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roberta-base_financial_phrasebank
This model is a fine-tuned version of roberta-base on the financial_phrasebank dataset. It achieves the following results on the evaluation set:
- Loss: 0.2154
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1676 | 1.0 | 227 | 0.3128 |
| 0.1058 | 2.0 | 454 | 0.2652 |
| 0.0911 | 3.0 | 681 | 0.2145 |
| 0.0009 | 4.0 | 908 | 0.2190 |
| 0.0007 | 5.0 | 1135 | 0.2154 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
