| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: bioformers/bioformer-16L |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: TAPT_data-V2_Bioformer-16L_LR-0.0001 |
| 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. --> |
|
|
| # TAPT_data-V2_Bioformer-16L_LR-0.0001 |
| |
| This model is a fine-tuned version of [bioformers/bioformer-16L](https://huggingface.co/bioformers/bioformer-16L) on the Mardiyyah/TAPT_data_V2_split dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.3000 |
|
|
| ## 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: 0.0001 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 3407 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.06 |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.1948 | 1.0 | 609 | 2.2790 | |
| | 1.9627 | 2.0 | 1218 | 2.3013 | |
| | 1.7865 | 3.0 | 1827 | 2.3833 | |
| | 1.6375 | 4.0 | 2436 | 2.3146 | |
| | 1.5212 | 5.0 | 3045 | 2.3126 | |
| | 1.4298 | 6.0 | 3654 | 2.3001 | |
| | 1.361 | 7.0 | 4263 | 2.3267 | |
| | 1.2688 | 8.0 | 4872 | 2.3044 | |
| | 1.2074 | 9.0 | 5481 | 2.2634 | |
| | 1.1643 | 10.0 | 6090 | 2.2897 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.48.2 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.2 |
| - Tokenizers 0.21.0 |
| |
