--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: Fined_Tuned_Whisper_Model results: [] --- # Fined_Tuned_Whisper_Model This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.9338 - Wer: 143.7516 ## 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: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 50 - training_steps: 400 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.5976 | 1.59 | 100 | 0.9443 | 143.7516 | | 0.3549 | 3.17 | 200 | 0.9114 | 158.2756 | | 0.2134 | 4.76 | 300 | 0.9270 | 134.3341 | | 0.1631 | 6.35 | 400 | 0.9338 | 143.7516 | ### Framework versions - Transformers 4.27.0.dev0 - Pytorch 1.13.1+cu116 - Datasets 2.10.1 - Tokenizers 0.13.2