eliwill/stoic-generator-10e
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.4753
- Validation Loss: 3.7980
- Epoch: 9
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 |
|---|---|---|
| 4.0230 | 3.9474 | 0 |
| 3.8580 | 3.8982 | 1 |
| 3.7757 | 3.8721 | 2 |
| 3.7149 | 3.8489 | 3 |
| 3.6640 | 3.8343 | 4 |
| 3.6210 | 3.8152 | 5 |
| 3.5796 | 3.8088 | 6 |
| 3.5429 | 3.8038 | 7 |
| 3.5061 | 3.7967 | 8 |
| 3.4753 | 3.7980 | 9 |
Framework versions
- Transformers 4.22.1
- TensorFlow 2.8.2
- Datasets 2.5.1
- Tokenizers 0.12.1
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