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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_528_10
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_528_10
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: 0.7757
- Wer: 0.2425
## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 1.1878 | 0.3378 | 100 | 0.9689 | 0.3245 |
| 1.2219 | 0.6757 | 200 | 0.8869 | 0.2887 |
| 1.4146 | 1.0135 | 300 | 0.7800 | 0.2827 |
| 0.9472 | 1.3514 | 400 | 0.7899 | 0.2829 |
| 0.9176 | 1.6892 | 500 | 0.8345 | 0.2773 |
| 1.0975 | 2.0270 | 600 | 0.8103 | 0.2704 |
| 1.0267 | 2.3649 | 700 | 0.8043 | 0.2661 |
| 0.9401 | 2.7027 | 800 | 0.8001 | 0.2648 |
| 0.9752 | 3.0405 | 900 | 0.8112 | 0.2595 |
| 0.9301 | 3.3784 | 1000 | 0.8174 | 0.2593 |
| 0.7361 | 3.7162 | 1100 | 0.8497 | 0.2567 |
| 0.9846 | 4.0541 | 1200 | 0.8002 | 0.2513 |
| 0.9202 | 4.3919 | 1300 | 0.7937 | 0.2524 |
| 0.7069 | 4.7297 | 1400 | 0.8582 | 0.2448 |
| 1.0649 | 5.0676 | 1500 | 0.7993 | 0.2449 |
| 0.6096 | 5.4054 | 1600 | 0.8183 | 0.2442 |
| 0.6876 | 5.7432 | 1700 | 0.8041 | 0.2426 |
| 0.7614 | 6.0811 | 1800 | 0.8133 | 0.2454 |
| 0.572 | 6.4189 | 1900 | 0.7747 | 0.2441 |
| 0.5909 | 6.7568 | 2000 | 0.7610 | 0.2447 |
| 0.562 | 7.0946 | 2100 | 0.7784 | 0.2450 |
| 0.5979 | 7.4324 | 2200 | 0.7675 | 0.2427 |
| 0.541 | 7.7703 | 2300 | 0.7757 | 0.2425 |
### Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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