roberta-base_ag_news
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4268
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.481 | 1.0 | 375 | 0.4272 |
| 0.3034 | 2.0 | 750 | 0.4268 |
| 0.4899 | 3.0 | 1125 | 0.5007 |
| 0.108 | 4.0 | 1500 | 0.4815 |
| 0.049 | 5.0 | 1875 | 0.5138 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1
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Model tree for nsugianto/roberta-base_ag_news
Base model
FacebookAI/roberta-base