---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: HuBERT-base-libriSpeech-demo-colab
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# HuBERT-base-libriSpeech-demo-colab

This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1456
- Wer: 0.2443

## 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: 2
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 7.6395        | 13.51 | 500  | 3.1933          | 0.9930 |
| 2.5994        | 27.03 | 1000 | 0.1456          | 0.2443 |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1