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whisper-small-hi
jmcastelo17/whisper-small-hi
whisper-small-hi is a automatic speech recognition model from jmcastelo17. 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
- Apr 4, 2024
- Updated
- Apr 10, 2024
- SHA
- b7e983cf
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 Small FIFA_commentary
This model is a fine-tuned version of openai/whisper-small on the FIFA_commentary dataset. It achieves the following results on the evaluation set:
- Loss: 1.3163
- Wer: 24.2812
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: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.3488 | 1.0 | 12 | 4.7962 | 46.0064 |
| 4.6557 | 2.0 | 24 | 3.5938 | 38.9776 |
| 3.5187 | 3.0 | 36 | 2.0149 | 30.6709 |
| 2.2038 | 4.0 | 48 | 1.4935 | 30.0319 |
| 1.0546 | 5.0 | 60 | 1.3163 | 24.2812 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Apr 4, 2024
- Updated
- Apr 10, 2024