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whisper-med-LoRA_r256_a512
adityarra07/whisper-med-LoRA_r256_a512
whisper-med-LoRA_r256_a512 is a machine learning model from adityarra07. 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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Updated May 27, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 26, 2024
- Updated
- May 27, 2024
- SHA
- 8af6786d
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. -->
whisper-med-LoRA_r256_a512
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1651
- Wer: 8.1980
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4485 | 1.0 | 2801 | 0.2746 | 12.6314 |
| 0.2029 | 2.0 | 5602 | 0.2104 | 9.9943 |
| 0.1503 | 3.0 | 8403 | 0.1869 | 9.2299 |
| 0.119 | 4.0 | 11204 | 0.1729 | 8.5993 |
| 0.0997 | 5.0 | 14005 | 0.1651 | 8.1980 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- License
- apache-2.0
- Created
- May 26, 2024
- Updated
- May 27, 2024