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gpt2-finetuned-brookstraining
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.3233
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 201 | 3.7473 |
| No log | 2.0 | 402 | 3.7192 |
| 3.9557 | 3.0 | 603 | 3.7303 |
| 3.9557 | 4.0 | 804 | 3.7354 |
| 3.4723 | 5.0 | 1005 | 3.7725 |
| 3.4723 | 6.0 | 1206 | 3.7934 |
| 3.4723 | 7.0 | 1407 | 3.8325 |
| 3.1092 | 8.0 | 1608 | 3.8907 |
| 3.1092 | 9.0 | 1809 | 3.9566 |
| 2.8224 | 10.0 | 2010 | 3.9908 |
| 2.8224 | 11.0 | 2211 | 4.0487 |
| 2.8224 | 12.0 | 2412 | 4.0744 |
| 2.5733 | 13.0 | 2613 | 4.1212 |
| 2.5733 | 14.0 | 2814 | 4.1872 |
| 2.3879 | 15.0 | 3015 | 4.2208 |
| 2.3879 | 16.0 | 3216 | 4.2358 |
| 2.3879 | 17.0 | 3417 | 4.2799 |
| 2.2721 | 18.0 | 3618 | 4.3077 |
| 2.2721 | 19.0 | 3819 | 4.3217 |
| 2.2043 | 20.0 | 4020 | 4.3233 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1
- Datasets 2.11.0
- Tokenizers 0.11.0
