test_trainer
This model is a fine-tuned version of mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6294
- Accuracy: 0.8577
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
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 338 | 0.4186 | 0.8517 |
| 0.5435 | 2.0 | 676 | 0.4806 | 0.8737 |
| 0.2387 | 3.0 | 1014 | 0.6294 | 0.8577 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
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