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gpt2-ear_1_migrants-hs_cn
This model is a fine-tuned version of gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5331
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 |
|---|---|---|---|
| 69.995 | 0.03 | 10 | 64.5661 |
| 28.3476 | 0.06 | 20 | 18.0685 |
| 5.2324 | 0.08 | 30 | 6.3912 |
| 0.7104 | 0.11 | 40 | 2.7627 |
| -0.8669 | 0.14 | 50 | 1.2027 |
| -1.7912 | 0.17 | 60 | 0.8591 |
| -1.7957 | 0.2 | 70 | 0.7706 |
| -2.1587 | 0.23 | 80 | 0.7197 |
| -2.1961 | 0.25 | 90 | 0.6167 |
| -2.1901 | 0.28 | 100 | 0.6059 |
| -2.0514 | 0.31 | 110 | 0.5845 |
| -2.0839 | 0.34 | 120 | 0.5717 |
| -2.1579 | 0.37 | 130 | 0.5667 |
| -2.0266 | 0.4 | 140 | 0.5601 |
| -2.2698 | 0.42 | 150 | 0.5582 |
| -2.1635 | 0.45 | 160 | 0.5694 |
| -2.1359 | 0.48 | 170 | 0.5584 |
| -2.1628 | 0.51 | 180 | 0.5510 |
| -2.0485 | 0.54 | 190 | 0.5520 |
| -2.1333 | 0.57 | 200 | 0.5431 |
| -2.2908 | 0.59 | 210 | 0.5438 |
| -2.1131 | 0.62 | 220 | 0.5545 |
| -2.1988 | 0.65 | 230 | 0.5371 |
| -2.187 | 0.68 | 240 | 0.5349 |
| -2.0381 | 0.71 | 250 | 0.5504 |
| -2.1413 | 0.74 | 260 | 0.5293 |
| -2.0951 | 0.76 | 270 | 0.5257 |
| -2.2314 | 0.79 | 280 | 0.5263 |
| -2.1851 | 0.82 | 290 | 0.5291 |
| -2.2318 | 0.85 | 300 | 0.5331 |
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 1.12.0a0+bd13bc6
- Datasets 2.12.0
- Tokenizers 0.13.3
