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wav2vec2-burak-new-300-v2
burakyldrm/wav2vec2-burak-new-300-v2
wav2vec2-burak-new-300-v2 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
- Sep 14, 2022
- Updated
- Sep 14, 2022
- SHA
- c0a74331
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-burak-new-300-v2
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.7018
- Wer: 0.3641
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: 0.0003
- train_batch_size: 32
- 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: 500
- num_epochs: 141
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.2967 | 8.62 | 500 | 1.0561 | 0.8351 |
| 0.5199 | 17.24 | 1000 | 0.6019 | 0.5054 |
| 0.2249 | 25.86 | 1500 | 0.6036 | 0.4576 |
| 0.1573 | 34.48 | 2000 | 0.6680 | 0.4532 |
| 0.1301 | 43.1 | 2500 | 0.6823 | 0.4396 |
| 0.1108 | 51.72 | 3000 | 0.6630 | 0.4263 |
| 0.0941 | 60.34 | 3500 | 0.6574 | 0.4226 |
| 0.0797 | 68.97 | 4000 | 0.6796 | 0.4174 |
| 0.0689 | 77.59 | 4500 | 0.6426 | 0.4088 |
| 0.0612 | 86.21 | 5000 | 0.6615 | 0.3949 |
| 0.0528 | 94.83 | 5500 | 0.6769 | 0.3906 |
| 0.0515 | 103.45 | 6000 | 0.6073 | 0.3827 |
| 0.0394 | 112.07 | 6500 | 0.7099 | 0.3767 |
| 0.0352 | 120.69 | 7000 | 0.7082 | 0.3688 |
| 0.0324 | 129.31 | 7500 | 0.6939 | 0.3699 |
| 0.028 | 137.93 | 8000 | 0.7018 | 0.3641 |
Framework versions
- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Sep 14, 2022
- Updated
- Sep 14, 2022