---
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: []
---

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# 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