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wav2vec2-xls-r-1b-ka
arampacha/wav2vec2-xls-r-1b-ka
wav2vec2-xls-r-1b-ka is a automatic speech recognition model from arampacha. 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 2, 2022
- Updated
- Mar 24, 2022
- SHA
- 8c9615d1
Datasets
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. -->
wav2vec2-xls-r-1b-ka
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the /WORKSPACE/DATA/KA/NOIZY_STUDENT_2/ - KA dataset. It achieves the following results on the evaluation set:
- Loss: 0.1022
- Wer: 0.1527
- Cer: 0.0221
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: 7e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.2839 | 6.45 | 400 | 0.2229 | 0.3609 | 0.0557 |
| 0.9775 | 12.9 | 800 | 0.1271 | 0.2202 | 0.0317 |
| 0.9045 | 19.35 | 1200 | 0.1268 | 0.2030 | 0.0294 |
| 0.8652 | 25.8 | 1600 | 0.1211 | 0.1940 | 0.0287 |
| 0.8505 | 32.26 | 2000 | 0.1192 | 0.1912 | 0.0276 |
| 0.8168 | 38.7 | 2400 | 0.1086 | 0.1763 | 0.0260 |
| 0.7737 | 45.16 | 2800 | 0.1098 | 0.1753 | 0.0256 |
| 0.744 | 51.61 | 3200 | 0.1054 | 0.1646 | 0.0239 |
| 0.7114 | 58.06 | 3600 | 0.1034 | 0.1573 | 0.0228 |
| 0.6773 | 64.51 | 4000 | 0.1022 | 0.1527 | 0.0221 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2
- Datasets 1.18.4.dev0
- Tokenizers 0.11.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Languages
- ka
- Created
- Mar 2, 2022
- Updated
- Mar 24, 2022