vitorandrade
commited on
Upload 14 files
Browse files- README.md +202 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +40 -0
- merges.txt +0 -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_config.json +324 -0
- trainer_state.json +553 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: microsoft/phi-2
|
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 0.7.2.dev0
|
adapter_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "microsoft/phi-2",
|
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": 16,
|
13 |
+
"lora_dropout": 0.05,
|
14 |
+
"megatron_config": null,
|
15 |
+
"megatron_core": "megatron.core",
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 8,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"v_proj",
|
23 |
+
"k_proj",
|
24 |
+
"dense",
|
25 |
+
"q_proj"
|
26 |
+
],
|
27 |
+
"task_type": "CAUSAL_LM",
|
28 |
+
"use_rslora": false
|
29 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:39d31056e2fe4ba013d4c596b065ad7fc99a42e4fd0e56f8aed7868d964b08f5
|
3 |
+
size 5251256
|
added_tokens.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"\t\t": 50294,
|
3 |
+
"\t\t\t": 50293,
|
4 |
+
"\t\t\t\t": 50292,
|
5 |
+
"\t\t\t\t\t": 50291,
|
6 |
+
"\t\t\t\t\t\t": 50290,
|
7 |
+
"\t\t\t\t\t\t\t": 50289,
|
8 |
+
"\t\t\t\t\t\t\t\t": 50288,
|
9 |
+
"\t\t\t\t\t\t\t\t\t": 50287,
|
10 |
+
" ": 50286,
|
11 |
+
" ": 50285,
|
12 |
+
" ": 50284,
|
13 |
+
" ": 50283,
|
14 |
+
" ": 50282,
|
15 |
+
" ": 50281,
|
16 |
+
" ": 50280,
|
17 |
+
" ": 50279,
|
18 |
+
" ": 50278,
|
19 |
+
" ": 50277,
|
20 |
+
" ": 50276,
|
21 |
+
" ": 50275,
|
22 |
+
" ": 50274,
|
23 |
+
" ": 50273,
|
24 |
+
" ": 50272,
|
25 |
+
" ": 50271,
|
26 |
+
" ": 50270,
|
27 |
+
" ": 50269,
|
28 |
+
" ": 50268,
|
29 |
+
" ": 50267,
|
30 |
+
" ": 50266,
|
31 |
+
" ": 50265,
|
32 |
+
" ": 50264,
|
33 |
+
" ": 50263,
|
34 |
+
" ": 50262,
|
35 |
+
" ": 50261,
|
36 |
+
" ": 50260,
|
37 |
+
" ": 50259,
|
38 |
+
" ": 50258,
|
39 |
+
" ": 50257
|
40 |
+
}
|
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:db409a47615bf2544f3b0ee00e3eba32fb790e5d24acb434c6e282c6607d27ad
|
3 |
+
size 10523834
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:acf21b24e4a07599bb56111e7d0598b86952d20faafcceab6c8411952554d231
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:be811bd180f7c6bb6a43303c80439ff2b55952c9a6cda5d5a90c165fcc1f694b
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|endoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<|endoftext|>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<|endoftext|>",
|
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_config.json
ADDED
@@ -0,0 +1,324 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"50256": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"50257": {
|
13 |
+
"content": " ",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": false
|
19 |
+
},
|
20 |
+
"50258": {
|
21 |
+
"content": " ",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": true,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": false
|
27 |
+
},
|
28 |
+
"50259": {
|
29 |
+
"content": " ",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": true,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": false
|
35 |
+
},
|
36 |
+
"50260": {
|
37 |
+
"content": " ",
|
38 |
+
"lstrip": false,
|
39 |
+
"normalized": true,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": false
|
43 |
+
},
|
44 |
+
"50261": {
|
45 |
+
"content": " ",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": true,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": false
|
51 |
+
},
|
52 |
+
"50262": {
|
53 |
+
"content": " ",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": true,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": false
|
59 |
+
},
|
60 |
+
"50263": {
|
61 |
+
"content": " ",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": true,
|
64 |
+
"rstrip": false,
|
65 |
+
"single_word": false,
|
66 |
+
"special": false
|
67 |
+
},
|
68 |
+
"50264": {
|
69 |
+
"content": " ",
|
70 |
+
"lstrip": false,
|
71 |
+
"normalized": true,
|
72 |
+
"rstrip": false,
|
73 |
+
"single_word": false,
|
74 |
+
"special": false
|
75 |
+
},
|
76 |
+
"50265": {
|
77 |
+
"content": " ",
|
78 |
+
"lstrip": false,
|
79 |
+
"normalized": true,
|
80 |
+
"rstrip": false,
|
81 |
+
"single_word": false,
|
82 |
+
"special": false
|
83 |
+
},
|
84 |
+
"50266": {
|
85 |
+
"content": " ",
|
86 |
+
"lstrip": false,
|
87 |
+
"normalized": true,
|
88 |
+
"rstrip": false,
|
89 |
+
"single_word": false,
|
90 |
+
"special": false
|
91 |
+
},
|
92 |
+
"50267": {
|
93 |
+
"content": " ",
|
94 |
+
"lstrip": false,
|
95 |
+
"normalized": true,
|
96 |
+
"rstrip": false,
|
97 |
+
"single_word": false,
|
98 |
+
"special": false
|
99 |
+
},
|
100 |
+
"50268": {
|
101 |
+
"content": " ",
|
102 |
+
"lstrip": false,
|
103 |
+
"normalized": true,
|
104 |
+
"rstrip": false,
|
105 |
+
"single_word": false,
|
106 |
+
"special": false
|
107 |
+
},
|
108 |
+
"50269": {
|
109 |
+
"content": " ",
|
110 |
+
"lstrip": false,
|
111 |
+
"normalized": true,
|
112 |
+
"rstrip": false,
|
113 |
+
"single_word": false,
|
114 |
+
"special": false
|
115 |
+
},
|
116 |
+
"50270": {
|
117 |
+
"content": " ",
|
118 |
+
"lstrip": false,
|
119 |
+
"normalized": true,
|
120 |
+
"rstrip": false,
|
121 |
+
"single_word": false,
|
122 |
+
"special": false
|
123 |
+
},
|
124 |
+
"50271": {
|
125 |
+
"content": " ",
|
126 |
+
"lstrip": false,
|
127 |
+
"normalized": true,
|
128 |
+
"rstrip": false,
|
129 |
+
"single_word": false,
|
130 |
+
"special": false
|
131 |
+
},
|
132 |
+
"50272": {
|
133 |
+
"content": " ",
|
134 |
+
"lstrip": false,
|
135 |
+
"normalized": true,
|
136 |
+
"rstrip": false,
|
137 |
+
"single_word": false,
|
138 |
+
"special": false
|
139 |
+
},
|
140 |
+
"50273": {
|
141 |
+
"content": " ",
|
142 |
+
"lstrip": false,
|
143 |
+
"normalized": true,
|
144 |
+
"rstrip": false,
|
145 |
+
"single_word": false,
|
146 |
+
"special": false
|
147 |
+
},
|
148 |
+
"50274": {
|
149 |
+
"content": " ",
|
150 |
+
"lstrip": false,
|
151 |
+
"normalized": true,
|
152 |
+
"rstrip": false,
|
153 |
+
"single_word": false,
|
154 |
+
"special": false
|
155 |
+
},
|
156 |
+
"50275": {
|
157 |
+
"content": " ",
|
158 |
+
"lstrip": false,
|
159 |
+
"normalized": true,
|
160 |
+
"rstrip": false,
|
161 |
+
"single_word": false,
|
162 |
+
"special": false
|
163 |
+
},
|
164 |
+
"50276": {
|
165 |
+
"content": " ",
|
166 |
+
"lstrip": false,
|
167 |
+
"normalized": true,
|
168 |
+
"rstrip": false,
|
169 |
+
"single_word": false,
|
170 |
+
"special": false
|
171 |
+
},
|
172 |
+
"50277": {
|
173 |
+
"content": " ",
|
174 |
+
"lstrip": false,
|
175 |
+
"normalized": true,
|
176 |
+
"rstrip": false,
|
177 |
+
"single_word": false,
|
178 |
+
"special": false
|
179 |
+
},
|
180 |
+
"50278": {
|
181 |
+
"content": " ",
|
182 |
+
"lstrip": false,
|
183 |
+
"normalized": true,
|
184 |
+
"rstrip": false,
|
185 |
+
"single_word": false,
|
186 |
+
"special": false
|
187 |
+
},
|
188 |
+
"50279": {
|
189 |
+
"content": " ",
|
190 |
+
"lstrip": false,
|
191 |
+
"normalized": true,
|
192 |
+
"rstrip": false,
|
193 |
+
"single_word": false,
|
194 |
+
"special": false
|
195 |
+
},
|
196 |
+
"50280": {
|
197 |
+
"content": " ",
|
198 |
+
"lstrip": false,
|
199 |
+
"normalized": true,
|
200 |
+
"rstrip": false,
|
201 |
+
"single_word": false,
|
202 |
+
"special": false
|
203 |
+
},
|
204 |
+
"50281": {
|
205 |
+
"content": " ",
|
206 |
+
"lstrip": false,
|
207 |
+
"normalized": true,
|
208 |
+
"rstrip": false,
|
209 |
+
"single_word": false,
|
210 |
+
"special": false
|
211 |
+
},
|
212 |
+
"50282": {
|
213 |
+
"content": " ",
|
214 |
+
"lstrip": false,
|
215 |
+
"normalized": true,
|
216 |
+
"rstrip": false,
|
217 |
+
"single_word": false,
|
218 |
+
"special": false
|
219 |
+
},
|
220 |
+
"50283": {
|
221 |
+
"content": " ",
|
222 |
+
"lstrip": false,
|
223 |
+
"normalized": true,
|
224 |
+
"rstrip": false,
|
225 |
+
"single_word": false,
|
226 |
+
"special": false
|
227 |
+
},
|
228 |
+
"50284": {
|
229 |
+
"content": " ",
|
230 |
+
"lstrip": false,
|
231 |
+
"normalized": true,
|
232 |
+
"rstrip": false,
|
233 |
+
"single_word": false,
|
234 |
+
"special": false
|
235 |
+
},
|
236 |
+
"50285": {
|
237 |
+
"content": " ",
|
238 |
+
"lstrip": false,
|
239 |
+
"normalized": true,
|
240 |
+
"rstrip": false,
|
241 |
+
"single_word": false,
|
242 |
+
"special": false
|
243 |
+
},
|
244 |
+
"50286": {
|
245 |
+
"content": " ",
|
246 |
+
"lstrip": false,
|
247 |
+
"normalized": true,
|
248 |
+
"rstrip": false,
|
249 |
+
"single_word": false,
|
250 |
+
"special": false
|
251 |
+
},
|
252 |
+
"50287": {
|
253 |
+
"content": "\t\t\t\t\t\t\t\t\t",
|
254 |
+
"lstrip": false,
|
255 |
+
"normalized": true,
|
256 |
+
"rstrip": false,
|
257 |
+
"single_word": false,
|
258 |
+
"special": false
|
259 |
+
},
|
260 |
+
"50288": {
|
261 |
+
"content": "\t\t\t\t\t\t\t\t",
|
262 |
+
"lstrip": false,
|
263 |
+
"normalized": true,
|
264 |
+
"rstrip": false,
|
265 |
+
"single_word": false,
|
266 |
+
"special": false
|
267 |
+
},
|
268 |
+
"50289": {
|
269 |
+
"content": "\t\t\t\t\t\t\t",
|
270 |
+
"lstrip": false,
|
271 |
+
"normalized": true,
|
272 |
+
"rstrip": false,
|
273 |
+
"single_word": false,
|
274 |
+
"special": false
|
275 |
+
},
|
276 |
+
"50290": {
|
277 |
+
"content": "\t\t\t\t\t\t",
|
278 |
+
"lstrip": false,
|
279 |
+
"normalized": true,
|
280 |
+
"rstrip": false,
|
281 |
+
"single_word": false,
|
282 |
+
"special": false
|
283 |
+
},
|
284 |
+
"50291": {
|
285 |
+
"content": "\t\t\t\t\t",
|
286 |
+
"lstrip": false,
|
287 |
+
"normalized": true,
|
288 |
+
"rstrip": false,
|
289 |
+
"single_word": false,
|
290 |
+
"special": false
|
291 |
+
},
|
292 |
+
"50292": {
|
293 |
+
"content": "\t\t\t\t",
|
294 |
+
"lstrip": false,
|
295 |
+
"normalized": true,
|
296 |
+
"rstrip": false,
|
297 |
+
"single_word": false,
|
298 |
+
"special": false
|
299 |
+
},
|
300 |
+
"50293": {
|
301 |
+
"content": "\t\t\t",
|
302 |
+
"lstrip": false,
|
303 |
+
"normalized": true,
|
304 |
+
"rstrip": false,
|
305 |
+
"single_word": false,
|
306 |
+
"special": false
|
307 |
+
},
|
308 |
+
"50294": {
|
309 |
+
"content": "\t\t",
|
310 |
+
"lstrip": false,
|
311 |
+
"normalized": true,
|
312 |
+
"rstrip": false,
|
313 |
+
"single_word": false,
|
314 |
+
"special": false
|
315 |
+
}
|
316 |
+
},
|
317 |
+
"bos_token": "<|endoftext|>",
|
318 |
+
"clean_up_tokenization_spaces": true,
|
319 |
+
"eos_token": "<|endoftext|>",
|
320 |
+
"model_max_length": 2048,
|
321 |
+
"pad_token": "<|endoftext|>",
|
322 |
+
"tokenizer_class": "CodeGenTokenizer",
|
323 |
+
"unk_token": "<|endoftext|>"
|
324 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,553 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 12.41322988975092,
|
5 |
+
"eval_steps": 50,
|
6 |
+
"global_step": 1900,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.33,
|
13 |
+
"learning_rate": 5.263157894736842e-06,
|
14 |
+
"loss": 10.6083,
|
15 |
+
"step": 50
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.33,
|
19 |
+
"eval_loss": 10.407150268554688,
|
20 |
+
"eval_runtime": 65.9544,
|
21 |
+
"eval_samples_per_second": 0.561,
|
22 |
+
"eval_steps_per_second": 0.561,
|
23 |
+
"step": 50
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.65,
|
27 |
+
"learning_rate": 1.0526315789473684e-05,
|
28 |
+
"loss": 10.0615,
|
29 |
+
"step": 100
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 0.65,
|
33 |
+
"eval_loss": 9.026963233947754,
|
34 |
+
"eval_runtime": 66.0596,
|
35 |
+
"eval_samples_per_second": 0.56,
|
36 |
+
"eval_steps_per_second": 0.56,
|
37 |
+
"step": 100
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.98,
|
41 |
+
"learning_rate": 1.578947368421053e-05,
|
42 |
+
"loss": 8.0748,
|
43 |
+
"step": 150
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 0.98,
|
47 |
+
"eval_loss": 6.740030288696289,
|
48 |
+
"eval_runtime": 66.4335,
|
49 |
+
"eval_samples_per_second": 0.557,
|
50 |
+
"eval_steps_per_second": 0.557,
|
51 |
+
"step": 150
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 1.31,
|
55 |
+
"learning_rate": 1.999831241633323e-05,
|
56 |
+
"loss": 6.2551,
|
57 |
+
"step": 200
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 1.31,
|
61 |
+
"eval_loss": 5.468978404998779,
|
62 |
+
"eval_runtime": 66.4722,
|
63 |
+
"eval_samples_per_second": 0.557,
|
64 |
+
"eval_steps_per_second": 0.557,
|
65 |
+
"step": 200
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 1.63,
|
69 |
+
"learning_rate": 1.9939306773179498e-05,
|
70 |
+
"loss": 5.3533,
|
71 |
+
"step": 250
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 1.63,
|
75 |
+
"eval_loss": 4.9109086990356445,
|
76 |
+
"eval_runtime": 66.1035,
|
77 |
+
"eval_samples_per_second": 0.56,
|
78 |
+
"eval_steps_per_second": 0.56,
|
79 |
+
"step": 250
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 1.96,
|
83 |
+
"learning_rate": 1.979649067087574e-05,
|
84 |
+
"loss": 4.9846,
|
85 |
+
"step": 300
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 1.96,
|
89 |
+
"eval_loss": 4.694249629974365,
|
90 |
+
"eval_runtime": 66.2471,
|
91 |
+
"eval_samples_per_second": 0.559,
|
92 |
+
"eval_steps_per_second": 0.559,
|
93 |
+
"step": 300
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 2.29,
|
97 |
+
"learning_rate": 1.9571068366759143e-05,
|
98 |
+
"loss": 4.8176,
|
99 |
+
"step": 350
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 2.29,
|
103 |
+
"eval_loss": 4.578726768493652,
|
104 |
+
"eval_runtime": 66.1659,
|
105 |
+
"eval_samples_per_second": 0.559,
|
106 |
+
"eval_steps_per_second": 0.559,
|
107 |
+
"step": 350
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 2.61,
|
111 |
+
"learning_rate": 1.9264940672148018e-05,
|
112 |
+
"loss": 4.7153,
|
113 |
+
"step": 400
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 2.61,
|
117 |
+
"eval_loss": 4.5052080154418945,
|
118 |
+
"eval_runtime": 66.4396,
|
119 |
+
"eval_samples_per_second": 0.557,
|
120 |
+
"eval_steps_per_second": 0.557,
|
121 |
+
"step": 400
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 2.94,
|
125 |
+
"learning_rate": 1.888068892427538e-05,
|
126 |
+
"loss": 4.6504,
|
127 |
+
"step": 450
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 2.94,
|
131 |
+
"eval_loss": 4.450746536254883,
|
132 |
+
"eval_runtime": 66.6083,
|
133 |
+
"eval_samples_per_second": 0.555,
|
134 |
+
"eval_steps_per_second": 0.555,
|
135 |
+
"step": 450
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 3.27,
|
139 |
+
"learning_rate": 1.842155321987566e-05,
|
140 |
+
"loss": 4.5897,
|
141 |
+
"step": 500
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 3.27,
|
145 |
+
"eval_loss": 4.411241054534912,
|
146 |
+
"eval_runtime": 66.3951,
|
147 |
+
"eval_samples_per_second": 0.557,
|
148 |
+
"eval_steps_per_second": 0.557,
|
149 |
+
"step": 500
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 3.59,
|
153 |
+
"learning_rate": 1.789140509396394e-05,
|
154 |
+
"loss": 4.5623,
|
155 |
+
"step": 550
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 3.59,
|
159 |
+
"eval_loss": 4.383650302886963,
|
160 |
+
"eval_runtime": 66.4603,
|
161 |
+
"eval_samples_per_second": 0.557,
|
162 |
+
"eval_steps_per_second": 0.557,
|
163 |
+
"step": 550
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 3.92,
|
167 |
+
"learning_rate": 1.729471487418621e-05,
|
168 |
+
"loss": 4.5371,
|
169 |
+
"step": 600
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 3.92,
|
173 |
+
"eval_loss": 4.359971523284912,
|
174 |
+
"eval_runtime": 66.5261,
|
175 |
+
"eval_samples_per_second": 0.556,
|
176 |
+
"eval_steps_per_second": 0.556,
|
177 |
+
"step": 600
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 4.25,
|
181 |
+
"learning_rate": 1.6636513986016215e-05,
|
182 |
+
"loss": 4.5189,
|
183 |
+
"step": 650
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 4.25,
|
187 |
+
"eval_loss": 4.340854167938232,
|
188 |
+
"eval_runtime": 66.0697,
|
189 |
+
"eval_samples_per_second": 0.56,
|
190 |
+
"eval_steps_per_second": 0.56,
|
191 |
+
"step": 650
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 4.57,
|
195 |
+
"learning_rate": 1.5922352526649803e-05,
|
196 |
+
"loss": 4.4797,
|
197 |
+
"step": 700
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 4.57,
|
201 |
+
"eval_loss": 4.326164722442627,
|
202 |
+
"eval_runtime": 66.0876,
|
203 |
+
"eval_samples_per_second": 0.56,
|
204 |
+
"eval_steps_per_second": 0.56,
|
205 |
+
"step": 700
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 4.9,
|
209 |
+
"learning_rate": 1.5158252465343242e-05,
|
210 |
+
"loss": 4.4863,
|
211 |
+
"step": 750
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 4.9,
|
215 |
+
"eval_loss": 4.313417911529541,
|
216 |
+
"eval_runtime": 66.3814,
|
217 |
+
"eval_samples_per_second": 0.557,
|
218 |
+
"eval_steps_per_second": 0.557,
|
219 |
+
"step": 750
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 5.23,
|
223 |
+
"learning_rate": 1.4350656864820733e-05,
|
224 |
+
"loss": 4.4571,
|
225 |
+
"step": 800
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 5.23,
|
229 |
+
"eval_loss": 4.301650047302246,
|
230 |
+
"eval_runtime": 66.0901,
|
231 |
+
"eval_samples_per_second": 0.56,
|
232 |
+
"eval_steps_per_second": 0.56,
|
233 |
+
"step": 800
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 5.55,
|
237 |
+
"learning_rate": 1.3506375551927546e-05,
|
238 |
+
"loss": 4.4562,
|
239 |
+
"step": 850
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 5.55,
|
243 |
+
"eval_loss": 4.292283058166504,
|
244 |
+
"eval_runtime": 66.2796,
|
245 |
+
"eval_samples_per_second": 0.558,
|
246 |
+
"eval_steps_per_second": 0.558,
|
247 |
+
"step": 850
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 5.88,
|
251 |
+
"learning_rate": 1.2632527695645993e-05,
|
252 |
+
"loss": 4.4527,
|
253 |
+
"step": 900
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 5.88,
|
257 |
+
"eval_loss": 4.286748886108398,
|
258 |
+
"eval_runtime": 66.2321,
|
259 |
+
"eval_samples_per_second": 0.559,
|
260 |
+
"eval_steps_per_second": 0.559,
|
261 |
+
"step": 900
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 6.21,
|
265 |
+
"learning_rate": 1.1736481776669307e-05,
|
266 |
+
"loss": 4.4292,
|
267 |
+
"step": 950
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 6.21,
|
271 |
+
"eval_loss": 4.277628421783447,
|
272 |
+
"eval_runtime": 66.6577,
|
273 |
+
"eval_samples_per_second": 0.555,
|
274 |
+
"eval_steps_per_second": 0.555,
|
275 |
+
"step": 950
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 6.53,
|
279 |
+
"learning_rate": 1.0825793454723325e-05,
|
280 |
+
"loss": 4.423,
|
281 |
+
"step": 1000
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 6.53,
|
285 |
+
"eval_loss": 4.27248477935791,
|
286 |
+
"eval_runtime": 66.2871,
|
287 |
+
"eval_samples_per_second": 0.558,
|
288 |
+
"eval_steps_per_second": 0.558,
|
289 |
+
"step": 1000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 6.86,
|
293 |
+
"learning_rate": 9.908141857552737e-06,
|
294 |
+
"loss": 4.423,
|
295 |
+
"step": 1050
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 6.86,
|
299 |
+
"eval_loss": 4.266038417816162,
|
300 |
+
"eval_runtime": 66.5179,
|
301 |
+
"eval_samples_per_second": 0.556,
|
302 |
+
"eval_steps_per_second": 0.556,
|
303 |
+
"step": 1050
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 7.19,
|
307 |
+
"learning_rate": 8.991264828797319e-06,
|
308 |
+
"loss": 4.4166,
|
309 |
+
"step": 1100
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 7.19,
|
313 |
+
"eval_loss": 4.2608160972595215,
|
314 |
+
"eval_runtime": 66.1693,
|
315 |
+
"eval_samples_per_second": 0.559,
|
316 |
+
"eval_steps_per_second": 0.559,
|
317 |
+
"step": 1100
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 7.51,
|
321 |
+
"learning_rate": 8.082893680762619e-06,
|
322 |
+
"loss": 4.4156,
|
323 |
+
"step": 1150
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 7.51,
|
327 |
+
"eval_loss": 4.257768630981445,
|
328 |
+
"eval_runtime": 66.5456,
|
329 |
+
"eval_samples_per_second": 0.556,
|
330 |
+
"eval_steps_per_second": 0.556,
|
331 |
+
"step": 1150
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 7.84,
|
335 |
+
"learning_rate": 7.190688002264308e-06,
|
336 |
+
"loss": 4.3988,
|
337 |
+
"step": 1200
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 7.84,
|
341 |
+
"eval_loss": 4.253511428833008,
|
342 |
+
"eval_runtime": 66.2492,
|
343 |
+
"eval_samples_per_second": 0.558,
|
344 |
+
"eval_steps_per_second": 0.558,
|
345 |
+
"step": 1200
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 8.17,
|
349 |
+
"learning_rate": 6.322171071261071e-06,
|
350 |
+
"loss": 4.4021,
|
351 |
+
"step": 1250
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 8.17,
|
355 |
+
"eval_loss": 4.251075744628906,
|
356 |
+
"eval_runtime": 66.2478,
|
357 |
+
"eval_samples_per_second": 0.559,
|
358 |
+
"eval_steps_per_second": 0.559,
|
359 |
+
"step": 1250
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 8.49,
|
363 |
+
"learning_rate": 5.484666416891109e-06,
|
364 |
+
"loss": 4.4038,
|
365 |
+
"step": 1300
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 8.49,
|
369 |
+
"eval_loss": 4.247603893280029,
|
370 |
+
"eval_runtime": 66.0732,
|
371 |
+
"eval_samples_per_second": 0.56,
|
372 |
+
"eval_steps_per_second": 0.56,
|
373 |
+
"step": 1300
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 8.82,
|
377 |
+
"learning_rate": 4.685236065835443e-06,
|
378 |
+
"loss": 4.3881,
|
379 |
+
"step": 1350
|
380 |
+
},
|
381 |
+
{
|
382 |
+
"epoch": 8.82,
|
383 |
+
"eval_loss": 4.24613094329834,
|
384 |
+
"eval_runtime": 66.4204,
|
385 |
+
"eval_samples_per_second": 0.557,
|
386 |
+
"eval_steps_per_second": 0.557,
|
387 |
+
"step": 1350
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 9.15,
|
391 |
+
"learning_rate": 3.930620993728434e-06,
|
392 |
+
"loss": 4.3943,
|
393 |
+
"step": 1400
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 9.15,
|
397 |
+
"eval_loss": 4.2452192306518555,
|
398 |
+
"eval_runtime": 66.4796,
|
399 |
+
"eval_samples_per_second": 0.557,
|
400 |
+
"eval_steps_per_second": 0.557,
|
401 |
+
"step": 1400
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 9.47,
|
405 |
+
"learning_rate": 3.2271842837425917e-06,
|
406 |
+
"loss": 4.3822,
|
407 |
+
"step": 1450
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 9.47,
|
411 |
+
"eval_loss": 4.24231481552124,
|
412 |
+
"eval_runtime": 66.529,
|
413 |
+
"eval_samples_per_second": 0.556,
|
414 |
+
"eval_steps_per_second": 0.556,
|
415 |
+
"step": 1450
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 9.8,
|
419 |
+
"learning_rate": 2.580857471647186e-06,
|
420 |
+
"loss": 4.4064,
|
421 |
+
"step": 1500
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 9.8,
|
425 |
+
"eval_loss": 4.241450309753418,
|
426 |
+
"eval_runtime": 66.3417,
|
427 |
+
"eval_samples_per_second": 0.558,
|
428 |
+
"eval_steps_per_second": 0.558,
|
429 |
+
"step": 1500
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 10.13,
|
433 |
+
"learning_rate": 1.9970905297711606e-06,
|
434 |
+
"loss": 4.3793,
|
435 |
+
"step": 1550
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 10.13,
|
439 |
+
"eval_loss": 4.239691257476807,
|
440 |
+
"eval_runtime": 66.2256,
|
441 |
+
"eval_samples_per_second": 0.559,
|
442 |
+
"eval_steps_per_second": 0.559,
|
443 |
+
"step": 1550
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 10.45,
|
447 |
+
"learning_rate": 1.4808059116167306e-06,
|
448 |
+
"loss": 4.385,
|
449 |
+
"step": 1600
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 10.45,
|
453 |
+
"eval_loss": 4.239114761352539,
|
454 |
+
"eval_runtime": 66.4764,
|
455 |
+
"eval_samples_per_second": 0.557,
|
456 |
+
"eval_steps_per_second": 0.557,
|
457 |
+
"step": 1600
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 10.78,
|
461 |
+
"learning_rate": 1.0363570446297999e-06,
|
462 |
+
"loss": 4.3919,
|
463 |
+
"step": 1650
|
464 |
+
},
|
465 |
+
{
|
466 |
+
"epoch": 10.78,
|
467 |
+
"eval_loss": 4.239101409912109,
|
468 |
+
"eval_runtime": 66.7261,
|
469 |
+
"eval_samples_per_second": 0.555,
|
470 |
+
"eval_steps_per_second": 0.555,
|
471 |
+
"step": 1650
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 11.11,
|
475 |
+
"learning_rate": 6.67491621125429e-07,
|
476 |
+
"loss": 4.3934,
|
477 |
+
"step": 1700
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 11.11,
|
481 |
+
"eval_loss": 4.238786220550537,
|
482 |
+
"eval_runtime": 66.2354,
|
483 |
+
"eval_samples_per_second": 0.559,
|
484 |
+
"eval_steps_per_second": 0.559,
|
485 |
+
"step": 1700
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 11.43,
|
489 |
+
"learning_rate": 3.773199969074959e-07,
|
490 |
+
"loss": 4.3825,
|
491 |
+
"step": 1750
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 11.43,
|
495 |
+
"eval_loss": 4.238570690155029,
|
496 |
+
"eval_runtime": 66.3209,
|
497 |
+
"eval_samples_per_second": 0.558,
|
498 |
+
"eval_steps_per_second": 0.558,
|
499 |
+
"step": 1750
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 11.76,
|
503 |
+
"learning_rate": 1.6828896405244988e-07,
|
504 |
+
"loss": 4.3835,
|
505 |
+
"step": 1800
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 11.76,
|
509 |
+
"eval_loss": 4.2383294105529785,
|
510 |
+
"eval_runtime": 66.2218,
|
511 |
+
"eval_samples_per_second": 0.559,
|
512 |
+
"eval_steps_per_second": 0.559,
|
513 |
+
"step": 1800
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 12.09,
|
517 |
+
"learning_rate": 4.216111901092501e-08,
|
518 |
+
"loss": 4.3851,
|
519 |
+
"step": 1850
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 12.09,
|
523 |
+
"eval_loss": 4.238271236419678,
|
524 |
+
"eval_runtime": 66.3755,
|
525 |
+
"eval_samples_per_second": 0.557,
|
526 |
+
"eval_steps_per_second": 0.557,
|
527 |
+
"step": 1850
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 12.41,
|
531 |
+
"learning_rate": 0.0,
|
532 |
+
"loss": 4.3848,
|
533 |
+
"step": 1900
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 12.41,
|
537 |
+
"eval_loss": 4.2382659912109375,
|
538 |
+
"eval_runtime": 66.5156,
|
539 |
+
"eval_samples_per_second": 0.556,
|
540 |
+
"eval_steps_per_second": 0.556,
|
541 |
+
"step": 1900
|
542 |
+
}
|
543 |
+
],
|
544 |
+
"logging_steps": 50,
|
545 |
+
"max_steps": 1900,
|
546 |
+
"num_input_tokens_seen": 0,
|
547 |
+
"num_train_epochs": 13,
|
548 |
+
"save_steps": 50,
|
549 |
+
"total_flos": 7.73200764370944e+17,
|
550 |
+
"train_batch_size": 2,
|
551 |
+
"trial_name": null,
|
552 |
+
"trial_params": null
|
553 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:89f8c4e4507c58c91936fc72fe761d55556bcb6ac898f1f8169cc09b62f453dd
|
3 |
+
size 4600
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|