README.md

---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-timit-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-timit-demo-google-colab

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6025
- Wer: 0.4421

## 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: 8
- 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: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.8753        | 3.05  | 500  | 2.1566          | 0.9599 |
| 1.3505        | 6.1   | 1000 | 0.7121          | 0.6287 |
| 0.7278        | 9.15  | 1500 | 0.5651          | 0.5202 |
| 0.5178        | 12.2  | 2000 | 0.5785          | 0.4942 |
| 0.3887        | 15.24 | 2500 | 0.5684          | 0.4723 |
| 0.3194        | 18.29 | 3000 | 0.5718          | 0.4635 |
| 0.2873        | 21.34 | 3500 | 0.5871          | 0.4552 |
| 0.24          | 24.39 | 4000 | 0.6020          | 0.4501 |
| 0.2151        | 27.44 | 4500 | 0.6025          | 0.4421 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2