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whisper-base-en-early-stopping
Youssef1234/whisper-base-en-early-stopping
whisper-base-en-early-stopping is a automatic speech recognition model from Youssef1234. 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
- whisper
- Access
- Public
- Created
- Mar 16, 2024
- Updated
- Mar 21, 2024
- SHA
- 23a41567
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-base-en-early-stopping
This model is a fine-tuned version of Youssef1234/whisper-base-en-early-stopping on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3698
- Wer: 17.4910
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2955 | 1.0 | 188 | 0.3364 | 16.4589 |
| 0.1831 | 2.0 | 376 | 0.3462 | 16.8093 |
| 0.0932 | 3.0 | 564 | 0.3698 | 17.4910 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Mar 16, 2024
- Updated
- Mar 21, 2024