---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
datasets:
- audiofolder
model-index:
- name: 1.0.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 1.0.0

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1  | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:---:|:---------:|:------:|
| No log        | 1.0   | 2    | 0.6959          | 0.2 | 0.5       | 0.125  |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1
- Datasets 3.0.0
- Tokenizers 0.20.0