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gptfinetune2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1463
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: 8e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 482 | 3.1945 |
| 3.4235 | 2.0 | 964 | 3.1655 |
| 3.2473 | 3.0 | 1446 | 3.1560 |
| 3.1981 | 4.0 | 1928 | 3.1508 |
| 3.1767 | 5.0 | 2410 | 3.1477 |
| 3.1502 | 6.0 | 2892 | 3.1467 |
| 3.1387 | 7.0 | 3374 | 3.1464 |
| 3.1275 | 8.0 | 3856 | 3.1463 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2
