---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: resultsfinal
  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. -->

# resultsfinal

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6727
- Accuracy: 0.6180

## 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: 0.005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7409        | 1.0   | 23   | 0.7039          | 0.6180   |
| 0.696         | 2.0   | 46   | 0.6730          | 0.6180   |
| 0.6814        | 3.0   | 69   | 0.6656          | 0.6180   |
| 0.6928        | 4.0   | 92   | 0.6776          | 0.6180   |
| 0.7039        | 5.0   | 115  | 0.6706          | 0.6180   |
| 0.6963        | 6.0   | 138  | 0.6704          | 0.6180   |
| 0.7109        | 7.0   | 161  | 0.6724          | 0.6180   |
| 0.7048        | 8.0   | 184  | 0.6678          | 0.6180   |
| 0.6897        | 9.0   | 207  | 0.6745          | 0.6180   |
| 0.694         | 10.0  | 230  | 0.6742          | 0.6180   |
| 0.6761        | 11.0  | 253  | 0.6704          | 0.6180   |
| 0.6856        | 12.0  | 276  | 0.6666          | 0.6180   |
| 0.6796        | 13.0  | 299  | 0.6720          | 0.6180   |
| 0.7024        | 14.0  | 322  | 0.6738          | 0.6180   |
| 0.68          | 15.0  | 345  | 0.6721          | 0.6180   |
| 0.6799        | 16.0  | 368  | 0.6696          | 0.6180   |
| 0.6912        | 17.0  | 391  | 0.6727          | 0.6180   |
| 0.6896        | 18.0  | 414  | 0.6735          | 0.6180   |
| 0.6856        | 19.0  | 437  | 0.6731          | 0.6180   |
| 0.6753        | 20.0  | 460  | 0.6727          | 0.6180   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3