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l3-whisper-small-l3c3n_e1_v4
mondhs/l3-whisper-small-l3c3n_e1_v4
l3-whisper-small-l3c3n_e1_v4 is a automatic speech recognition model from mondhs. 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
- Sep 10, 2025
- Updated
- Sep 11, 2025
- SHA
- 446b8a7b
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. -->
l3-whisper-small-l3c3n_e1_v4
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3521
- Wer: 28.5190
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3195 | 0.0969 | 3000 | 0.5062 | 37.2976 |
| 0.2551 | 0.1938 | 6000 | 0.4393 | 35.2086 |
| 0.2327 | 0.2907 | 9000 | 0.4074 | 29.3827 |
| 0.2171 | 0.3876 | 12000 | 0.3905 | 29.3637 |
| 0.2114 | 0.4845 | 15000 | 0.3819 | 27.7804 |
| 0.2 | 0.5814 | 18000 | 0.3728 | 31.6371 |
| 0.1943 | 0.6783 | 21000 | 0.3657 | 27.8206 |
| 0.1918 | 0.7751 | 24000 | 0.3608 | 27.6068 |
| 0.1871 | 0.8720 | 27000 | 0.3540 | 29.6109 |
| 0.1865 | 0.9689 | 30000 | 0.3521 | 28.5190 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.2.1
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Sep 10, 2025
- Updated
- Sep 11, 2025