modernbert-financial-sentiment
This model is a fine-tuned version of answerdotai/ModernBERT-base on the twitter_financial dataset. It achieves the following results on the evaluation set:
- Loss: 0.4501
- Accuracy: 0.8558
- F1: 0.8598
- Precision: 0.8705
- Recall: 0.8558
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_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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.4274 | 1.0 | 1193 | 0.3893 | 0.8752 | 0.8787 | 0.8887 | 0.8752 |
| 0.2062 | 2.0 | 2386 | 0.4430 | 0.8928 | 0.8921 | 0.8918 | 0.8928 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for maguid28/modernbert-twitter-financial-sentiment
Base model
answerdotai/ModernBERT-base