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whisper-small-en
santhosh643/whisper-small-en
whisper-small-en is a machine learning model from santhosh643. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Aug 7, 2024
- Updated
- Aug 16, 2024
- SHA
- 80d5a833
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. -->
whisper_fine_tune_Nataraj
This model is a fine-tuned version of openai/whisper-small on the Medical Speech, Transcription, and Intent dataset. It achieves the following results on the evaluation set:
- Loss: 0.1956
- Wer: 12.6737
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: 100
- training_steps: 600
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5559 | 0.2825 | 100 | 0.5252 | 15.9811 |
| 0.1575 | 0.5650 | 200 | 0.2096 | 11.5990 |
| 0.1228 | 0.8475 | 300 | 0.2005 | 11.1729 |
| 0.0528 | 1.1299 | 400 | 0.1967 | 11.6732 |
| 0.0402 | 1.4124 | 500 | 0.1960 | 12.3680 |
| 0.0583 | 1.6949 | 600 | 0.1956 | 12.6737 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Aug 7, 2024
- Updated
- Aug 16, 2024