---
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: 2.3987
- Wer: 0.5798
- Cer: 0.6474

## 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    |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 94.265        | 0.9873  | 39   | 85.1429         | 0.9995 | 0.9840 |
| 52.6364       | 2.0     | 79   | 32.7798         | 1.0    | 1.0    |
| 27.2435       | 2.9873  | 118  | 14.8924         | 1.0    | 1.0    |
| 10.122        | 4.0     | 158  | 7.1662          | 1.0    | 1.0    |
| 5.6778        | 4.9873  | 197  | 5.3731          | 1.0    | 1.0    |
| 5.3058        | 6.0     | 237  | 5.2800          | 1.0    | 1.0    |
| 5.3233        | 6.9873  | 276  | 5.2647          | 1.0    | 1.0    |
| 5.2846        | 8.0     | 316  | 5.2266          | 1.0    | 1.0    |
| 5.2555        | 8.9873  | 355  | 5.1857          | 1.0    | 1.0    |
| 5.172         | 10.0    | 395  | 5.1649          | 1.0    | 1.0    |
| 5.1551        | 10.9873 | 434  | 5.0741          | 1.0    | 1.0    |
| 5.1312        | 12.0    | 474  | 5.0101          | 1.0    | 1.0    |
| 4.9727        | 12.9873 | 513  | 4.7469          | 1.0    | 1.0    |
| 4.6317        | 14.0    | 553  | 4.3717          | 0.9541 | 0.9580 |
| 4.1657        | 14.9873 | 592  | 3.8313          | 0.8953 | 0.9418 |
| 3.7754        | 16.0    | 632  | 3.3712          | 0.8003 | 0.8418 |
| 3.3744        | 16.9873 | 671  | 2.9940          | 0.7360 | 0.8192 |
| 3.0452        | 18.0    | 711  | 2.6717          | 0.6829 | 0.7675 |
| 2.7951        | 18.9873 | 750  | 2.4711          | 0.6175 | 0.6972 |
| 2.7407        | 19.7468 | 780  | 2.3987          | 0.5798 | 0.6474 |


### Framework versions

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