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: 1.8828
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 301 | 1.9451 |
| 2.1463 | 2.0 | 602 | 1.9068 |
| 2.1463 | 3.0 | 903 | 1.9079 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for hangzou/distilroberta-base-finetuned-wikitext2
Base model
distilbert/distilroberta-base