distilroberta-base-finetuned-MLM-drms
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5875
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: 3e-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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6652 | 1.0 | 2258 | 3.6673 |
| 3.6576 | 2.0 | 4516 | 3.6396 |
| 3.6542 | 3.0 | 6774 | 3.6283 |
| 3.6392 | 4.0 | 9032 | 3.6205 |
| 3.6341 | 5.0 | 11290 | 3.6167 |
| 3.6212 | 6.0 | 13548 | 3.6071 |
| 3.625 | 7.0 | 15806 | 3.6034 |
| 3.6214 | 8.0 | 18064 | 3.5987 |
| 3.6057 | 9.0 | 20322 | 3.5938 |
| 3.6276 | 10.0 | 22580 | 3.5897 |
| 3.6078 | 11.0 | 24838 | 3.5888 |
| 3.6032 | 12.0 | 27096 | 3.5895 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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