Zhangyuxuan
commited on
Commit
·
cb2e05d
1
Parent(s):
ee10471
Upload 26 files
Browse files- README.md +208 -0
- adapter_config.json +23 -0
- adapter_model.safetensors +3 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/pytorch_model.bin +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/trainer_state.json +356 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-200/optimizer.pt +3 -0
- checkpoint-200/pytorch_model.bin +3 -0
- checkpoint-200/rng_state.pth +3 -0
- checkpoint-200/scaler.pt +3 -0
- checkpoint-200/scheduler.pt +3 -0
- checkpoint-200/trainer_state.json +84 -0
- checkpoint-200/training_args.bin +3 -0
- checkpoint-800/optimizer.pt +3 -0
- checkpoint-800/pytorch_model.bin +3 -0
- checkpoint-800/rng_state.pth +3 -0
- checkpoint-800/scaler.pt +3 -0
- checkpoint-800/scheduler.pt +3 -0
- checkpoint-800/trainer_state.json +288 -0
- checkpoint-800/training_args.bin +3 -0
- runs/Nov18_15-12-17_8d5c564f7749/1700320359.117123/events.out.tfevents.1700320359.8d5c564f7749.1407.1 +3 -0
- runs/Nov18_15-12-17_8d5c564f7749/events.out.tfevents.1700320359.8d5c564f7749.1407.0 +3 -0
README.md
ADDED
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: daryl149/llama-2-7b-chat-hf
|
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 |
+
## Training procedure
|
203 |
+
|
204 |
+
|
205 |
+
### Framework versions
|
206 |
+
|
207 |
+
|
208 |
+
- PEFT 0.6.3.dev0
|
adapter_config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "daryl149/llama-2-7b-chat-hf",
|
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 |
+
"lora_alpha": 16,
|
12 |
+
"lora_dropout": 0.05,
|
13 |
+
"modules_to_save": null,
|
14 |
+
"peft_type": "LORA",
|
15 |
+
"r": 8,
|
16 |
+
"rank_pattern": {},
|
17 |
+
"revision": null,
|
18 |
+
"target_modules": [
|
19 |
+
"q_proj",
|
20 |
+
"v_proj"
|
21 |
+
],
|
22 |
+
"task_type": "CAUSAL_LM"
|
23 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e44ce263e6fd885f50d82ca515b9325375b43ee36ededb75acf161ce88bc2e41
|
3 |
+
size 48
|
checkpoint-1000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8290adcb2d3d49a98abd53357d39f003c13fd3d1c1c9a5d9cbbbd3ac8c365ed2
|
3 |
+
size 1384
|
checkpoint-1000/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:752ee5cc57f02b1154ed0ab6dcad57a525d88203fc7d2ccd6b16a6857832cdb5
|
3 |
+
size 16823434
|
checkpoint-1000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b112168fdf143f95d6c624e7d3e2916bebb636d8571a68ae550d0909bc94a3bf
|
3 |
+
size 14244
|
checkpoint-1000/scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:996e482d7113d1552c854585970963491dff89aace5a33b5bc82a19f32014cec
|
3 |
+
size 988
|
checkpoint-1000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ba5be8d4920b483459b92c9166226c1ba0cde8e409cf44efa18bfdd06782c55a
|
3 |
+
size 1064
|
checkpoint-1000/trainer_state.json
ADDED
@@ -0,0 +1,356 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": NaN,
|
3 |
+
"best_model_checkpoint": "japanese-lora-alpaca/checkpoint-200",
|
4 |
+
"epoch": 2.5631549476041915,
|
5 |
+
"global_step": 1000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.05,
|
12 |
+
"learning_rate": 0.0,
|
13 |
+
"loss": 1.9688795594149578e+30,
|
14 |
+
"step": 20
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.1,
|
18 |
+
"learning_rate": 0.0,
|
19 |
+
"loss": 1.317319656026326e+31,
|
20 |
+
"step": 40
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.15,
|
24 |
+
"learning_rate": 0.0,
|
25 |
+
"loss": 1.431492931568305e+30,
|
26 |
+
"step": 60
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.2,
|
30 |
+
"learning_rate": 0.0,
|
31 |
+
"loss": 1.2596809078781474e+29,
|
32 |
+
"step": 80
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.26,
|
36 |
+
"learning_rate": 0.0,
|
37 |
+
"loss": 7.78457860626805e+29,
|
38 |
+
"step": 100
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.31,
|
42 |
+
"learning_rate": 0.0,
|
43 |
+
"loss": 4.3205824045723626e+29,
|
44 |
+
"step": 120
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.36,
|
48 |
+
"learning_rate": 0.0,
|
49 |
+
"loss": 4.2652842037741146e+26,
|
50 |
+
"step": 140
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.41,
|
54 |
+
"learning_rate": 0.0,
|
55 |
+
"loss": 1.2042161347636073e+31,
|
56 |
+
"step": 160
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.46,
|
60 |
+
"learning_rate": 4.2e-05,
|
61 |
+
"loss": 5.4732492073607035e+32,
|
62 |
+
"step": 180
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.51,
|
66 |
+
"learning_rate": 0.000102,
|
67 |
+
"loss": 5.026698446384883e+28,
|
68 |
+
"step": 200
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.51,
|
72 |
+
"eval_loss": NaN,
|
73 |
+
"eval_runtime": 104.6208,
|
74 |
+
"eval_samples_per_second": 19.117,
|
75 |
+
"eval_steps_per_second": 2.39,
|
76 |
+
"step": 200
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 0.56,
|
80 |
+
"learning_rate": 0.000162,
|
81 |
+
"loss": 3.527059212612975e+30,
|
82 |
+
"step": 220
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 0.61,
|
86 |
+
"learning_rate": 0.00022199999999999998,
|
87 |
+
"loss": 3.552828977615335e+29,
|
88 |
+
"step": 240
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 0.67,
|
92 |
+
"learning_rate": 0.00028199999999999997,
|
93 |
+
"loss": 1.9742319651445058e+28,
|
94 |
+
"step": 260
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.72,
|
98 |
+
"learning_rate": 0.00029607476635514017,
|
99 |
+
"loss": 2.2754181268717054e+31,
|
100 |
+
"step": 280
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.77,
|
104 |
+
"learning_rate": 0.00029046728971962615,
|
105 |
+
"loss": 2.8977228958522534e+30,
|
106 |
+
"step": 300
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.82,
|
110 |
+
"learning_rate": 0.00028485981308411213,
|
111 |
+
"loss": 9.199314224149786e+28,
|
112 |
+
"step": 320
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 0.87,
|
116 |
+
"learning_rate": 0.0002792523364485981,
|
117 |
+
"loss": 4.467849818908903e+28,
|
118 |
+
"step": 340
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 0.92,
|
122 |
+
"learning_rate": 0.0002736448598130841,
|
123 |
+
"loss": 7.683142355554883e+30,
|
124 |
+
"step": 360
|
125 |
+
},
|
126 |
+
{
|
127 |
+
"epoch": 0.97,
|
128 |
+
"learning_rate": 0.00026803738317757007,
|
129 |
+
"loss": 8.47695762399229e+28,
|
130 |
+
"step": 380
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 1.03,
|
134 |
+
"learning_rate": 0.00026242990654205605,
|
135 |
+
"loss": 5.750158191352777e+28,
|
136 |
+
"step": 400
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 1.03,
|
140 |
+
"eval_loss": NaN,
|
141 |
+
"eval_runtime": 104.8725,
|
142 |
+
"eval_samples_per_second": 19.071,
|
143 |
+
"eval_steps_per_second": 2.384,
|
144 |
+
"step": 400
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 1.08,
|
148 |
+
"learning_rate": 0.00025682242990654204,
|
149 |
+
"loss": 1.511076131417274e+31,
|
150 |
+
"step": 420
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 1.13,
|
154 |
+
"learning_rate": 0.000251214953271028,
|
155 |
+
"loss": 8.163499842142527e+30,
|
156 |
+
"step": 440
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 1.18,
|
160 |
+
"learning_rate": 0.000245607476635514,
|
161 |
+
"loss": 8.08162943624534e+27,
|
162 |
+
"step": 460
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 1.23,
|
166 |
+
"learning_rate": 0.00023999999999999998,
|
167 |
+
"loss": 7.625678726356304e+30,
|
168 |
+
"step": 480
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 1.28,
|
172 |
+
"learning_rate": 0.00023439252336448596,
|
173 |
+
"loss": 1.6030343069905966e+30,
|
174 |
+
"step": 500
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 1.33,
|
178 |
+
"learning_rate": 0.00022878504672897194,
|
179 |
+
"loss": 1.5262935093501894e+30,
|
180 |
+
"step": 520
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 1.38,
|
184 |
+
"learning_rate": 0.00022317757009345792,
|
185 |
+
"loss": 7.634831987306935e+28,
|
186 |
+
"step": 540
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 1.44,
|
190 |
+
"learning_rate": 0.0002175700934579439,
|
191 |
+
"loss": 3.5534372486414743e+31,
|
192 |
+
"step": 560
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 1.49,
|
196 |
+
"learning_rate": 0.00021196261682242989,
|
197 |
+
"loss": 2.4269485037904036e+29,
|
198 |
+
"step": 580
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 1.54,
|
202 |
+
"learning_rate": 0.00020635514018691587,
|
203 |
+
"loss": 5.4389742841217565e+31,
|
204 |
+
"step": 600
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 1.54,
|
208 |
+
"eval_loss": NaN,
|
209 |
+
"eval_runtime": 104.2474,
|
210 |
+
"eval_samples_per_second": 19.185,
|
211 |
+
"eval_steps_per_second": 2.398,
|
212 |
+
"step": 600
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 1.59,
|
216 |
+
"learning_rate": 0.00020074766355140185,
|
217 |
+
"loss": 1.1437688736199055e+28,
|
218 |
+
"step": 620
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 1.64,
|
222 |
+
"learning_rate": 0.00019514018691588783,
|
223 |
+
"loss": 3.8293792591118507e+27,
|
224 |
+
"step": 640
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 1.69,
|
228 |
+
"learning_rate": 0.0001895327102803738,
|
229 |
+
"loss": 6.2081077458410555e+32,
|
230 |
+
"step": 660
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 1.74,
|
234 |
+
"learning_rate": 0.0001839252336448598,
|
235 |
+
"loss": 8.158099328721144e+30,
|
236 |
+
"step": 680
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 1.79,
|
240 |
+
"learning_rate": 0.00017831775700934577,
|
241 |
+
"loss": 1.3757688257315705e+30,
|
242 |
+
"step": 700
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 1.84,
|
246 |
+
"learning_rate": 0.00017271028037383175,
|
247 |
+
"loss": 1.0185220430876456e+29,
|
248 |
+
"step": 720
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 1.9,
|
252 |
+
"learning_rate": 0.00016710280373831774,
|
253 |
+
"loss": 1.7034122942644185e+29,
|
254 |
+
"step": 740
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.95,
|
258 |
+
"learning_rate": 0.00016149532710280372,
|
259 |
+
"loss": 2.744296367142522e+28,
|
260 |
+
"step": 760
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 2.0,
|
264 |
+
"learning_rate": 0.0001558878504672897,
|
265 |
+
"loss": 2.237018774278122e+31,
|
266 |
+
"step": 780
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 2.05,
|
270 |
+
"learning_rate": 0.00015028037383177568,
|
271 |
+
"loss": 6.440347599779466e+34,
|
272 |
+
"step": 800
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 2.05,
|
276 |
+
"eval_loss": NaN,
|
277 |
+
"eval_runtime": 104.6953,
|
278 |
+
"eval_samples_per_second": 19.103,
|
279 |
+
"eval_steps_per_second": 2.388,
|
280 |
+
"step": 800
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 2.1,
|
284 |
+
"learning_rate": 0.00014467289719626166,
|
285 |
+
"loss": 1.3313253276102417e+29,
|
286 |
+
"step": 820
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 2.15,
|
290 |
+
"learning_rate": 0.00013906542056074764,
|
291 |
+
"loss": 2.3034555828372406e+30,
|
292 |
+
"step": 840
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 2.2,
|
296 |
+
"learning_rate": 0.00013345794392523362,
|
297 |
+
"loss": 9.602115764640002e+29,
|
298 |
+
"step": 860
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 2.26,
|
302 |
+
"learning_rate": 0.0001278504672897196,
|
303 |
+
"loss": 2.4410314695577537e+28,
|
304 |
+
"step": 880
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 2.31,
|
308 |
+
"learning_rate": 0.00012224299065420559,
|
309 |
+
"loss": 2.9349706030427123e+27,
|
310 |
+
"step": 900
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 2.36,
|
314 |
+
"learning_rate": 0.00011663551401869158,
|
315 |
+
"loss": 1.5112201386609064e+30,
|
316 |
+
"step": 920
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 2.41,
|
320 |
+
"learning_rate": 0.00011102803738317756,
|
321 |
+
"loss": 4.661808744039918e+27,
|
322 |
+
"step": 940
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 2.46,
|
326 |
+
"learning_rate": 0.00010542056074766354,
|
327 |
+
"loss": 4.643787755305678e+30,
|
328 |
+
"step": 960
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 2.51,
|
332 |
+
"learning_rate": 9.981308411214952e-05,
|
333 |
+
"loss": 1.62544767079367e+30,
|
334 |
+
"step": 980
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 2.56,
|
338 |
+
"learning_rate": 9.42056074766355e-05,
|
339 |
+
"loss": 1.2296670576703025e+29,
|
340 |
+
"step": 1000
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 2.56,
|
344 |
+
"eval_loss": NaN,
|
345 |
+
"eval_runtime": 104.229,
|
346 |
+
"eval_samples_per_second": 19.189,
|
347 |
+
"eval_steps_per_second": 2.399,
|
348 |
+
"step": 1000
|
349 |
+
}
|
350 |
+
],
|
351 |
+
"max_steps": 1170,
|
352 |
+
"num_train_epochs": 3,
|
353 |
+
"total_flos": 1.3015467202235597e+18,
|
354 |
+
"trial_name": null,
|
355 |
+
"trial_params": null
|
356 |
+
}
|
checkpoint-1000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ebc9cef6818fe6edb110b61f360910b8274818760f2decf01eccf526359e22ac
|
3 |
+
size 4024
|
checkpoint-200/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7faa50ead29086eb10b1b7d0f9ff7feaf68512a11c217be01e545e1666b2dc85
|
3 |
+
size 1384
|
checkpoint-200/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:752ee5cc57f02b1154ed0ab6dcad57a525d88203fc7d2ccd6b16a6857832cdb5
|
3 |
+
size 16823434
|
checkpoint-200/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2edd5b12847d89b9598122c4fa124217dbd05925ecb6df716247d6308470601a
|
3 |
+
size 14244
|
checkpoint-200/scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:996e482d7113d1552c854585970963491dff89aace5a33b5bc82a19f32014cec
|
3 |
+
size 988
|
checkpoint-200/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8c480a447ef425d8df1c69e6d189740752b65e6a069485ce6d4ff2d597075137
|
3 |
+
size 1064
|
checkpoint-200/trainer_state.json
ADDED
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": NaN,
|
3 |
+
"best_model_checkpoint": "japanese-lora-alpaca/checkpoint-200",
|
4 |
+
"epoch": 0.5119590432765379,
|
5 |
+
"global_step": 200,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.05,
|
12 |
+
"learning_rate": 0.0,
|
13 |
+
"loss": 1.9688795594149578e+30,
|
14 |
+
"step": 20
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.1,
|
18 |
+
"learning_rate": 0.0,
|
19 |
+
"loss": 1.317319656026326e+31,
|
20 |
+
"step": 40
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.15,
|
24 |
+
"learning_rate": 0.0,
|
25 |
+
"loss": 1.431492931568305e+30,
|
26 |
+
"step": 60
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.2,
|
30 |
+
"learning_rate": 0.0,
|
31 |
+
"loss": 1.2596809078781474e+29,
|
32 |
+
"step": 80
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.26,
|
36 |
+
"learning_rate": 0.0,
|
37 |
+
"loss": 7.78457860626805e+29,
|
38 |
+
"step": 100
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.31,
|
42 |
+
"learning_rate": 0.0,
|
43 |
+
"loss": 4.3205824045723626e+29,
|
44 |
+
"step": 120
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.36,
|
48 |
+
"learning_rate": 0.0,
|
49 |
+
"loss": 4.2652842037741146e+26,
|
50 |
+
"step": 140
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.41,
|
54 |
+
"learning_rate": 0.0,
|
55 |
+
"loss": 1.2042161347636073e+31,
|
56 |
+
"step": 160
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.46,
|
60 |
+
"learning_rate": 4.2e-05,
|
61 |
+
"loss": 5.4732492073607035e+32,
|
62 |
+
"step": 180
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.51,
|
66 |
+
"learning_rate": 0.000102,
|
67 |
+
"loss": 5.026698446384883e+28,
|
68 |
+
"step": 200
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.51,
|
72 |
+
"eval_loss": NaN,
|
73 |
+
"eval_runtime": 104.6208,
|
74 |
+
"eval_samples_per_second": 19.117,
|
75 |
+
"eval_steps_per_second": 2.39,
|
76 |
+
"step": 200
|
77 |
+
}
|
78 |
+
],
|
79 |
+
"max_steps": 1170,
|
80 |
+
"num_train_epochs": 3,
|
81 |
+
"total_flos": 2.59976249475072e+17,
|
82 |
+
"trial_name": null,
|
83 |
+
"trial_params": null
|
84 |
+
}
|
checkpoint-200/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ebc9cef6818fe6edb110b61f360910b8274818760f2decf01eccf526359e22ac
|
3 |
+
size 4024
|
checkpoint-800/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9841c8d18d7b9ee783a2453aa7f12d2aae77dfd9a633c9c647e8798333edb129
|
3 |
+
size 1384
|
checkpoint-800/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:752ee5cc57f02b1154ed0ab6dcad57a525d88203fc7d2ccd6b16a6857832cdb5
|
3 |
+
size 16823434
|
checkpoint-800/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d0fe0c342deafdf89afc3673e4f56c974750062020148ab09a57ff2557412acb
|
3 |
+
size 14244
|
checkpoint-800/scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:996e482d7113d1552c854585970963491dff89aace5a33b5bc82a19f32014cec
|
3 |
+
size 988
|
checkpoint-800/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5bc46105e9a3eb2dffcc16fb8321c29b20d09e16cd274fc33f717d973fe47dcc
|
3 |
+
size 1064
|
checkpoint-800/trainer_state.json
ADDED
@@ -0,0 +1,288 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": NaN,
|
3 |
+
"best_model_checkpoint": "japanese-lora-alpaca/checkpoint-200",
|
4 |
+
"epoch": 2.051195904327654,
|
5 |
+
"global_step": 800,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.05,
|
12 |
+
"learning_rate": 0.0,
|
13 |
+
"loss": 1.9688795594149578e+30,
|
14 |
+
"step": 20
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.1,
|
18 |
+
"learning_rate": 0.0,
|
19 |
+
"loss": 1.317319656026326e+31,
|
20 |
+
"step": 40
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.15,
|
24 |
+
"learning_rate": 0.0,
|
25 |
+
"loss": 1.431492931568305e+30,
|
26 |
+
"step": 60
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.2,
|
30 |
+
"learning_rate": 0.0,
|
31 |
+
"loss": 1.2596809078781474e+29,
|
32 |
+
"step": 80
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.26,
|
36 |
+
"learning_rate": 0.0,
|
37 |
+
"loss": 7.78457860626805e+29,
|
38 |
+
"step": 100
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.31,
|
42 |
+
"learning_rate": 0.0,
|
43 |
+
"loss": 4.3205824045723626e+29,
|
44 |
+
"step": 120
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.36,
|
48 |
+
"learning_rate": 0.0,
|
49 |
+
"loss": 4.2652842037741146e+26,
|
50 |
+
"step": 140
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.41,
|
54 |
+
"learning_rate": 0.0,
|
55 |
+
"loss": 1.2042161347636073e+31,
|
56 |
+
"step": 160
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.46,
|
60 |
+
"learning_rate": 4.2e-05,
|
61 |
+
"loss": 5.4732492073607035e+32,
|
62 |
+
"step": 180
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.51,
|
66 |
+
"learning_rate": 0.000102,
|
67 |
+
"loss": 5.026698446384883e+28,
|
68 |
+
"step": 200
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.51,
|
72 |
+
"eval_loss": NaN,
|
73 |
+
"eval_runtime": 104.6208,
|
74 |
+
"eval_samples_per_second": 19.117,
|
75 |
+
"eval_steps_per_second": 2.39,
|
76 |
+
"step": 200
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 0.56,
|
80 |
+
"learning_rate": 0.000162,
|
81 |
+
"loss": 3.527059212612975e+30,
|
82 |
+
"step": 220
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 0.61,
|
86 |
+
"learning_rate": 0.00022199999999999998,
|
87 |
+
"loss": 3.552828977615335e+29,
|
88 |
+
"step": 240
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 0.67,
|
92 |
+
"learning_rate": 0.00028199999999999997,
|
93 |
+
"loss": 1.9742319651445058e+28,
|
94 |
+
"step": 260
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.72,
|
98 |
+
"learning_rate": 0.00029607476635514017,
|
99 |
+
"loss": 2.2754181268717054e+31,
|
100 |
+
"step": 280
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.77,
|
104 |
+
"learning_rate": 0.00029046728971962615,
|
105 |
+
"loss": 2.8977228958522534e+30,
|
106 |
+
"step": 300
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.82,
|
110 |
+
"learning_rate": 0.00028485981308411213,
|
111 |
+
"loss": 9.199314224149786e+28,
|
112 |
+
"step": 320
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 0.87,
|
116 |
+
"learning_rate": 0.0002792523364485981,
|
117 |
+
"loss": 4.467849818908903e+28,
|
118 |
+
"step": 340
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 0.92,
|
122 |
+
"learning_rate": 0.0002736448598130841,
|
123 |
+
"loss": 7.683142355554883e+30,
|
124 |
+
"step": 360
|
125 |
+
},
|
126 |
+
{
|
127 |
+
"epoch": 0.97,
|
128 |
+
"learning_rate": 0.00026803738317757007,
|
129 |
+
"loss": 8.47695762399229e+28,
|
130 |
+
"step": 380
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 1.03,
|
134 |
+
"learning_rate": 0.00026242990654205605,
|
135 |
+
"loss": 5.750158191352777e+28,
|
136 |
+
"step": 400
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 1.03,
|
140 |
+
"eval_loss": NaN,
|
141 |
+
"eval_runtime": 104.8725,
|
142 |
+
"eval_samples_per_second": 19.071,
|
143 |
+
"eval_steps_per_second": 2.384,
|
144 |
+
"step": 400
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 1.08,
|
148 |
+
"learning_rate": 0.00025682242990654204,
|
149 |
+
"loss": 1.511076131417274e+31,
|
150 |
+
"step": 420
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 1.13,
|
154 |
+
"learning_rate": 0.000251214953271028,
|
155 |
+
"loss": 8.163499842142527e+30,
|
156 |
+
"step": 440
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 1.18,
|
160 |
+
"learning_rate": 0.000245607476635514,
|
161 |
+
"loss": 8.08162943624534e+27,
|
162 |
+
"step": 460
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 1.23,
|
166 |
+
"learning_rate": 0.00023999999999999998,
|
167 |
+
"loss": 7.625678726356304e+30,
|
168 |
+
"step": 480
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 1.28,
|
172 |
+
"learning_rate": 0.00023439252336448596,
|
173 |
+
"loss": 1.6030343069905966e+30,
|
174 |
+
"step": 500
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 1.33,
|
178 |
+
"learning_rate": 0.00022878504672897194,
|
179 |
+
"loss": 1.5262935093501894e+30,
|
180 |
+
"step": 520
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 1.38,
|
184 |
+
"learning_rate": 0.00022317757009345792,
|
185 |
+
"loss": 7.634831987306935e+28,
|
186 |
+
"step": 540
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 1.44,
|
190 |
+
"learning_rate": 0.0002175700934579439,
|
191 |
+
"loss": 3.5534372486414743e+31,
|
192 |
+
"step": 560
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 1.49,
|
196 |
+
"learning_rate": 0.00021196261682242989,
|
197 |
+
"loss": 2.4269485037904036e+29,
|
198 |
+
"step": 580
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 1.54,
|
202 |
+
"learning_rate": 0.00020635514018691587,
|
203 |
+
"loss": 5.4389742841217565e+31,
|
204 |
+
"step": 600
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 1.54,
|
208 |
+
"eval_loss": NaN,
|
209 |
+
"eval_runtime": 104.2474,
|
210 |
+
"eval_samples_per_second": 19.185,
|
211 |
+
"eval_steps_per_second": 2.398,
|
212 |
+
"step": 600
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 1.59,
|
216 |
+
"learning_rate": 0.00020074766355140185,
|
217 |
+
"loss": 1.1437688736199055e+28,
|
218 |
+
"step": 620
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 1.64,
|
222 |
+
"learning_rate": 0.00019514018691588783,
|
223 |
+
"loss": 3.8293792591118507e+27,
|
224 |
+
"step": 640
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 1.69,
|
228 |
+
"learning_rate": 0.0001895327102803738,
|
229 |
+
"loss": 6.2081077458410555e+32,
|
230 |
+
"step": 660
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 1.74,
|
234 |
+
"learning_rate": 0.0001839252336448598,
|
235 |
+
"loss": 8.158099328721144e+30,
|
236 |
+
"step": 680
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 1.79,
|
240 |
+
"learning_rate": 0.00017831775700934577,
|
241 |
+
"loss": 1.3757688257315705e+30,
|
242 |
+
"step": 700
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 1.84,
|
246 |
+
"learning_rate": 0.00017271028037383175,
|
247 |
+
"loss": 1.0185220430876456e+29,
|
248 |
+
"step": 720
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 1.9,
|
252 |
+
"learning_rate": 0.00016710280373831774,
|
253 |
+
"loss": 1.7034122942644185e+29,
|
254 |
+
"step": 740
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.95,
|
258 |
+
"learning_rate": 0.00016149532710280372,
|
259 |
+
"loss": 2.744296367142522e+28,
|
260 |
+
"step": 760
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 2.0,
|
264 |
+
"learning_rate": 0.0001558878504672897,
|
265 |
+
"loss": 2.237018774278122e+31,
|
266 |
+
"step": 780
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 2.05,
|
270 |
+
"learning_rate": 0.00015028037383177568,
|
271 |
+
"loss": 6.440347599779466e+34,
|
272 |
+
"step": 800
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 2.05,
|
276 |
+
"eval_loss": NaN,
|
277 |
+
"eval_runtime": 104.6953,
|
278 |
+
"eval_samples_per_second": 19.103,
|
279 |
+
"eval_steps_per_second": 2.388,
|
280 |
+
"step": 800
|
281 |
+
}
|
282 |
+
],
|
283 |
+
"max_steps": 1170,
|
284 |
+
"num_train_epochs": 3,
|
285 |
+
"total_flos": 1.0415704707484877e+18,
|
286 |
+
"trial_name": null,
|
287 |
+
"trial_params": null
|
288 |
+
}
|
checkpoint-800/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ebc9cef6818fe6edb110b61f360910b8274818760f2decf01eccf526359e22ac
|
3 |
+
size 4024
|
runs/Nov18_15-12-17_8d5c564f7749/1700320359.117123/events.out.tfevents.1700320359.8d5c564f7749.1407.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:738072243cbde4123f05f9f1aa9adabce9de088b461b8ce204bc2560d5181801
|
3 |
+
size 5839
|
runs/Nov18_15-12-17_8d5c564f7749/events.out.tfevents.1700320359.8d5c564f7749.1407.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:031ed86d88c7dc506ff39c3e0a49e0786eb9e6705537f481206c81bd77d65d76
|
3 |
+
size 14687
|