--- license: apache-2.0 library_name: peft tags: - generated_from_trainer base_model: openai/whisper-tiny model-index: - name: Modelo_1_Whisper_Tiny results: [] --- # Modelo_1_Whisper_Tiny 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: 1.0080 ## 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: 0.001 - 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 - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.5435 | 1.0 | 121 | 1.4045 | | 1.0395 | 2.0 | 242 | 1.1484 | | 0.7843 | 3.0 | 363 | 1.0529 | | 0.6772 | 4.0 | 484 | 1.0191 | | 0.5662 | 5.0 | 605 | 1.0080 | ### Framework versions - PEFT 0.7.1 - Transformers 4.36.2 - Pytorch 2.1.0+cu118 - Datasets 2.16.1 - Tokenizers 0.15.2