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distil_noisy_teacher_clean_student_data_libri
rohitp1/distil_noisy_teacher_clean_student_data_libri
distil_noisy_teacher_clean_student_data_libri is a automatic speech recognition model from rohitp1. 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
- Feb 12, 2023
- Updated
- Feb 19, 2023
- SHA
- 51d40513
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. -->
distil_noisy_teacher_clean_student_data_libri
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 153.4607
- Wer: 0.8504
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 256
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 916.9673 | 90.9 | 1000 | 153.4607 | 0.8504 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.13.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- Feb 12, 2023
- Updated
- Feb 19, 2023