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xls-r_cv_ur
hadiqa123/xls-r_cv_ur
xls-r_cv_ur is a automatic speech recognition model from hadiqa123. 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
- Sep 22, 2022
- Updated
- Jul 29, 2023
- SHA
- ac29208b
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_cv_ur
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: 0.4888
- Wer: 1.0
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: 8
- 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: 100
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 8.4361 | 1.14 | 100 | 2.3733 | 1.0 |
| 1.9609 | 2.27 | 200 | 1.8280 | 1.0 |
| 1.8191 | 3.41 | 300 | 1.8259 | 1.0 |
| 1.8359 | 4.55 | 400 | 1.8069 | 1.0 |
| 1.7667 | 5.68 | 500 | 1.8038 | 1.0 |
| 1.7751 | 6.82 | 600 | 1.7473 | 1.0 |
| 1.7428 | 7.95 | 700 | 1.6996 | 1.0 |
| 1.697 | 9.09 | 800 | 1.6364 | 1.0 |
| 1.6532 | 10.23 | 900 | 1.4985 | 1.0 |
| 1.5217 | 11.36 | 1000 | 1.2836 | 1.0 |
| 1.3385 | 12.5 | 1100 | 1.0293 | 1.0 |
| 1.1596 | 13.64 | 1200 | 0.8294 | 1.0 |
| 1.0655 | 14.77 | 1300 | 0.7150 | 1.0 |
| 0.9951 | 15.91 | 1400 | 0.6364 | 1.0 |
| 0.9013 | 17.05 | 1500 | 0.5548 | 1.0 |
| 0.8276 | 18.18 | 1600 | 0.5200 | 1.0 |
| 0.8129 | 19.32 | 1700 | 0.4888 | 1.0 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.11.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Sep 22, 2022
- Updated
- Jul 29, 2023