1.5 KiB
1.5 KiB
library_name, license, base_model, tags, metrics, model-index
| library_name | license | base_model | tags | metrics | model-index | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | apache-2.0 | Baraa123R/whisper-finetuned-Tunisian |
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whisper-finetuned-TheArabMaghreb2
This model is a fine-tuned version of Baraa123R/whisper-finetuned-Tunisian on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3892
- Wer: 95.2957
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 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.0