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whisper-small-eg
abuelnasr/whisper-small-eg
whisper-small-eg is a automatic speech recognition model from abuelnasr. 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
- Aug 15, 2024
- Updated
- Sep 4, 2024
- SHA
- a10bc973
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 Small Egyptian Arabic - Mohamed Abu El-Nasr
This model is a fine-tuned version of arbml/whisper-small-ar on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5173
- Wer: 37.0920
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: 5e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 150
- training_steps: 1920
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.0487 | 0.2510 | 60 | 1.6404 | 72.8783 |
| 1.1414 | 0.5021 | 120 | 1.0603 | 73.3333 |
| 0.8749 | 0.7531 | 180 | 0.8653 | 64.1543 |
| 0.7374 | 1.0042 | 240 | 0.6885 | 53.0366 |
| 0.5152 | 1.2552 | 300 | 0.5685 | 49.6142 |
| 0.4816 | 1.5063 | 360 | 0.5440 | 58.4965 |
| 0.4465 | 1.7573 | 420 | 0.5249 | 62.1563 |
| 0.4399 | 2.0084 | 480 | 0.5115 | 67.2404 |
| 0.3324 | 2.2594 | 540 | 0.5136 | 54.7774 |
| 0.3366 | 2.5105 | 600 | 0.5054 | 49.0010 |
| 0.3232 | 2.7615 | 660 | 0.4949 | 42.5717 |
| 0.3374 | 3.0126 | 720 | 0.4878 | 43.4817 |
| 0.2295 | 3.2636 | 780 | 0.4930 | 46.7062 |
| 0.2479 | 3.5146 | 840 | 0.4895 | 41.6617 |
| 0.2419 | 3.7657 | 900 | 0.4896 | 46.3699 |
| 0.2373 | 4.0167 | 960 | 0.4873 | 39.5846 |
| 0.1887 | 4.2678 | 1020 | 0.4961 | 37.0920 |
| 0.2069 | 4.5188 | 1080 | 0.4944 | 43.1652 |
| 0.1904 | 4.7699 | 1140 | 0.4954 | 39.9209 |
| 0.1856 | 5.0209 | 1200 | 0.4942 | 39.4857 |
| 0.1404 | 5.2720 | 1260 | 0.5025 | 45.1434 |
| 0.1706 | 5.5230 | 1320 | 0.5023 | 40.1978 |
| 0.1485 | 5.7741 | 1380 | 0.5034 | 40.6924 |
| 0.1568 | 6.0251 | 1440 | 0.5051 | 45.3412 |
| 0.1112 | 6.2762 | 1500 | 0.5109 | 44.9456 |
| 0.1311 | 6.5272 | 1560 | 0.5112 | 43.6400 |
| 0.1097 | 6.7782 | 1620 | 0.5129 | 46.5282 |
| 0.1333 | 7.0293 | 1680 | 0.5129 | 42.9080 |
| 0.1153 | 7.2803 | 1740 | 0.5167 | 43.1058 |
| 0.1059 | 7.5314 | 1800 | 0.5171 | 43.9763 |
| 0.116 | 7.7824 | 1860 | 0.5168 | 43.8773 |
| 0.1133 | 8.0335 | 1920 | 0.5173 | 42.4926 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ar
- Created
- Aug 15, 2024
- Updated
- Sep 4, 2024