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

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: 0.3963
- Accuracy: 0.8636

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6931        | 1.0   | 6    | 0.7023          | 0.2273   |
| 0.6659        | 2.0   | 12   | 0.7066          | 0.3182   |
| 0.5839        | 3.0   | 18   | 0.5774          | 0.8636   |
| 0.4567        | 4.0   | 24   | 0.5393          | 0.8182   |
| 0.3303        | 5.0   | 30   | 0.4371          | 0.8182   |
| 0.2379        | 6.0   | 36   | 0.3744          | 0.8182   |
| 0.1511        | 7.0   | 42   | 0.5223          | 0.8182   |
| 0.1061        | 8.0   | 48   | 0.5431          | 0.8182   |
| 0.0781        | 9.0   | 54   | 0.3211          | 0.9091   |
| 0.0623        | 10.0  | 60   | 0.3216          | 0.9091   |
| 0.0681        | 11.0  | 66   | 0.3336          | 0.9091   |
| 0.0475        | 12.0  | 72   | 0.3459          | 0.9091   |
| 0.0441        | 13.0  | 78   | 0.3811          | 0.8636   |
| 0.0419        | 14.0  | 84   | 0.3959          | 0.8636   |
| 0.0409        | 15.0  | 90   | 0.3963          | 0.8636   |


### Framework versions

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