317073170733,
|
461 |
+
"grad_norm": 0.24457822740077972,
|
462 |
+
"learning_rate": 0.00017874863061334657,
|
463 |
+
"loss": 0.0134,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 3.2195121951219514,
|
468 |
+
"grad_norm": 0.2185467779636383,
|
469 |
+
"learning_rate": 0.00017811485225709256,
|
470 |
+
"loss": 0.0135,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 3.2682926829268295,
|
475 |
+
"grad_norm": 0.12849357724189758,
|
476 |
+
"learning_rate": 0.00017747292048968187,
|
477 |
+
"loss": 0.0154,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 3.317073170731707,
|
482 |
+
"grad_norm": 0.09158976376056671,
|
483 |
+
"learning_rate": 0.0001768229023141682,
|
484 |
+
"loss": 0.0137,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 3.3658536585365852,
|
489 |
+
"grad_norm": 0.09520118683576584,
|
490 |
+
"learning_rate": 0.00017616486557764187,
|
491 |
+
"loss": 0.0147,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 3.4146341463414633,
|
496 |
+
"grad_norm": 0.11151307821273804,
|
497 |
+
"learning_rate": 0.00017549887896414851,
|
498 |
+
"loss": 0.0168,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 3.4634146341463414,
|
503 |
+
"grad_norm": 0.1175757572054863,
|
504 |
+
"learning_rate": 0.00017482501198751965,
|
505 |
+
"loss": 0.015,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 3.5121951219512195,
|
510 |
+
"grad_norm": 0.12314116209745407,
|
511 |
+
"learning_rate": 0.00017414333498411733,
|
512 |
+
"loss": 0.0179,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 3.5609756097560976,
|
517 |
+
"grad_norm": 0.08803991228342056,
|
518 |
+
"learning_rate": 0.00017345391910549238,
|
519 |
+
"loss": 0.0105,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 3.6097560975609757,
|
524 |
+
"grad_norm": 0.06382381916046143,
|
525 |
+
"learning_rate": 0.000172756836310958,
|
526 |
+
"loss": 0.0106,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 3.658536585365854,
|
531 |
+
"grad_norm": 0.47523975372314453,
|
532 |
+
"learning_rate": 0.0001720521593600787,
|
533 |
+
"loss": 0.0085,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 3.7073170731707314,
|
538 |
+
"grad_norm": 0.1268441379070282,
|
539 |
+
"learning_rate": 0.000171339961805076,
|
540 |
+
"loss": 0.0155,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 3.7560975609756095,
|
545 |
+
"grad_norm": 0.23719309270381927,
|
546 |
+
"learning_rate": 0.000170620317983151,
|
547 |
+
"loss": 0.015,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 3.8048780487804876,
|
552 |
+
"grad_norm": 0.0664207935333252,
|
553 |
+
"learning_rate": 0.00016989330300872576,
|
554 |
+
"loss": 0.0179,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 3.8536585365853657,
|
559 |
+
"grad_norm": 0.3121427893638611,
|
560 |
+
"learning_rate": 0.00016915899276560237,
|
561 |
+
"loss": 0.0138,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 3.902439024390244,
|
566 |
+
"grad_norm": 0.0784049853682518,
|
567 |
+
"learning_rate": 0.00016841746389904304,
|
568 |
+
"loss": 0.0114,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 3.951219512195122,
|
573 |
+
"grad_norm": 0.7239044904708862,
|
574 |
+
"learning_rate": 0.0001676687938077698,
|
575 |
+
"loss": 0.0251,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 4.0,
|
580 |
+
"grad_norm": 0.2333860546350479,
|
581 |
+
"learning_rate": 0.00016691306063588583,
|
582 |
+
"loss": 0.0135,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 4.048780487804878,
|
587 |
+
"grad_norm": 0.7087911367416382,
|
588 |
+
"learning_rate": 0.00016615034326471898,
|
589 |
+
"loss": 0.0195,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 4.097560975609756,
|
594 |
+
"grad_norm": 0.07190815359354019,
|
595 |
+
"learning_rate": 0.00016538072130458853,
|
596 |
+
"loss": 0.0095,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 4.146341463414634,
|
601 |
+
"grad_norm": 0.33951500058174133,
|
602 |
+
"learning_rate": 0.00016460427508649546,
|
603 |
+
"loss": 0.0131,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 4.195121951219512,
|
608 |
+
"grad_norm": 0.06381627917289734,
|
609 |
+
"learning_rate": 0.00016382108565373785,
|
610 |
+
"loss": 0.0119,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 4.2439024390243905,
|
615 |
+
"grad_norm": 0.44717633724212646,
|
616 |
+
"learning_rate": 0.00016303123475345182,
|
617 |
+
"loss": 0.0127,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 4.2926829268292686,
|
622 |
+
"grad_norm": 0.6674973368644714,
|
623 |
+
"learning_rate": 0.00016223480482807894,
|
624 |
+
"loss": 0.0111,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 4.341463414634147,
|
629 |
+
"grad_norm": 0.3303108215332031,
|
630 |
+
"learning_rate": 0.00016143187900676112,
|
631 |
+
"loss": 0.0159,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 4.390243902439025,
|
636 |
+
"grad_norm": 0.2972947359085083,
|
637 |
+
"learning_rate": 0.0001606225410966638,
|
638 |
+
"loss": 0.0086,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 4.439024390243903,
|
643 |
+
"grad_norm": 0.059205561876297,
|
644 |
+
"learning_rate": 0.00015980687557422854,
|
645 |
+
"loss": 0.0104,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 4.487804878048781,
|
650 |
+
"grad_norm": 0.08515360206365585,
|
651 |
+
"learning_rate": 0.00015898496757635536,
|
652 |
+
"loss": 0.0079,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 4.536585365853659,
|
657 |
+
"grad_norm": 0.14600469172000885,
|
658 |
+
"learning_rate": 0.00015815690289151658,
|
659 |
+
"loss": 0.0101,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 4.585365853658536,
|
664 |
+
"grad_norm": 0.05901546776294708,
|
665 |
+
"learning_rate": 0.0001573227679508024,
|
666 |
+
"loss": 0.0075,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 4.634146341463414,
|
671 |
+
"grad_norm": 0.3404502868652344,
|
672 |
+
"learning_rate": 0.00015648264981889934,
|
673 |
+
"loss": 0.0158,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 4.682926829268292,
|
678 |
+
"grad_norm": 0.0968211218714714,
|
679 |
+
"learning_rate": 0.00015563663618500302,
|
680 |
+
"loss": 0.0092,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 4.7317073170731705,
|
685 |
+
"grad_norm": 0.08040373027324677,
|
686 |
+
"learning_rate": 0.00015478481535366494,
|
687 |
+
"loss": 0.0088,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 4.780487804878049,
|
692 |
+
"grad_norm": 0.7208348512649536,
|
693 |
+
"learning_rate": 0.00015392727623557585,
|
694 |
+
"loss": 0.0132,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 4.829268292682927,
|
699 |
+
"grad_norm": 0.26821044087409973,
|
700 |
+
"learning_rate": 0.00015306410833828535,
|
701 |
+
"loss": 0.0113,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 4.878048780487805,
|
706 |
+
"grad_norm": 0.09240720421075821,
|
707 |
+
"learning_rate": 0.00015219540175685938,
|
708 |
+
"loss": 0.0096,
|
709 |
+
"step": 1000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 4.926829268292683,
|
713 |
+
"grad_norm": 0.3397311270236969,
|
714 |
+
"learning_rate": 0.00015132124716447627,
|
715 |
+
"loss": 0.0072,
|
716 |
+
"step": 1010
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 4.975609756097561,
|
720 |
+
"grad_norm": 0.07910922169685364,
|
721 |
+
"learning_rate": 0.00015044173580296266,
|
722 |
+
"loss": 0.0115,
|
723 |
+
"step": 1020
|
724 |
+
}
|
725 |
+
],
|
726 |
+
"logging_steps": 10,
|
727 |
+
"max_steps": 3075,
|
728 |
+
"num_input_tokens_seen": 0,
|
729 |
+
"num_train_epochs": 15,
|
730 |
+
"save_steps": 500,
|
731 |
+
"stateful_callbacks": {
|
732 |
+
"TrainerControl": {
|
733 |
+
"args": {
|
734 |
+
"should_epoch_stop": false,
|
735 |
+
"should_evaluate": false,
|
736 |
+
"should_log": false,
|
737 |
+
"should_save": true,
|
738 |
+
"should_training_stop": false
|
739 |
+
},
|
740 |
+
"attributes": {}
|
741 |
+
}
|
742 |
+
},
|
743 |
+
"total_flos": 4.1079468558336e+16,
|
744 |
+
"train_batch_size": 1,
|
745 |
+
"trial_name": null,
|
746 |
+
"trial_params": null
|
747 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:618d2fd08d5f40db203f14da632df01dd896f66e47028894bfc6986f0921daa4
|
3 |
+
size 5432
|