Whisper Small L2 Arctic Mdd
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set: Loss: 0.2566 Per: 0.1270 Precision: 1.0 Recall: 1.0 F1: 1.0
Source du modèle
- Type
- Text model
- Taille du fichier
- 922 MB
- Modèle de base
- openai/whisper-small
- Version
- vmodel
- Mis à jour
- 26 oct. 2026
- Téléchargements
- 9
- Source
- Hugging Face
Description de la source
whisper-small-l2-arctic-mdd
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2566
- Per: 0.1270
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
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: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Per | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 4.0160 | 1.0 | 281 | 0.8301 | 0.2877 | 1.0 | 1.0 | 1.0 |
| 1.8723 | 2.0 | 562 | 0.4383 | 0.1935 | 1.0 | 1.0 | 1.0 |
| 1.3767 | 3.0 | 843 | 0.3416 | 0.1548 | 1.0 | 1.0 | 1.0 |
| 0.9900 | 4.0 | 1124 | 0.2805 | 0.1380 | 1.0 | 1.0 | 1.0 |
| 0.6225 | 5.0 | 1405 | 0.2566 | 0.1270 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
Sources
1 source
Sources
1 sourceVérifié 26 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactExtraits de sources
3 extraits
Extraits de sources
3 extraits--- library_name: transformers license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer metrics: - precision - recall - f1 model-index: - name: whisper-small-l2-arctic-mdd results: [] --- <!-- 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-l2-arctic-mdd This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2566 - Per: 0.1270 - Precision: 1.0 - Recall: 1.0 - F1: 1.0 ## 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: 16 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Per | Precision | Recall | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:---:| | 4.0160 | 1.0 | 281 | 0.8301 | 0.2877 | 1.0 | 1.0 | 1.0 | | 1.8723 | 2.0 | 562 | 0.4383 | 0.1935 | 1.0 | 1.0 | 1.0 | | 1.3767 | 3.0 | 843 | 0.3416 | 0.1548 | 1.0 | 1.0 | 1.0 | | 0.9900 | 4.0 | 1124 | 0.2805 | 0.1380 | 1.0 | 1.0 | 1.0 | | 0.6225 | 5.0 | 1405 | 0.2566 | 0.1270 | 1.0 | 1.0 | 1.0 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 5.0.0 - Tokenizers 0.22.2
Source context: 9 downloads · 1 likes · Pipeline automatic-speech-recognition · Library transformers · Repo waelhasan/whisper-small-l2-arctic-mdd
Source context: 178 downloads · 1 likes · Pipeline automatic-speech-recognition · Library transformers · Repo waelhasan/whisper-small-l2-arctic-mdd
