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Whisper-base-Ar-MDD
nrshoudi/Whisper-base-Ar-MDD
Whisper-base-Ar-MDD is a machine learning model from nrshoudi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024
- SHA
- 6b8898f2
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-base-Ar-MDD
This model is a fine-tuned version of openai/whisper-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2159
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: 0.001
- train_batch_size: 6
- eval_batch_size: 6
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0684 | 1.0 | 546 | 0.2054 |
| 0.0321 | 2.0 | 1092 | 0.2022 |
| 0.0345 | 3.0 | 1638 | 0.1919 |
| 0.0176 | 4.0 | 2184 | 0.1864 |
| 0.0303 | 5.0 | 2730 | 0.1919 |
| 0.0182 | 6.0 | 3276 | 0.1999 |
| 0.0083 | 7.0 | 3822 | 0.2039 |
| 0.008 | 8.0 | 4368 | 0.2056 |
| 0.0028 | 9.0 | 4914 | 0.2153 |
| 0.0022 | 10.0 | 5460 | 0.2159 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024