| | --- |
| | library_name: transformers |
| | base_model: blepine/modernFinBERTLarge2 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: modernFinBERTo2-Large_2.0 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # modernFinBERTo2-Large_2.0 |
| | |
| | This model is a fine-tuned version of [blepine/modernFinBERTLarge2](https://huggingface.co/blepine/modernFinBERTLarge2) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.4427 |
| | - Accuracy: 0.2905 |
| | - F1: 0.2775 |
| | |
| | ## 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: 9e-06 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - 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 |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 3 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | | 2.9283 | 1.0 | 744 | 2.7684 | 0.2829 | 0.2425 | |
| | | 2.1264 | 2.0 | 1488 | 2.4368 | 0.3041 | 0.2825 | |
| | | 1.5815 | 3.0 | 2232 | 2.4427 | 0.2905 | 0.2775 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.48.0.dev0 |
| | - Pytorch 2.5.0+cu124 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.21.0 |
| | |
