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---
license: apache-2.0
base_model: facebook/hubert-large-ll60k
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert_new
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_new
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: 0.0652
- Wer: 0.0332
- Cer: 0.0321
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 32.501 | 1.0 | 26 | 30.2361 | 1.4946 | 1.4799 |
| 18.4587 | 2.0 | 52 | 10.7837 | 1.0 | 1.0 |
| 7.9821 | 3.0 | 78 | 4.0872 | 1.0 | 1.0 |
| 4.0414 | 4.0 | 104 | 3.4348 | 1.0 | 1.0 |
| 3.3351 | 5.0 | 130 | 3.2570 | 1.0 | 1.0 |
| 3.2641 | 6.0 | 156 | 3.2289 | 1.0 | 1.0 |
| 3.2492 | 7.0 | 182 | 3.1934 | 1.0 | 1.0 |
| 3.2815 | 8.0 | 208 | 3.1768 | 1.0 | 1.0 |
| 3.1516 | 9.0 | 234 | 3.1230 | 1.0 | 1.0 |
| 3.1305 | 10.0 | 260 | 3.0061 | 1.0 | 1.0 |
| 2.9981 | 11.0 | 286 | 2.8843 | 1.0 | 1.0 |
| 2.6928 | 12.0 | 312 | 2.4900 | 1.0 | 1.0 |
| 2.3977 | 13.0 | 338 | 2.0772 | 0.9470 | 0.9594 |
| 1.9738 | 14.0 | 364 | 1.5876 | 0.7353 | 0.7459 |
| 1.2899 | 15.0 | 390 | 0.9695 | 0.5152 | 0.5217 |
| 0.9936 | 16.0 | 416 | 0.5316 | 0.2774 | 0.2768 |
| 0.6417 | 17.0 | 442 | 0.2814 | 0.1217 | 0.1146 |
| 0.4256 | 18.0 | 468 | 0.1658 | 0.0645 | 0.0623 |
| 0.2974 | 19.0 | 494 | 0.1023 | 0.0435 | 0.0419 |
| 0.1767 | 20.0 | 520 | 0.0652 | 0.0332 | 0.0321 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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