---
tags:
- generated_from_trainer
model-index:
- name: interpro_bert3
  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. -->

# interpro_bert3

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4142

## 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: 200
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 1600
- total_eval_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.2045        | 1.0   | 18425  | 1.1198          |
| 0.8936        | 2.0   | 36850  | 0.8563          |
| 0.7736        | 3.0   | 55275  | 0.7475          |
| 0.6946        | 4.0   | 73700  | 0.6877          |
| 0.8083        | 5.0   | 92125  | 0.7509          |
| 0.677         | 6.0   | 110550 | 0.6578          |
| 0.778         | 7.0   | 128975 | 0.7306          |
| 0.6017        | 8.0   | 147400 | 0.5994          |
| 0.5646        | 9.0   | 165825 | 0.5704          |
| 0.5352        | 10.0  | 184250 | 0.5479          |
| 0.532         | 11.0  | 202675 | 0.5496          |
| 0.495         | 12.0  | 221100 | 0.5198          |
| 0.4714        | 13.0  | 239525 | 0.4971          |
| 0.4497        | 14.0  | 257950 | 0.4797          |
| 0.4312        | 15.0  | 276375 | 0.4670          |
| 0.4131        | 16.0  | 294800 | 0.4494          |
| 0.4001        | 17.0  | 313225 | 0.4411          |
| 0.3828        | 18.0  | 331650 | 0.4316          |
| 0.3665        | 19.0  | 350075 | 0.4201          |
| 0.3592        | 20.0  | 368500 | 0.4142          |


### Framework versions

- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2