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ft_wav2vec2_base_six_500
ImanNalia/ft_wav2vec2_base_six_500
ft_wav2vec2_base_six_500 is a automatic speech recognition model from ImanNalia. 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 16, 2024
- Updated
- Apr 16, 2024
- SHA
- 504eccba
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. -->
ft_wav2vec2_base_six_500
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2609
- Wer: 45.1739
- Cer: 21.0426
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 4.3484 | 11.36 | 500 | 2.9679 | 98.7617 | 98.9968 |
| 2.4169 | 22.73 | 1000 | 1.2648 | 64.7328 | 28.2059 |
| 0.6152 | 34.09 | 1500 | 1.1641 | 47.3113 | 21.7501 |
| 0.2786 | 45.45 | 2000 | 1.2609 | 45.1739 | 21.0426 |
Framework versions
- Transformers 4.39.3
- Pytorch 1.12.1+cu116
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Apr 16, 2024
- Updated
- Apr 16, 2024