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---
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: []
---
<!-- 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. -->
# 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
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