distilgpt2-finetuned-katpoems-lm-15-epoch
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.8145
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 59 | 4.6495 |
| No log | 2.0 | 118 | 4.6555 |
| No log | 3.0 | 177 | 4.6696 |
| No log | 4.0 | 236 | 4.6930 |
| No log | 5.0 | 295 | 4.7132 |
| No log | 6.0 | 354 | 4.7185 |
| No log | 7.0 | 413 | 4.7444 |
| No log | 8.0 | 472 | 4.7611 |
| 4.2244 | 9.0 | 531 | 4.7794 |
| 4.2244 | 10.0 | 590 | 4.7841 |
| 4.2244 | 11.0 | 649 | 4.7929 |
| 4.2244 | 12.0 | 708 | 4.8048 |
| 4.2244 | 13.0 | 767 | 4.8058 |
| 4.2244 | 14.0 | 826 | 4.8124 |
| 4.2244 | 15.0 | 885 | 4.8145 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
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