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base-asr-with-tpbs-cv4
krirk/base-asr-with-tpbs-cv4
base-asr-with-tpbs-cv4 is a automatic speech recognition model from krirk. 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
- Apr 5, 2023
- Updated
- Apr 5, 2023
- SHA
- 19f3a08a
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. -->
base-asr-with-tpbs-cv4
This model is a fine-tuned version of Botnoi/base-asr-with-lm on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5538
- Wer: 0.2576
- Cer: 0.0695
- Clean Cer: 0.0599
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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Clean Cer |
|---|---|---|---|---|---|---|
| 0.1306 | 26.67 | 400 | 0.4897 | 0.2766 | 0.0733 | 0.0642 |
| 0.0437 | 53.33 | 800 | 0.4923 | 0.2566 | 0.0685 | 0.0596 |
| 0.0293 | 80.0 | 1200 | 0.5538 | 0.2576 | 0.0695 | 0.0599 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- Apr 5, 2023
- Updated
- Apr 5, 2023