transformers safetensors hubert automatic-speech-recognition generated_from_trainer base_model:facebook/hubert-large-ls960-ft license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/hubert-large-ls960-ft
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert-large-ls960-ft-V2-50
  results: []
---

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# hubert-large-ls960-ft-V2-50

This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9222
- Wer: 0.0732
- Per: 0.0540

## 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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Per    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 12.8849       | 1.0   | 818   | 4.5925          | 0.9551 | 0.9649 |
| 2.7511        | 2.0   | 1636  | 1.7073          | 0.4693 | 0.4560 |
| 1.1653        | 3.0   | 2454  | 1.1204          | 0.1534 | 0.1317 |
| 0.7529        | 4.0   | 3272  | 1.0336          | 0.1055 | 0.0841 |
| 0.6309        | 5.0   | 4090  | 1.0015          | 0.1023 | 0.0817 |
| 0.5354        | 6.0   | 4908  | 1.0387          | 0.0992 | 0.0777 |
| 0.4907        | 7.0   | 5726  | 0.9957          | 0.1087 | 0.0893 |
| 0.4326        | 8.0   | 6544  | 0.8882          | 0.1091 | 0.0844 |
| 0.4148        | 9.0   | 7362  | 0.9542          | 0.0830 | 0.0638 |
| 0.3779        | 10.0  | 8180  | 0.9479          | 0.0690 | 0.0501 |
| 0.3502        | 11.0  | 8998  | 0.9840          | 0.0689 | 0.0491 |
| 0.3294        | 12.0  | 9816  | 1.0877          | 0.0694 | 0.0491 |
| 0.3239        | 13.0  | 10634 | 0.8955          | 0.0731 | 0.0534 |
| 0.3069        | 14.0  | 11452 | 0.8547          | 0.0776 | 0.0580 |
| 0.2689        | 15.0  | 12270 | 0.9683          | 0.0720 | 0.0525 |
| 0.2486        | 16.0  | 13088 | 0.9282          | 0.0704 | 0.0519 |
| 0.2291        | 17.0  | 13906 | 0.9004          | 0.0671 | 0.0481 |
| 0.2294        | 18.0  | 14724 | 0.9242          | 0.0747 | 0.0547 |
| 0.2151        | 19.0  | 15542 | 0.9400          | 0.0747 | 0.0554 |
| 0.2109        | 20.0  | 16360 | 0.9222          | 0.0732 | 0.0540 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
