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wav2vec2-large-xlsr-tutorial-pt-br-5.0
aryamtos/wav2vec2-large-xlsr-tutorial-pt-br-5.0
wav2vec2-large-xlsr-tutorial-pt-br-5.0 is a automatic speech recognition model from aryamtos. 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 25, 2024
- Updated
- Sep 25, 2024
- SHA
- 14cd7e0d
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. -->
wav2vec2-large-xlsr-tutorial-pt-br-5.0
This model is a fine-tuned version of lgris/bp400-xlsr on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6661
- Wer: 0.7539
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.0104 | 6.3492 | 200 | 1.2945 | 0.9866 |
| 0.7801 | 12.6984 | 400 | 0.6661 | 0.7539 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1.dev0
- Tokenizers 0.20.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Sep 25, 2024
- Updated
- Sep 25, 2024