--- language: - fa license: apache-2.0 base_model: makhataei/Whisper-Small-Common-Voice tags: - fa-asr - generated_from_trainer metrics: - wer model-index: - name: Whisper Small Persian results: [] --- # Whisper Small Persian This model is a fine-tuned version of [makhataei/Whisper-Small-Common-Voice](https://huggingface.co/makhataei/Whisper-Small-Common-Voice) on the Ctejarat dataset. It achieves the following results on the evaluation set: - Loss: 0.5782 - Wer: 36.9283 ## 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-06 - train_batch_size: 10 - eval_batch_size: 10 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 80 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 5 - training_steps: 100 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 0.904 | 0.96 | 10 | 0.8973 | 46.7577 | | 0.7728 | 1.93 | 20 | 0.7814 | 42.3208 | | 0.6586 | 2.89 | 30 | 0.7098 | 40.3413 | | 0.586 | 3.86 | 40 | 0.6623 | 39.5904 | | 0.5336 | 4.82 | 50 | 0.6310 | 38.9078 | | 0.512 | 5.78 | 60 | 0.6091 | 37.6792 | | 0.4732 | 6.75 | 70 | 0.5945 | 37.6792 | | 0.4367 | 7.71 | 80 | 0.5851 | 37.2696 | | 0.4282 | 8.67 | 90 | 0.5800 | 37.0648 | | 0.4398 | 9.64 | 100 | 0.5782 | 36.9283 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.0.1+cu117 - Datasets 2.15.0 - Tokenizers 0.15.0