---
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-0.0005
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# TAPT_data-V2_Bioformer-16L_LR-0.0005

This model is a fine-tuned version of [bioformers/bioformer-16L](https://huggingface.co/bioformers/bioformer-16L) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4749

## 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: 0.0005
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9555        | 1.0   | 609  | 3.8842          |
| 3.4591        | 2.0   | 1218 | 4.1767          |
| 3.3266        | 3.0   | 1827 | 4.2016          |
| 3.0264        | 4.0   | 2436 | 4.0258          |
| 2.7402        | 5.0   | 3045 | 3.8214          |
| 2.4781        | 6.0   | 3654 | 3.8107          |
| 2.2409        | 7.0   | 4263 | 3.6859          |
| 1.9816        | 8.0   | 4872 | 3.6026          |
| 1.7825        | 9.0   | 5481 | 3.4999          |
| 1.6141        | 10.0  | 6090 | 3.4749          |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.21.0