metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-kl_1_06-hs_cn_decay
results: []
gpt2-kl_1_06-hs_cn_decay
This model is a fine-tuned version of gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5526
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 21
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 74.1745 | 0.02 | 10 | 69.5746 |
| 46.6776 | 0.04 | 20 | 32.9878 |
| 14.1513 | 0.06 | 30 | 10.6492 |
| 6.163 | 0.08 | 40 | 4.4128 |
| 3.2475 | 0.1 | 50 | 1.9870 |
| 1.8729 | 0.12 | 60 | 1.1410 |
| 1.6096 | 0.14 | 70 | 0.8221 |
| 1.354 | 0.16 | 80 | 0.7575 |
| 1.3447 | 0.18 | 90 | 0.6948 |
| 1.2679 | 0.2 | 100 | 0.6150 |
| 1.1468 | 0.22 | 110 | 0.5965 |
| 1.1623 | 0.24 | 120 | 0.5873 |
| 1.1934 | 0.26 | 130 | 0.5940 |
| 1.2443 | 0.28 | 140 | 0.6013 |
| 1.2871 | 0.3 | 150 | 0.5707 |
| 1.162 | 0.32 | 160 | 0.5647 |
| 1.0518 | 0.34 | 170 | 0.5655 |
| 1.2081 | 0.36 | 180 | 0.5626 |
| 1.2465 | 0.38 | 190 | 0.5582 |
| 1.0764 | 0.4 | 200 | 0.5575 |
| 1.2877 | 0.42 | 210 | 0.5528 |
| 1.2087 | 0.44 | 220 | 0.5506 |
| 1.0139 | 0.46 | 230 | 0.5549 |
| 1.0924 | 0.48 | 240 | 0.5516 |
| 1.0167 | 0.5 | 250 | 0.5526 |
Framework versions
- Transformers 4.28.0
- Pytorch 1.11.0+cu113
- Datasets 2.11.0
- Tokenizers 0.12.1