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

# chordektomie-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: 0.3381
- Accuracy: 0.9091

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6948        | 1.0   | 6    | 0.6942          | 0.4091   |
| 0.6393        | 2.0   | 12   | 0.6864          | 0.4091   |
| 0.5059        | 3.0   | 18   | 0.5804          | 0.7727   |
| 0.3832        | 4.0   | 24   | 0.6555          | 0.5909   |
| 0.3113        | 5.0   | 30   | 0.4741          | 0.8182   |
| 0.2529        | 6.0   | 36   | 0.2765          | 0.9545   |
| 0.1891        | 7.0   | 42   | 0.2377          | 0.9545   |
| 0.1966        | 8.0   | 48   | 0.2146          | 0.9545   |
| 0.1326        | 9.0   | 54   | 0.2941          | 0.9091   |
| 0.1938        | 10.0  | 60   | 0.3241          | 0.9091   |
| 0.0933        | 11.0  | 66   | 0.3281          | 0.9091   |
| 0.0831        | 12.0  | 72   | 0.4237          | 0.8636   |
| 0.0801        | 13.0  | 78   | 0.3362          | 0.9091   |
| 0.0632        | 14.0  | 84   | 0.3377          | 0.9091   |
| 0.0746        | 15.0  | 90   | 0.3381          | 0.9091   |


### Framework versions

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