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xls-r-300m-engphon-base
duck-hug-567/xls-r-300m-engphon-base
xls-r-300m-engphon-base is a automatic speech recognition model from duck-hug-567. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Mar 19, 2025
- Updated
- Mar 28, 2025
- SHA
- 1099d58f
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
xls-r-300m-engphon-base
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3769
- Cer: 0.1492
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 3.451 | 1.0 | 672 | 3.0870 | 1.0 |
| 2.7 | 2.0 | 1344 | 2.6840 | 1.0 |
| 2.3201 | 3.0 | 2016 | 2.3206 | 0.9491 |
| 2.191 | 4.0 | 2688 | 2.0507 | 0.9347 |
| 1.7364 | 5.0 | 3360 | 1.2831 | 0.6323 |
| 1.372 | 6.0 | 4032 | 0.8211 | 0.2372 |
| 1.193 | 7.0 | 4704 | 0.6767 | 0.1889 |
| 1.1232 | 8.0 | 5376 | 0.5950 | 0.1746 |
| 1.0251 | 9.0 | 6048 | 0.5333 | 0.1697 |
| 1.0245 | 10.0 | 6720 | 0.4998 | 0.1665 |
| 0.9766 | 11.0 | 7392 | 0.4926 | 0.1651 |
| 0.9366 | 12.0 | 8064 | 0.4714 | 0.1602 |
| 0.9169 | 13.0 | 8736 | 0.4420 | 0.1557 |
| 0.8847 | 14.0 | 9408 | 0.4339 | 0.1585 |
| 0.8566 | 15.0 | 10080 | 0.4267 | 0.1565 |
| 0.8517 | 16.0 | 10752 | 0.4202 | 0.1528 |
| 0.8177 | 17.0 | 11424 | 0.4153 | 0.1529 |
| 0.8142 | 18.0 | 12096 | 0.4039 | 0.1532 |
| 0.817 | 19.0 | 12768 | 0.3959 | 0.1524 |
| 0.7499 | 20.0 | 13440 | 0.3948 | 0.1526 |
| 0.7748 | 21.0 | 14112 | 0.3902 | 0.1506 |
| 0.792 | 22.0 | 14784 | 0.3869 | 0.1515 |
| 0.7698 | 23.0 | 15456 | 0.3844 | 0.1535 |
| 0.7498 | 24.0 | 16128 | 0.3791 | 0.1498 |
| 0.7694 | 25.0 | 16800 | 0.3768 | 0.1508 |
| 0.7523 | 26.0 | 17472 | 0.3784 | 0.1481 |
| 0.7342 | 27.0 | 18144 | 0.3776 | 0.1469 |
| 0.7581 | 28.0 | 18816 | 0.3779 | 0.1487 |
| 0.7135 | 29.0 | 19488 | 0.3773 | 0.1490 |
| 0.7198 | 30.0 | 20160 | 0.3769 | 0.1492 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Mar 19, 2025
- Updated
- Mar 28, 2025