| | --- |
| | library_name: transformers |
| | base_model: blepine/modernFinBERTLarge |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: modernFinBERTLarge2 |
| | 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. --> |
| |
|
| | # modernFinBERTLarge2 |
| |
|
| | This model is a fine-tuned version of [blepine/modernFinBERTLarge](https://huggingface.co/blepine/modernFinBERTLarge) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.5898 |
| |
|
| | ## 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-07 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - 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: 4 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 2.7102 | 1.0 | 5364 | 2.6690 | |
| | | 2.7277 | 2.0 | 10728 | 2.6420 | |
| | | 2.6433 | 3.0 | 16092 | 2.5801 | |
| | | 2.6457 | 4.0 | 21456 | 2.5898 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.48.0.dev0 |
| | - Pytorch 2.5.0+cu124 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.21.0 |
| | |
