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distilgpt2-lotr
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3901
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 73 | 3.6392 |
| No log | 2.0 | 146 | 3.5466 |
| No log | 3.0 | 219 | 3.5038 |
| No log | 4.0 | 292 | 3.4761 |
| No log | 5.0 | 365 | 3.4546 |
| No log | 6.0 | 438 | 3.4379 |
| 3.6024 | 7.0 | 511 | 3.4265 |
| 3.6024 | 8.0 | 584 | 3.4160 |
| 3.6024 | 9.0 | 657 | 3.4096 |
| 3.6024 | 10.0 | 730 | 3.4025 |
| 3.6024 | 11.0 | 803 | 3.3969 |
| 3.6024 | 12.0 | 876 | 3.3933 |
| 3.6024 | 13.0 | 949 | 3.3916 |
| 3.4101 | 14.0 | 1022 | 3.3910 |
| 3.4101 | 15.0 | 1095 | 3.3901 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
