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whisper-fine-tuning_learn
Jamin20/whisper-fine-tuning_learn
whisper-fine-tuning_learn is a automatic speech recognition model from Jamin20. 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
- whisper
- Access
- Public
- Created
- Apr 13, 2023
- Updated
- Apr 15, 2023
- SHA
- 916b304a
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. -->
whisper-fine-tuned-de_learn
This model is a fine-tuned version of whisper-fine-tuned-de_arg_new on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4825
- Wer: 19.7968
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1169 | 1.6 | 1000 | 0.4126 | 20.2477 |
| 0.0132 | 3.2 | 2000 | 0.4562 | 20.4304 |
| 0.0053 | 4.8 | 3000 | 0.4647 | 20.0480 |
| 0.0016 | 6.4 | 4000 | 0.4775 | 19.8082 |
| 0.0011 | 8.0 | 5000 | 0.4825 | 19.7968 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Languages
- de
- Created
- Apr 13, 2023
- Updated
- Apr 15, 2023