---
license: apache-2.0
base_model: facebook/hubert-large-ll60k
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert-large-ll60k-librispeech-clean-100h-demo-dist
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# hubert-large-ll60k-librispeech-clean-100h-demo-dist

This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9209
- Wer: 1.0
- Cer: 1.0

## 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: 0.0003
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-----:|:----:|:---------------:|:---:|:---:|
| 2.9166        | 1.79  | 100  | 2.9209          | 1.0 | 1.0 |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.8.0
- Tokenizers 0.15.2