--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: Fine_tune_whisper_small results: [] --- # Fine_tune_whisper_small 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: 0.8238 - Wer: 42.9362 ## 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: 200 - training_steps: 900 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 0.2994 | 3.92 | 200 | 0.6607 | 44.0797 | | 0.0201 | 7.84 | 400 | 0.7371 | 42.6042 | | 0.002 | 11.76 | 600 | 0.8027 | 42.5304 | | 0.0011 | 15.69 | 800 | 0.8238 | 42.9362 | ### Framework versions - Transformers 4.25.0.dev0 - Pytorch 1.12.1+cu113 - Datasets 2.7.1 - Tokenizers 0.13.2