ds-summer-school-GoT
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2809
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: 1999
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5976 | 1.0 | 1787 | 3.4862 |
| 3.4392 | 2.0 | 3574 | 3.4058 |
| 3.3729 | 3.0 | 5361 | 3.3597 |
| 3.3043 | 4.0 | 7148 | 3.3313 |
| 3.2582 | 5.0 | 8935 | 3.3101 |
| 3.2185 | 6.0 | 10722 | 3.2993 |
| 3.199 | 7.0 | 12509 | 3.2897 |
| 3.17 | 8.0 | 14296 | 3.2856 |
| 3.1727 | 9.0 | 16083 | 3.2814 |
| 3.1599 | 10.0 | 17870 | 3.2809 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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