distilgpt2_finetuneWithEli5
This model is a fine-tuned version of distilgpt2 on the ELI5s dataset. It achieves the following results on the evaluation set:
- Loss: 3.5646
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.588 | 1.0 | 47205 | 3.6163 |
| 3.5156 | 2.0 | 94410 | 3.5849 |
| 3.4875 | 3.0 | 141615 | 3.5699 |
| 3.4634 | 4.0 | 188820 | 3.5646 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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