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wav2vec2-Y_
Gummybear05/wav2vec2-Y_
wav2vec2-Y_ is a automatic speech recognition model from Gummybear05. 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 4, 2024
- Updated
- Dec 4, 2024
- SHA
- ff2a699e
Base models
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-Y_
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5842
- Cer: 30.3584
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 37.2038 | 0.1289 | 200 | 5.0616 | 100.0 |
| 5.0402 | 0.2579 | 400 | 4.7466 | 100.0 |
| 4.87 | 0.3868 | 600 | 4.7230 | 100.0 |
| 4.8539 | 0.5158 | 800 | 4.7158 | 100.0 |
| 4.7772 | 0.6447 | 1000 | 4.6757 | 100.0 |
| 4.7606 | 0.7737 | 1200 | 4.6469 | 100.0 |
| 4.7489 | 0.9026 | 1400 | 4.6367 | 100.0 |
| 4.7074 | 1.0316 | 1600 | 4.6402 | 100.0 |
| 4.6732 | 1.1605 | 1800 | 4.5753 | 99.2127 |
| 4.53 | 1.2895 | 2000 | 4.4595 | 98.4665 |
| 4.3522 | 1.4184 | 2200 | 4.2283 | 99.0247 |
| 3.6439 | 1.5474 | 2400 | 3.2941 | 57.8907 |
| 2.8931 | 1.6763 | 2600 | 2.7877 | 51.0987 |
| 2.4895 | 1.8053 | 2800 | 2.4939 | 46.3984 |
| 2.2386 | 1.9342 | 3000 | 2.3376 | 42.0094 |
| 2.012 | 2.0632 | 3200 | 2.1472 | 38.8073 |
| 1.8082 | 2.1921 | 3400 | 1.9733 | 37.4207 |
| 1.6902 | 2.3211 | 3600 | 1.8465 | 34.8825 |
| 1.5764 | 2.4500 | 3800 | 1.7415 | 32.4971 |
| 1.5547 | 2.5790 | 4000 | 1.6877 | 31.8801 |
| 1.472 | 2.7079 | 4200 | 1.6360 | 30.9694 |
| 1.4054 | 2.8369 | 4400 | 1.6052 | 30.6757 |
| 1.3754 | 2.9658 | 4600 | 1.5842 | 30.3584 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024