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whisper-finetuned-small
idaracecilia/whisper-finetuned-small
whisper-finetuned-small is a machine learning model from idaracecilia. 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 13, 2024
- Updated
- Aug 13, 2024
- SHA
- bcabb5a1
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 tuned Small
This model is a fine-tuned version of openai/whisper-small on the Fyp Dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.1965
- Wer: 11.2724
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: 2
- training_steps: 102
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1398 | 0.4 | 20 | 0.2211 | 13.1623 |
| 0.0941 | 0.8 | 40 | 0.2144 | 11.8124 |
| 0.048 | 1.2 | 60 | 0.1997 | 11.2386 |
| 0.0481 | 1.6 | 80 | 0.1979 | 11.3736 |
| 0.0337 | 2.0 | 100 | 0.1965 | 11.2724 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Languages
- eng
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024