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distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9194
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 39 | 2.1213 |
| No log | 2.0 | 78 | 1.9117 |
| No log | 3.0 | 117 | 1.9746 |
| No log | 4.0 | 156 | 1.9057 |
| No log | 5.0 | 195 | 1.7525 |
| No log | 6.0 | 234 | 1.7729 |
| No log | 7.0 | 273 | 2.0119 |
| No log | 8.0 | 312 | 1.7356 |
| No log | 9.0 | 351 | 2.0164 |
| No log | 10.0 | 390 | 1.8370 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
