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distilgpt2-finetuned-yannic-test-1
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5082
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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 482 | 3.5938 |
| 3.6669 | 2.0 | 964 | 3.5534 |
| 3.5089 | 3.0 | 1446 | 3.5315 |
| 3.4295 | 4.0 | 1928 | 3.5197 |
| 3.3772 | 5.0 | 2410 | 3.5143 |
| 3.3383 | 6.0 | 2892 | 3.5110 |
| 3.3092 | 7.0 | 3374 | 3.5084 |
| 3.2857 | 8.0 | 3856 | 3.5082 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2
