---
base_model: nferruz/ProtGPT2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 5e05_output_dir_clean_df_10-100_noX_100_50_epoch_cluster
  results: []
widget:
- text: <|endoftext|>
---

<!-- 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. -->

# 5e05_output_dir_clean_df_10-100_noX_100_50_epoch_cluster

This model is a fine-tuned version of [nferruz/ProtGPT2](https://huggingface.co/nferruz/ProtGPT2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4181
- Accuracy: 0.5481

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 148  | 5.1495          | 0.2912   |
| No log        | 2.0   | 296  | 4.6761          | 0.3383   |
| No log        | 3.0   | 444  | 4.3827          | 0.3712   |
| 4.9816        | 4.0   | 592  | 4.1762          | 0.3960   |
| 4.9816        | 5.0   | 740  | 4.0295          | 0.4136   |
| 4.9816        | 6.0   | 888  | 3.9151          | 0.4276   |
| 3.9068        | 7.0   | 1036 | 3.8298          | 0.4400   |
| 3.9068        | 8.0   | 1184 | 3.7551          | 0.4500   |
| 3.9068        | 9.0   | 1332 | 3.6968          | 0.4586   |
| 3.9068        | 10.0  | 1480 | 3.6389          | 0.4668   |
| 3.3777        | 11.0  | 1628 | 3.5960          | 0.4743   |
| 3.3777        | 12.0  | 1776 | 3.5560          | 0.4803   |
| 3.3777        | 13.0  | 1924 | 3.5380          | 0.4868   |
| 3.0075        | 14.0  | 2072 | 3.4846          | 0.4914   |
| 3.0075        | 15.0  | 2220 | 3.4658          | 0.4969   |
| 3.0075        | 16.0  | 2368 | 3.4555          | 0.5010   |
| 2.7329        | 17.0  | 2516 | 3.4300          | 0.5053   |
| 2.7329        | 18.0  | 2664 | 3.4208          | 0.5080   |
| 2.7329        | 19.0  | 2812 | 3.4250          | 0.5121   |
| 2.7329        | 20.0  | 2960 | 3.3964          | 0.5147   |
| 2.5153        | 21.0  | 3108 | 3.3893          | 0.5181   |
| 2.5153        | 22.0  | 3256 | 3.3914          | 0.5204   |
| 2.5153        | 23.0  | 3404 | 3.3819          | 0.5229   |
| 2.336         | 24.0  | 3552 | 3.3786          | 0.5247   |
| 2.336         | 25.0  | 3700 | 3.3749          | 0.5267   |
| 2.336         | 26.0  | 3848 | 3.3774          | 0.5287   |
| 2.336         | 27.0  | 3996 | 3.3700          | 0.5303   |
| 2.1918        | 28.0  | 4144 | 3.3722          | 0.5321   |
| 2.1918        | 29.0  | 4292 | 3.3729          | 0.5340   |
| 2.1918        | 30.0  | 4440 | 3.3896          | 0.5350   |
| 2.0717        | 31.0  | 4588 | 3.3776          | 0.5367   |
| 2.0717        | 32.0  | 4736 | 3.3842          | 0.5385   |
| 2.0717        | 33.0  | 4884 | 3.3820          | 0.5399   |
| 1.9814        | 34.0  | 5032 | 3.3933          | 0.5404   |
| 1.9814        | 35.0  | 5180 | 3.3861          | 0.5411   |
| 1.9814        | 36.0  | 5328 | 3.3878          | 0.5425   |
| 1.9814        | 37.0  | 5476 | 3.3903          | 0.5431   |
| 1.9049        | 38.0  | 5624 | 3.3848          | 0.5440   |
| 1.9049        | 39.0  | 5772 | 3.3965          | 0.5447   |
| 1.9049        | 40.0  | 5920 | 3.4033          | 0.5453   |
| 1.8441        | 41.0  | 6068 | 3.4074          | 0.5456   |
| 1.8441        | 42.0  | 6216 | 3.4046          | 0.5462   |
| 1.8441        | 43.0  | 6364 | 3.4120          | 0.5467   |
| 1.804         | 44.0  | 6512 | 3.4044          | 0.5467   |
| 1.804         | 45.0  | 6660 | 3.4125          | 0.5472   |
| 1.804         | 46.0  | 6808 | 3.4115          | 0.5477   |
| 1.804         | 47.0  | 6956 | 3.4070          | 0.5477   |
| 1.7744        | 48.0  | 7104 | 3.4203          | 0.5478   |
| 1.7744        | 49.0  | 7252 | 3.4174          | 0.5479   |
| 1.7744        | 50.0  | 7400 | 3.4181          | 0.5481   |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0