roberta-large-nsp-50000-1e-06-16
This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1945
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: 1e-06
- train_batch_size: 64
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5347 | 1.0 | 782 | 0.3143 |
0.2276 | 2.0 | 1564 | 0.2230 |
0.1688 | 3.0 | 2346 | 0.1862 |
0.1467 | 4.0 | 3128 | 0.1730 |
0.1229 | 5.0 | 3910 | 0.1572 |
0.1105 | 6.0 | 4692 | 0.1576 |
0.096 | 7.0 | 5474 | 0.1717 |
0.0828 | 8.0 | 6256 | 0.1673 |
0.0678 | 9.0 | 7038 | 0.1831 |
0.0636 | 10.0 | 7820 | 0.1945 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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