distilroberta-rbm231k-ep20-2
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1659
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: 7.3e-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
- lr_scheduler_warmup_ratio: 0.19
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6485 | 1.0 | 14644 | 1.5036 |
| 1.5674 | 2.0 | 29288 | 1.4329 |
| 1.5284 | 3.0 | 43932 | 1.4043 |
| 1.503 | 4.0 | 58576 | 1.3876 |
| 1.4735 | 5.0 | 73220 | 1.3594 |
| 1.4399 | 6.0 | 87864 | 1.3312 |
| 1.4061 | 7.0 | 102508 | 1.3074 |
| 1.3895 | 8.0 | 117152 | 1.2900 |
| 1.3691 | 9.0 | 131796 | 1.2749 |
| 1.3591 | 10.0 | 146440 | 1.2625 |
| 1.3267 | 11.0 | 161084 | 1.2501 |
| 1.314 | 12.0 | 175728 | 1.2353 |
| 1.2995 | 13.0 | 190372 | 1.2242 |
| 1.2888 | 14.0 | 205016 | 1.2136 |
| 1.2773 | 15.0 | 219660 | 1.2027 |
| 1.2557 | 16.0 | 234304 | 1.1920 |
| 1.2443 | 17.0 | 248948 | 1.1831 |
| 1.2449 | 18.0 | 263592 | 1.1776 |
| 1.2294 | 19.0 | 278236 | 1.1725 |
| 1.2231 | 20.0 | 292880 | 1.1666 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
distilbert/distilroberta-base