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sereer-omp
taiyintaiyang/sereer-omp
sereer-omp is a automatic speech recognition model from taiyintaiyang. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024
- SHA
- d955ae1f
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. -->
sereer-omp
This model is a fine-tuned version of patrickvonplaten/wav2vec2-base-timit-demo on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 2.9097
- Cer: 0.9946
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: 7
- 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: 4
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 3.8012 | 4.0 | 4 | 3.4396 | 0.9191 |
| 3.1791 | 8.0 | 8 | 3.1790 | 0.9946 |
| 2.8864 | 12.0 | 12 | 3.1554 | 0.9946 |
| 2.7819 | 16.0 | 16 | 2.9383 | 0.9946 |
| 2.7258 | 20.0 | 20 | 2.9097 | 0.9946 |
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
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024