---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- lj_speech
model-index:
- name: wav2vec2-model-training
  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-model-training

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the lj_speech dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1258
- Wer: 0.1446

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.5099        | 1.52  | 500  | 1.1323          | 0.6740 |
| 0.3293        | 3.05  | 1000 | 0.1430          | 0.1851 |
| 0.1047        | 4.57  | 1500 | 0.1258          | 0.1446 |


### Framework versions

- Transformers 4.17.0
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2