Task3
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0246
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|---|---|---|---|
| 3.1753 | 1.0 | 1741 | 3.0775 |
| 3.0194 | 2.0 | 3482 | 3.0338 |
| 2.9194 | 3.0 | 5223 | 3.0157 |
| 2.8401 | 4.0 | 6964 | 3.0063 |
| 2.7765 | 5.0 | 8705 | 3.0064 |
| 2.7266 | 6.0 | 10446 | 3.0093 |
| 2.6817 | 7.0 | 12187 | 3.0105 |
| 2.6458 | 8.0 | 13928 | 3.0156 |
| 2.6195 | 9.0 | 15669 | 3.0205 |
| 2.5997 | 10.0 | 17410 | 3.0246 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
distilbert/distilgpt2