---
tags:
- generated_from_trainer
model-index:
- name: interpro_bert_2
  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_bert_2

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: 0.4333

## 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: 256
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 2048
- total_eval_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.2702        | 1.0   | 14395  | 1.1699          |
| 0.9079        | 2.0   | 28790  | 0.8665          |
| 0.7738        | 3.0   | 43185  | 0.7505          |
| 0.6959        | 4.0   | 57580  | 0.6820          |
| 0.6327        | 5.0   | 71975  | 0.6302          |
| 0.5899        | 6.0   | 86370  | 0.5956          |
| 0.5462        | 7.0   | 100765 | 0.5654          |
| 0.5155        | 8.0   | 115160 | 0.5395          |
| 0.4836        | 9.0   | 129555 | 0.5149          |
| 0.4633        | 10.0  | 143950 | 0.4984          |
| 0.441         | 11.0  | 158345 | 0.4774          |
| 0.4212        | 12.0  | 172740 | 0.4641          |
| 0.404         | 13.0  | 187135 | 0.4479          |
| 0.3883        | 14.0  | 201530 | 0.4401          |
| 0.3781        | 15.0  | 215925 | 0.4333          |


### Framework versions

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