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distilgpt_oscarth_0020
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.2188
- Validation Loss: 3.0982
- Epoch: 19
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 5.6021 | 4.5759 | 0 |
| 4.4536 | 4.1235 | 1 |
| 4.1386 | 3.9013 | 2 |
| 3.9546 | 3.7563 | 3 |
| 3.8255 | 3.6477 | 4 |
| 3.7271 | 3.5617 | 5 |
| 3.6488 | 3.4936 | 6 |
| 3.5844 | 3.4379 | 7 |
| 3.5301 | 3.3891 | 8 |
| 3.4833 | 3.3448 | 9 |
| 3.4427 | 3.3098 | 10 |
| 3.4068 | 3.2750 | 11 |
| 3.3749 | 3.2425 | 12 |
| 3.3462 | 3.2211 | 13 |
| 3.3202 | 3.1941 | 14 |
| 3.2964 | 3.1720 | 15 |
| 3.2749 | 3.1512 | 16 |
| 3.2548 | 3.1322 | 17 |
| 3.2363 | 3.1141 | 18 |
| 3.2188 | 3.0982 | 19 |
Framework versions
- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1
