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whisper-tiny-silvar
Hanhpt23/whisper-tiny-silvar
whisper-tiny-silvar is a machine learning model from Hanhpt23. 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
- Oct 1, 2024
- Updated
- Oct 1, 2024
- SHA
- 350be02d
Base models
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. -->
Hanhpt23/whisper-tiny-slisa
This model is a fine-tuned version of Hanhpt23/whisper-tiny-slisa on the Hanhpt23/Silvar dataset. It achieves the following results on the evaluation set:
- Loss: 0.1569
- Wer: 5.4567
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: 0.0001
- train_batch_size: 8
- 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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0875 | 1.0 | 113 | 0.0998 | 3.5843 |
| 0.0458 | 2.0 | 226 | 0.1395 | 5.3098 |
| 0.0142 | 3.0 | 339 | 0.1570 | 6.6358 |
| 0.0182 | 4.0 | 452 | 0.1750 | 6.5465 |
| 0.0213 | 5.0 | 565 | 0.1586 | 6.1090 |
| 0.0027 | 6.0 | 678 | 0.1691 | 5.8729 |
| 0.0006 | 7.0 | 791 | 0.1623 | 5.7367 |
| 0.0004 | 8.0 | 904 | 0.1578 | 5.1751 |
| 0.0003 | 9.0 | 1017 | 0.1570 | 5.4733 |
| 0.0002 | 10.0 | 1130 | 0.1569 | 5.4567 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Oct 1, 2024
- Updated
- Oct 1, 2024