---
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: 0.6266
- 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: 3e-05
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7031        | 1.0   | 4    | 0.6858          | 0.5385   |
| 0.631         | 2.0   | 8    | 0.6973          | 0.3846   |
| 0.7272        | 3.0   | 12   | 0.7615          | 0.3846   |
| 0.5345        | 4.0   | 16   | 0.7592          | 0.4615   |
| 0.7417        | 5.0   | 20   | 0.7341          | 0.4615   |
| 0.6045        | 6.0   | 24   | 0.7095          | 0.4615   |
| 0.5344        | 7.0   | 28   | 0.7080          | 0.3846   |
| 0.4422        | 8.0   | 32   | 0.7393          | 0.4615   |
| 0.4156        | 9.0   | 36   | 0.7389          | 0.4615   |
| 0.3876        | 10.0  | 40   | 0.7068          | 0.5385   |
| 0.3761        | 11.0  | 44   | 0.6788          | 0.5385   |
| 0.433         | 12.0  | 48   | 0.6340          | 0.5385   |
| 0.3416        | 13.0  | 52   | 0.6109          | 0.5385   |
| 0.3447        | 14.0  | 56   | 0.6167          | 0.5385   |
| 0.3328        | 15.0  | 60   | 0.6266          | 0.5385   |


### Framework versions

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