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my_finetuned_GPT
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4836
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: 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 | 17 | 2.8296 |
| No log | 2.0 | 34 | 2.6582 |
| No log | 3.0 | 51 | 2.5844 |
| No log | 4.0 | 68 | 2.5321 |
| No log | 5.0 | 85 | 2.5066 |
| No log | 6.0 | 102 | 2.4886 |
| No log | 7.0 | 119 | 2.4846 |
| No log | 8.0 | 136 | 2.4754 |
| No log | 9.0 | 153 | 2.4724 |
| No log | 10.0 | 170 | 2.4703 |
| No log | 11.0 | 187 | 2.4751 |
| No log | 12.0 | 204 | 2.4703 |
| No log | 13.0 | 221 | 2.4746 |
| No log | 14.0 | 238 | 2.4774 |
| No log | 15.0 | 255 | 2.4779 |
| No log | 16.0 | 272 | 2.4810 |
| No log | 17.0 | 289 | 2.4828 |
| No log | 18.0 | 306 | 2.4833 |
| No log | 19.0 | 323 | 2.4835 |
| No log | 20.0 | 340 | 2.4836 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
