---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr1e-4_at0.4_da1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# w2v2-base-pretrained_lr1e-4_at0.4_da1

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: 6.1307
- Wer: 1.0580

## 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: 32
- 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: 60
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 14.7571       | 8.06  | 500  | 3.6451          | 1.0    |
| 1.7406        | 16.13 | 1000 | 3.2148          | 1.0448 |
| 0.2001        | 24.19 | 1500 | 4.3045          | 1.0345 |
| 0.0734        | 32.26 | 2000 | 5.3205          | 1.0516 |
| 0.0402        | 40.32 | 2500 | 5.5110          | 1.0477 |
| 0.0254        | 48.39 | 3000 | 5.8453          | 1.0554 |
| 0.0161        | 56.45 | 3500 | 6.1307          | 1.0580 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1