---
license: apache-2.0
base_model: facebook/hubert-large-ll60k
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: speech_ocean_hubert_mdd
  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. -->

# speech_ocean_hubert_mdd

This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1563
- Wer: 0.0612
- Cer: 0.0573

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 24.692        | 0.9873  | 39   | 19.7376         | 0.9997 | 0.9999 |
| 6.7786        | 2.0     | 79   | 3.8382          | 1.0    | 1.0    |
| 3.77          | 2.9873  | 118  | 3.2211          | 1.0    | 1.0    |
| 3.1537        | 4.0     | 158  | 3.1178          | 1.0    | 1.0    |
| 3.0849        | 4.9873  | 197  | 3.0815          | 1.0    | 1.0    |
| 3.08          | 6.0     | 237  | 3.0583          | 1.0    | 1.0    |
| 3.0887        | 6.9873  | 276  | 3.0658          | 1.0    | 1.0    |
| 3.0528        | 8.0     | 316  | 3.0221          | 1.0    | 1.0    |
| 2.9694        | 8.9873  | 355  | 2.8183          | 1.0    | 1.0    |
| 2.6127        | 10.0    | 395  | 2.3266          | 0.9892 | 0.9935 |
| 2.0376        | 10.9873 | 434  | 1.6122          | 0.6557 | 0.6453 |
| 1.692         | 12.0    | 474  | 1.1974          | 0.4865 | 0.4708 |
| 1.245         | 12.9873 | 513  | 0.7927          | 0.2645 | 0.2425 |
| 0.9455        | 14.0    | 553  | 0.5426          | 0.1636 | 0.1371 |
| 0.7612        | 14.9873 | 592  | 0.3803          | 0.1214 | 0.1069 |
| 0.6122        | 16.0    | 632  | 0.2850          | 0.0912 | 0.0824 |
| 0.4748        | 16.9873 | 671  | 0.2247          | 0.0777 | 0.0705 |
| 0.4095        | 18.0    | 711  | 0.1796          | 0.0676 | 0.0626 |
| 0.348         | 18.9873 | 750  | 0.1623          | 0.0638 | 0.0595 |
| 0.3615        | 19.7468 | 780  | 0.1563          | 0.0612 | 0.0573 |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1