modernfinbert-usdmyr
This model is a fine-tuned version of tabularisai/ModernFinBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9306
- Accuracy: 0.6745
- Macro F1: 0.5724
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
|---|---|---|---|---|---|
| 0.6993 | 1.0 | 139 | 0.8020 | 0.6790 | 0.5483 |
| 0.3628 | 2.0 | 278 | 0.9306 | 0.6745 | 0.5724 |
Framework versions
- Transformers 5.10.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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