---
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: amiriparian/ExHuBERT
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ExHubert_fine-tuned
  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. -->

# ExHubert_fine-tuned

This model is a fine-tuned version of [amiriparian/ExHuBERT](https://huggingface.co/amiriparian/ExHuBERT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5088
- Accuracy: 0.8223

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6221        | 1.0   | 185  | 0.5979          | 0.6757   |
| 0.6233        | 2.0   | 370  | 0.4852          | 0.7938   |
| 0.7272        | 3.0   | 555  | 0.4642          | 0.8087   |
| 0.7101        | 4.0   | 740  | 0.4791          | 0.8182   |
| 0.4366        | 5.0   | 925  | 0.5088          | 0.8223   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0