---
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: 0.2027
- Wer: 0.0517
- Cer: 0.0499

## 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    |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 42.7069       | 0.9873  | 39   | 36.7247         | 0.9992 | 0.9977 |
| 16.2787       | 2.0     | 79   | 7.8315          | 1.0    | 1.0    |
| 6.7896        | 2.9873  | 118  | 4.5645          | 1.0    | 1.0    |
| 4.0104        | 4.0     | 158  | 3.8654          | 1.0    | 1.0    |
| 3.8037        | 4.9873  | 197  | 3.8060          | 1.0    | 1.0    |
| 3.7898        | 6.0     | 237  | 3.7695          | 1.0    | 1.0    |
| 3.7777        | 6.9873  | 276  | 3.7717          | 1.0    | 1.0    |
| 3.7442        | 8.0     | 316  | 3.7320          | 1.0    | 1.0    |
| 3.7286        | 8.9873  | 355  | 3.6978          | 1.0    | 1.0    |
| 3.6272        | 10.0    | 395  | 3.5089          | 1.0    | 1.0    |
| 3.0921        | 10.9873 | 434  | 2.6068          | 0.9992 | 0.9997 |
| 2.2556        | 12.0    | 474  | 1.6832          | 0.5880 | 0.6815 |
| 1.7791        | 12.9873 | 513  | 1.2117          | 0.3861 | 0.4433 |
| 1.2731        | 14.0    | 553  | 0.7338          | 0.1793 | 0.1505 |
| 0.9596        | 14.9873 | 592  | 0.4892          | 0.1220 | 0.1005 |
| 0.7152        | 16.0    | 632  | 0.3525          | 0.0892 | 0.0752 |
| 0.521         | 16.9873 | 671  | 0.2843          | 0.0704 | 0.0623 |
| 0.4791        | 18.0    | 711  | 0.2351          | 0.0607 | 0.0568 |
| 0.3992        | 18.9873 | 750  | 0.2120          | 0.0547 | 0.0523 |
| 0.4245        | 19.7468 | 780  | 0.2027          | 0.0517 | 0.0499 |


### Framework versions

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