ft-distilGPT2-with-ELI5
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9586
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: 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 |
|---|---|---|---|
| No log | 1.0 | 16 | 3.9655 |
| No log | 2.0 | 32 | 3.9544 |
| No log | 3.0 | 48 | 3.9496 |
| No log | 4.0 | 64 | 3.9508 |
| No log | 5.0 | 80 | 3.9515 |
| No log | 6.0 | 96 | 3.9527 |
| No log | 7.0 | 112 | 3.9549 |
| No log | 8.0 | 128 | 3.9564 |
| No log | 9.0 | 144 | 3.9582 |
| No log | 10.0 | 160 | 3.9586 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.14.1