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wav2vec2-burak-new-300-v2-7
burakyldrm/wav2vec2-burak-new-300-v2-7
wav2vec2-burak-new-300-v2-7 is a automatic speech recognition model from burakyldrm. 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
- Dec 5, 2022
- Updated
- Dec 6, 2022
- SHA
- 8fa1a049
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-burak-new-300-v2-7
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: 0.3394
- Wer: 0.2306
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 151
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.3306 | 9.43 | 500 | 2.8304 | 1.0 |
| 0.9789 | 18.87 | 1000 | 0.3443 | 0.4136 |
| 0.3622 | 28.3 | 1500 | 0.3110 | 0.3235 |
| 0.2535 | 37.74 | 2000 | 0.3166 | 0.3014 |
| 0.1985 | 47.17 | 2500 | 0.3247 | 0.2980 |
| 0.1673 | 56.6 | 3000 | 0.3082 | 0.2608 |
| 0.1435 | 66.04 | 3500 | 0.3155 | 0.2615 |
| 0.1281 | 75.47 | 4000 | 0.3480 | 0.2636 |
| 0.1164 | 84.91 | 4500 | 0.3459 | 0.2560 |
| 0.1055 | 94.34 | 5000 | 0.3330 | 0.2505 |
| 0.0949 | 103.77 | 5500 | 0.3522 | 0.2436 |
| 0.0891 | 113.21 | 6000 | 0.3511 | 0.2381 |
| 0.0814 | 122.64 | 6500 | 0.3365 | 0.2347 |
| 0.0785 | 132.08 | 7000 | 0.3426 | 0.2374 |
| 0.0722 | 141.51 | 7500 | 0.3483 | 0.2312 |
| 0.0704 | 150.94 | 8000 | 0.3394 | 0.2306 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 5, 2022
- Updated
- Dec 6, 2022