---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-wtimit-finetune
  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-wtimit-finetune

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: 0.0383
- Wer: 0.0160

## 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: 64
- 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: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 5.3743        | 2.82  | 500  | 2.9567          | 1.0    |
| 1.866         | 5.65  | 1000 | 0.2856          | 0.2580 |
| 0.2005        | 8.47  | 1500 | 0.0979          | 0.0669 |
| 0.08          | 11.3  | 2000 | 0.0617          | 0.0325 |
| 0.0497        | 14.12 | 2500 | 0.0578          | 0.0284 |
| 0.0348        | 16.95 | 3000 | 0.0557          | 0.0239 |
| 0.0269        | 19.77 | 3500 | 0.0447          | 0.0212 |
| 0.0198        | 22.6  | 4000 | 0.0437          | 0.0177 |
| 0.016         | 25.42 | 4500 | 0.0407          | 0.0164 |
| 0.014         | 28.25 | 5000 | 0.0383          | 0.0160 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.9.1+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3