pytorch tensorboard wav2vec2 automatic-speech-recognition transformers generated_from_trainer license:apache-2.0 model-index
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-common-voice-fa-demo-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-common-voice-fa-demo-colab

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0558
- Wer: 1.0

## 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: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 5.1626        | 0.3   | 100  | 4.0692          | 1.0 |
| 5.1776        | 0.6   | 200  | 3.6640          | 1.0 |
| 3.6628        | 0.9   | 300  | 3.3832          | 1.0 |
| 3.2022        | 1.2   | 400  | 3.3492          | 1.0 |
| 3.1714        | 1.5   | 500  | 3.3215          | 1.0 |
| 3.0689        | 1.8   | 600  | 3.0806          | 1.0 |
| 3.1478        | 2.1   | 700  | 3.0624          | 1.0 |
| 3.1818        | 2.4   | 800  | 3.0777          | 1.0 |
| 3.159         | 2.7   | 900  | 3.0558          | 1.0 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
