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output_model_shunyalabs_data_base_model_proper_feature_extractor_more
Eimhin03/output_model_shunyalabs_data_base_model_proper_feature_extractor_more
output_model_shunyalabs_data_base_model_proper_feature_extractor_more is a automatic speech recognition model from Eimhin03. 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
- Feb 11, 2026
- Updated
- Feb 11, 2026
- SHA
- 23776790
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. -->
output_model_shunyalabs_data_base_model_proper_feature_extractor_more
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: 0.6676
- Wer: 25.3729
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 4
- 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: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 40000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6306 | 1.9531 | 2500 | 0.8088 | 52.2670 |
| 0.2802 | 3.9062 | 5000 | 0.7200 | 39.6101 |
| 0.0919 | 5.8594 | 7500 | 0.7014 | 41.1018 |
| 0.0711 | 7.8125 | 10000 | 0.7334 | 36.9960 |
| 0.0522 | 9.7656 | 12500 | 0.6971 | 34.1161 |
| 0.0440 | 11.7188 | 15000 | 0.7129 | 32.5949 |
| 0.0159 | 13.6719 | 17500 | 0.7492 | 33.7912 |
| 0.0174 | 15.625 | 20000 | 0.7170 | 31.4577 |
| 0.0093 | 17.5781 | 22500 | 0.7107 | 30.3205 |
| 0.0035 | 19.5312 | 25000 | 0.7096 | 28.4301 |
| 0.0032 | 21.4844 | 27500 | 0.6960 | 28.2824 |
| 0.0004 | 23.4375 | 30000 | 0.6746 | 28.6516 |
| 0.0001 | 25.3906 | 32500 | 0.6863 | 26.5987 |
| 0.0000 | 27.3438 | 35000 | 0.6776 | 26.3624 |
| 0.0000 | 29.2969 | 37500 | 0.6740 | 25.7421 |
| 0.0000 | 31.25 | 40000 | 0.6676 | 25.3729 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Feb 11, 2026
- Updated
- Feb 11, 2026