update model card README.md
Browse files
README.md
ADDED
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: mit
|
3 |
+
tags:
|
4 |
+
- generated_from_trainer
|
5 |
+
model-index:
|
6 |
+
- name: gpt2-kl_001_06_hscnspecial-hs_cn
|
7 |
+
results: []
|
8 |
+
---
|
9 |
+
|
10 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
11 |
+
should probably proofread and complete it, then remove this comment. -->
|
12 |
+
|
13 |
+
# gpt2-kl_001_06_hscnspecial-hs_cn
|
14 |
+
|
15 |
+
This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
|
16 |
+
It achieves the following results on the evaluation set:
|
17 |
+
- Loss: 0.5489
|
18 |
+
|
19 |
+
## Model description
|
20 |
+
|
21 |
+
More information needed
|
22 |
+
|
23 |
+
## Intended uses & limitations
|
24 |
+
|
25 |
+
More information needed
|
26 |
+
|
27 |
+
## Training and evaluation data
|
28 |
+
|
29 |
+
More information needed
|
30 |
+
|
31 |
+
## Training procedure
|
32 |
+
|
33 |
+
### Training hyperparameters
|
34 |
+
|
35 |
+
The following hyperparameters were used during training:
|
36 |
+
- learning_rate: 5e-05
|
37 |
+
- train_batch_size: 8
|
38 |
+
- eval_batch_size: 4
|
39 |
+
- seed: 21
|
40 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
41 |
+
- lr_scheduler_type: linear
|
42 |
+
- lr_scheduler_warmup_ratio: 0.1
|
43 |
+
- num_epochs: 3.0
|
44 |
+
|
45 |
+
### Training results
|
46 |
+
|
47 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
48 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
49 |
+
| 73.5243 | 0.02 | 10 | 69.5733 |
|
50 |
+
| 46.0785 | 0.04 | 20 | 32.9424 |
|
51 |
+
| 13.5445 | 0.06 | 30 | 10.6459 |
|
52 |
+
| 6.772 | 0.08 | 40 | 4.2120 |
|
53 |
+
| 3.5618 | 0.1 | 50 | 2.0539 |
|
54 |
+
| 1.4416 | 0.12 | 60 | 1.0919 |
|
55 |
+
| 1.0628 | 0.14 | 70 | 0.8710 |
|
56 |
+
| 0.8751 | 0.16 | 80 | 0.7180 |
|
57 |
+
| 0.7178 | 0.18 | 90 | 0.7504 |
|
58 |
+
| 0.7072 | 0.2 | 100 | 0.6374 |
|
59 |
+
| 0.5923 | 0.22 | 110 | 0.6286 |
|
60 |
+
| 0.6271 | 0.24 | 120 | 0.6355 |
|
61 |
+
| 0.6407 | 0.26 | 130 | 0.6217 |
|
62 |
+
| 0.6474 | 0.28 | 140 | 0.5978 |
|
63 |
+
| 0.5946 | 0.3 | 150 | 0.5985 |
|
64 |
+
| 0.6073 | 0.32 | 160 | 0.5887 |
|
65 |
+
| 0.5149 | 0.34 | 170 | 0.5773 |
|
66 |
+
| 0.6478 | 0.36 | 180 | 0.5671 |
|
67 |
+
| 0.6186 | 0.38 | 190 | 0.5593 |
|
68 |
+
| 0.5708 | 0.4 | 200 | 0.5572 |
|
69 |
+
| 0.6788 | 0.42 | 210 | 0.5545 |
|
70 |
+
| 0.6316 | 0.44 | 220 | 0.5503 |
|
71 |
+
| 0.5317 | 0.46 | 230 | 0.5508 |
|
72 |
+
| 0.5464 | 0.48 | 240 | 0.5475 |
|
73 |
+
| 0.548 | 0.5 | 250 | 0.5466 |
|
74 |
+
| 0.5488 | 0.52 | 260 | 0.5473 |
|
75 |
+
| 0.5551 | 0.54 | 270 | 0.5469 |
|
76 |
+
| 0.5867 | 0.56 | 280 | 0.5489 |
|
77 |
+
|
78 |
+
|
79 |
+
### Framework versions
|
80 |
+
|
81 |
+
- Transformers 4.29.0.dev0
|
82 |
+
- Pytorch 1.12.0a0+bd13bc6
|
83 |
+
- Datasets 2.12.0
|
84 |
+
- Tokenizers 0.13.3
|