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distilgpt2-finetuned-distilgpt2-med_articles
This model is a fine-tuned version of vishnun/distilgpt2-finetuned-distilgpt2-med_articles on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3171
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 65 | 3.3417 |
| No log | 2.0 | 130 | 3.3300 |
| No log | 3.0 | 195 | 3.3231 |
| No log | 4.0 | 260 | 3.3172 |
| No log | 5.0 | 325 | 3.3171 |
Framework versions
- Transformers 4.9.2
- Pytorch 1.9.0+cu102
- Datasets 1.11.0
- Tokenizers 0.10.3
