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

# result

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: 0.0001
- Accuracy: {'accuracy': 1.0}
- F1score: {'f1': 1.0}

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy                         | F1score                    |
|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:--------------------------:|
| 0.0164        | 1.0   | 490  | 0.0041          | {'accuracy': 0.9994051160023796} | {'f1': 0.9994050913164501} |
| 0.0787        | 2.0   | 980  | 0.0020          | {'accuracy': 0.9994051160023796} | {'f1': 0.9994050913164501} |
| 0.0004        | 3.0   | 1470 | 0.0002          | {'accuracy': 1.0}                | {'f1': 1.0}                |
| 0.0003        | 4.0   | 1960 | 0.0002          | {'accuracy': 1.0}                | {'f1': 1.0}                |
| 0.0086        | 5.0   | 2450 | 0.0001          | {'accuracy': 1.0}                | {'f1': 1.0}                |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1