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
  results: []
---

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# hubert-large-ls960-ft-V2

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: 0.3760
- Wer: 0.0445
- Per: 0.0354

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 5.7632        | 1.0   | 1637  | 0.8273          | 0.3876 | 0.3794 |
| 0.374         | 2.0   | 3274  | 0.4468          | 0.0635 | 0.0493 |
| 0.1657        | 3.0   | 4911  | 0.3662          | 0.0596 | 0.0460 |
| 0.1179        | 4.0   | 6548  | 0.3809          | 0.0518 | 0.0401 |
| 0.0922        | 5.0   | 8185  | 0.4233          | 0.0519 | 0.0386 |
| 0.0763        | 6.0   | 9822  | 0.3852          | 0.0517 | 0.0390 |
| 0.0649        | 7.0   | 11459 | 0.3056          | 0.0487 | 0.0377 |
| 0.056         | 8.0   | 13096 | 0.3266          | 0.0460 | 0.0353 |
| 0.0467        | 9.0   | 14733 | 0.3608          | 0.0458 | 0.0346 |
| 0.04          | 10.0  | 16370 | 0.3399          | 0.0461 | 0.0355 |
| 0.0356        | 11.0  | 18007 | 0.3549          | 0.0441 | 0.0341 |
| 0.0336        | 12.0  | 19644 | 0.3391          | 0.0430 | 0.0332 |
| 0.0338        | 13.0  | 21281 | 0.3968          | 0.0482 | 0.0383 |
| 0.0278        | 14.0  | 22918 | 0.3699          | 0.0468 | 0.0376 |
| 0.0224        | 15.0  | 24555 | 0.3680          | 0.0458 | 0.0365 |
| 0.0225        | 16.0  | 26192 | 0.3713          | 0.0477 | 0.0392 |
| 0.0189        | 17.0  | 27829 | 0.3681          | 0.0442 | 0.0350 |
| 0.0185        | 18.0  | 29466 | 0.3829          | 0.0444 | 0.0352 |
| 0.018         | 19.0  | 31103 | 0.3866          | 0.0450 | 0.0354 |
| 0.0169        | 20.0  | 32740 | 0.3760          | 0.0445 | 0.0354 |


### Framework versions

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