roberta-base-nsp-2000-5e-05-8
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5875
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: 5e-05
- train_batch_size: 32
- 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 |
---|---|---|---|
No log | 1.0 | 63 | 0.4232 |
No log | 2.0 | 126 | 0.3674 |
No log | 3.0 | 189 | 0.3140 |
0.3731 | 4.0 | 252 | 0.6052 |
0.3731 | 5.0 | 315 | 0.5697 |
0.3731 | 6.0 | 378 | 0.7623 |
0.0895 | 7.0 | 441 | 0.6686 |
0.0895 | 8.0 | 504 | 0.5875 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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