metadata
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: []
TAPT_data-V2_Bioformer-16L_LR-0.0001
This model is a fine-tuned version of 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