---
license: apache-2.0
base_model: facebook/wav2vec2-large-960h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-cv-demo-google-colab
  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. -->

# wav2vec2-base-cv-demo-google-colab

This model is a fine-tuned version of [facebook/wav2vec2-large-960h](https://huggingface.co/facebook/wav2vec2-large-960h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3575
- Wer: 0.2805

## 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: 0.0001
- 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_steps: 1000
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 8.951         | 0.7126 | 300  | 3.0660          | 1.0    |
| 3.0514        | 1.4252 | 600  | 2.9228          | 1.0    |
| 2.7598        | 2.1378 | 900  | 0.7960          | 0.5544 |
| 0.7975        | 2.8504 | 1200 | 0.3575          | 0.2805 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1