---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test_wav2vec2_ESC50
  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. -->

# test_wav2vec2_ESC50

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: 1.0326
- Accuracy: 0.7104

## 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: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 2.1292        | 0.9863 | 54   | 2.1314          | 0.2576   |
| 1.7714        | 1.9909 | 109  | 1.7812          | 0.4087   |
| 1.5023        | 2.9954 | 164  | 1.6238          | 0.4951   |
| 1.3402        | 4.0    | 219  | 1.3518          | 0.6022   |
| 1.1629        | 4.9863 | 273  | 1.2371          | 0.6440   |
| 1.0466        | 5.9909 | 328  | 1.1422          | 0.6789   |
| 0.9478        | 6.9954 | 383  | 1.0848          | 0.6875   |
| 0.879         | 8.0    | 438  | 1.1490          | 0.6577   |
| 0.8719        | 8.9863 | 492  | 1.0175          | 0.7121   |
| 0.8069        | 9.8630 | 540  | 1.0326          | 0.7104   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1