---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- f1
model-index:
- name: wav2vec2-base-finetuned-ks
  results:
  - task:
      name: Audio Classification
      type: audio-classification
    dataset:
      name: audiofolder
      type: audiofolder
      config: Data_Train
      split: train
      args: Data_Train
    metrics:
    - name: F1
      type: f1
      value: 0.8016517743184772
---

<!-- 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. -->

# wav2vec2-base-finetuned-ks

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1858
- F1: 0.8017

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.6077        | 1.0   | 602  | 2.5802          | 0.1587 |
| 1.9999        | 2.0   | 1204 | 2.0069          | 0.3600 |
| 1.4107        | 3.0   | 1806 | 1.6226          | 0.5527 |
| 0.9977        | 4.0   | 2408 | 1.2932          | 0.6719 |
| 0.8132        | 5.0   | 3010 | 1.2297          | 0.7030 |
| 0.5315        | 6.0   | 3612 | 1.0131          | 0.7745 |
| 0.5772        | 7.0   | 4214 | 1.1444          | 0.7782 |
| 0.0248        | 8.0   | 4816 | 1.1777          | 0.7850 |
| 0.0186        | 9.0   | 5418 | 1.2235          | 0.7910 |
| 0.2457        | 10.0  | 6020 | 1.1858          | 0.8017 |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3