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RoBERTa-Spirit
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4648
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8473 | 1.0 | 1834 | 0.6141 |
| 0.5962 | 2.0 | 3668 | 0.5348 |
| 0.5355 | 3.0 | 5502 | 0.5057 |
| 0.5023 | 4.0 | 7336 | 0.4865 |
| 0.4844 | 5.0 | 9170 | 0.4627 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
