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whisper-base-ea_5hrsd
Setosm/whisper-base-ea_5hrsd
whisper-base-ea_5hrsd is a automatic speech recognition model from Setosm. 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
- May 19, 2025
- Updated
- May 19, 2025
- SHA
- 9bf876d6
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-ea_5hr
This model is a fine-tuned version of openai/whisper-base on the Afrispeech-200 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7154
- Wer Ortho: 0.2898
- Wer: 0.2319
- Cer: 0.1088
- Precision: 0.8599
- Recall: 0.8590
- F1: 0.8585
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: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | Cer | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|---|---|
| 0.9173 | 0.2364 | 100 | 0.9484 | 0.3210 | 0.2633 | 0.1182 | 0.8389 | 0.8419 | 0.8398 |
| 0.8464 | 0.4728 | 200 | 0.8059 | 0.2924 | 0.2312 | 0.1026 | 0.8519 | 0.8523 | 0.8515 |
| 0.7615 | 0.7092 | 300 | 0.7548 | 0.2925 | 0.2340 | 0.1048 | 0.8557 | 0.8556 | 0.8550 |
| 0.7301 | 0.9456 | 400 | 0.7282 | 0.2877 | 0.2288 | 0.1030 | 0.8603 | 0.8613 | 0.8602 |
| 0.5936 | 1.1820 | 500 | 0.7154 | 0.2898 | 0.2319 | 0.1088 | 0.8599 | 0.8590 | 0.8585 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- May 19, 2025
- Updated
- May 19, 2025