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distilbert_mask_1
This model is a fine-tuned version of sshleifer/tiny-distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 10.7706
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 331 | 10.7942 |
| 10.8016 | 2.0 | 662 | 10.7765 |
| 10.8016 | 3.0 | 993 | 10.7706 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
