---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wave2vec2_capstone
  results: []
datasets:
- mozilla-foundation/common_voice_16_1
language:
- en
- ca
- rw
- be
- eo
- de
- fr
- ka
- es
- lg
- sw
- fa
- it
- mh
- zh
- ba
- ta
- ru
- eu
- th
- pt
- pl
- ja
pipeline_tag: audio-classification
---


# wave2vec2_capstone

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2796
- Accuracy: 0.9400
- F1 score: 0.9399

## 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: 0.0003
- train_batch_size: 9
- eval_batch_size: 9
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 108
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.8951        | 1.0   | 776  | 1.1617          | 0.6651   | 0.6607   |
| 0.6608        | 2.0   | 1552 | 0.6345          | 0.8188   | 0.8188   |
| 0.4426        | 3.0   | 2328 | 0.4792          | 0.8672   | 0.8677   |
| 0.3576        | 4.0   | 3105 | 0.3826          | 0.8917   | 0.8929   |
| 0.194         | 5.0   | 3881 | 0.3255          | 0.9125   | 0.9130   |
| 0.1635        | 6.0   | 4657 | 0.2903          | 0.9208   | 0.9206   |
| 0.0903        | 7.0   | 5433 | 0.2990          | 0.9300   | 0.9299   |
| 0.0405        | 8.0   | 6208 | 0.2796          | 0.9400   | 0.9399   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0