finbert
This model is a fine-tuned version of ProsusAI/finbert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3267
- Accuracy: 0.8072
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4356 | 1.0 | 818 | 0.3310 | 0.7732 |
| 0.3005 | 2.0 | 1636 | 0.3200 | 0.7772 |
| 0.2621 | 3.0 | 2454 | 0.3125 | 0.8002 |
| 0.2015 | 4.0 | 3272 | 0.3267 | 0.8072 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for leandroaraujodev/finbert
Base model
ProsusAI/finbert