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Marathi_ASR_using_xlsr_wav2vec
PolyChirag/Marathi_ASR_using_xlsr_wav2vec
Marathi_ASR_using_xlsr_wav2vec is a automatic speech recognition model from PolyChirag. 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
- Apr 21, 2024
- Updated
- Apr 28, 2024
- SHA
- 2ad75d33
Base models
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. -->
Marathi_ASR_using_xlsr_wav2vec
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7582
- Wer: 0.7181
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: 1e-05
- train_batch_size: 16
- 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: 300
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 2.6667 | 200 | 0.7381 | 0.7263 |
| 0.336 | 5.3333 | 400 | 0.7472 | 0.7289 |
| 0.336 | 8.0 | 600 | 0.7452 | 0.7215 |
| 0.3237 | 10.6667 | 800 | 0.7449 | 0.7212 |
| 0.3237 | 13.3333 | 1000 | 0.7546 | 0.7192 |
| 0.3104 | 16.0 | 1200 | 0.7565 | 0.7210 |
| 0.3104 | 18.6667 | 1400 | 0.7550 | 0.7193 |
| 0.3089 | 21.3333 | 1600 | 0.7551 | 0.7186 |
| 0.3089 | 24.0 | 1800 | 0.7572 | 0.7185 |
| 0.2993 | 26.6667 | 2000 | 0.7571 | 0.7175 |
| 0.2993 | 29.3333 | 2200 | 0.7582 | 0.7181 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Apr 21, 2024
- Updated
- Apr 28, 2024