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Whisper-base-Jibbali_lang
nrshoudi/Whisper-base-Jibbali_lang
Whisper-base-Jibbali_lang 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Feb 18, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Feb 18, 2024
- Updated
- Feb 18, 2024
- SHA
- 5bb94416
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-Jibbali_lang
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: 0.0135
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 |
|---|---|---|---|
| 0.0241 | 1.0 | 300 | 0.0319 |
| 0.005 | 2.0 | 600 | 0.0193 |
| 0.002 | 3.0 | 900 | 0.0180 |
| 0.005 | 4.0 | 1200 | 0.0171 |
| 0.002 | 5.0 | 1500 | 0.0158 |
| 0.003 | 6.0 | 1800 | 0.0142 |
| 0.0026 | 7.0 | 2100 | 0.0144 |
| 0.0021 | 8.0 | 2400 | 0.0132 |
| 0.0034 | 9.0 | 2700 | 0.0135 |
| 0.0002 | 10.0 | 3000 | 0.0135 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- License
- apache-2.0
- Created
- Feb 18, 2024
- Updated
- Feb 18, 2024