---
license: apache-2.0
base_model: nferruz/ProtGPT2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 5e06_output_dir_clean_df_10-100_noX_100_50_epoch_cluster
  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. -->

# 5e06_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: 4.4642
- Accuracy: 0.3637

## 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-06
- 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  | 6.0108          | 0.2185   |
| No log        | 2.0   | 296  | 5.8304          | 0.2297   |
| No log        | 3.0   | 444  | 5.6868          | 0.2394   |
| 5.9726        | 4.0   | 592  | 5.5732          | 0.2492   |
| 5.9726        | 5.0   | 740  | 5.4748          | 0.2587   |
| 5.9726        | 6.0   | 888  | 5.3871          | 0.2673   |
| 5.5397        | 7.0   | 1036 | 5.3085          | 0.2756   |
| 5.5397        | 8.0   | 1184 | 5.2401          | 0.2827   |
| 5.5397        | 9.0   | 1332 | 5.1811          | 0.2888   |
| 5.5397        | 10.0  | 1480 | 5.1277          | 0.2933   |
| 5.2883        | 11.0  | 1628 | 5.0796          | 0.2983   |
| 5.2883        | 12.0  | 1776 | 5.0358          | 0.3030   |
| 5.2883        | 13.0  | 1924 | 4.9951          | 0.3067   |
| 5.1076        | 14.0  | 2072 | 4.9572          | 0.3103   |
| 5.1076        | 15.0  | 2220 | 4.9200          | 0.3139   |
| 5.1076        | 16.0  | 2368 | 4.8877          | 0.3172   |
| 4.9674        | 17.0  | 2516 | 4.8551          | 0.3203   |
| 4.9674        | 18.0  | 2664 | 4.8258          | 0.3232   |
| 4.9674        | 19.0  | 2812 | 4.8008          | 0.3265   |
| 4.9674        | 20.0  | 2960 | 4.7743          | 0.3289   |
| 4.858         | 21.0  | 3108 | 4.7497          | 0.3317   |
| 4.858         | 22.0  | 3256 | 4.7271          | 0.3338   |
| 4.858         | 23.0  | 3404 | 4.7058          | 0.3363   |
| 4.76          | 24.0  | 3552 | 4.6866          | 0.3384   |
| 4.76          | 25.0  | 3700 | 4.6684          | 0.3404   |
| 4.76          | 26.0  | 3848 | 4.6486          | 0.3425   |
| 4.76          | 27.0  | 3996 | 4.6323          | 0.3443   |
| 4.6863        | 28.0  | 4144 | 4.6155          | 0.3459   |
| 4.6863        | 29.0  | 4292 | 4.6016          | 0.3476   |
| 4.6863        | 30.0  | 4440 | 4.5874          | 0.3490   |
| 4.6168        | 31.0  | 4588 | 4.5742          | 0.3505   |
| 4.6168        | 32.0  | 4736 | 4.5628          | 0.3518   |
| 4.6168        | 33.0  | 4884 | 4.5507          | 0.3534   |
| 4.5684        | 34.0  | 5032 | 4.5412          | 0.3543   |
| 4.5684        | 35.0  | 5180 | 4.5316          | 0.3558   |
| 4.5684        | 36.0  | 5328 | 4.5207          | 0.3570   |
| 4.5684        | 37.0  | 5476 | 4.5132          | 0.3580   |
| 4.5277        | 38.0  | 5624 | 4.5054          | 0.3588   |
| 4.5277        | 39.0  | 5772 | 4.4993          | 0.3597   |
| 4.5277        | 40.0  | 5920 | 4.4931          | 0.3604   |
| 4.4886        | 41.0  | 6068 | 4.4879          | 0.3611   |
| 4.4886        | 42.0  | 6216 | 4.4821          | 0.3617   |
| 4.4886        | 43.0  | 6364 | 4.4778          | 0.3622   |
| 4.4727        | 44.0  | 6512 | 4.4741          | 0.3626   |
| 4.4727        | 45.0  | 6660 | 4.4710          | 0.3630   |
| 4.4727        | 46.0  | 6808 | 4.4691          | 0.3633   |
| 4.4727        | 47.0  | 6956 | 4.4664          | 0.3634   |
| 4.4542        | 48.0  | 7104 | 4.4652          | 0.3636   |
| 4.4542        | 49.0  | 7252 | 4.4644          | 0.3637   |
| 4.4542        | 50.0  | 7400 | 4.4642          | 0.3637   |


### Framework versions

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