---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mydata-iau
  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. -->

# mydata-iau

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6711
- Accuracy: 0.5385

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.697         | 1.0   | 7    | 0.6964          | 0.3846   |
| 0.667         | 2.0   | 14   | 0.6996          | 0.3846   |
| 0.6334        | 3.0   | 21   | 0.7151          | 0.3846   |
| 0.6045        | 4.0   | 28   | 0.7357          | 0.3846   |
| 0.6263        | 5.0   | 35   | 0.7421          | 0.3846   |
| 0.549         | 6.0   | 42   | 0.7133          | 0.3846   |
| 0.5676        | 7.0   | 49   | 0.7031          | 0.3846   |
| 0.5625        | 8.0   | 56   | 0.7056          | 0.3846   |
| 0.5074        | 9.0   | 63   | 0.6912          | 0.4615   |
| 0.5372        | 10.0  | 70   | 0.6904          | 0.4615   |
| 0.5103        | 11.0  | 77   | 0.6856          | 0.4615   |
| 0.47          | 12.0  | 84   | 0.6895          | 0.4615   |
| 0.4951        | 13.0  | 91   | 0.6855          | 0.4615   |
| 0.4505        | 14.0  | 98   | 0.6744          | 0.5385   |
| 0.4395        | 15.0  | 105  | 0.6711          | 0.5385   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.12.0
- Tokenizers 0.15.1