--- base_model: openai/whisper-small library_name: peft license: apache-2.0 tags: - generated_from_trainer model-index: - name: whisper_1908 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # whisper_1908 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: 0.6217 ## 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: 0.0001 - train_batch_size: 8 - 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: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 4.2051 | 1.0 | 9 | 3.9683 | | 3.3557 | 2.0 | 18 | 3.3184 | | 2.6936 | 3.0 | 27 | 2.6472 | | 1.8713 | 4.0 | 36 | 1.8930 | | 1.2406 | 5.0 | 45 | 0.9416 | | 1.4966 | 6.0 | 54 | 0.8827 | | 0.6747 | 7.0 | 63 | 0.7407 | | 0.6202 | 8.0 | 72 | 0.6670 | | 0.5733 | 9.0 | 81 | 0.6357 | | 0.5327 | 10.0 | 90 | 0.6217 | ### Framework versions - PEFT 0.12.0 - Transformers 4.42.4 - Pytorch 2.3.1+cu121 - Datasets 2.21.0 - Tokenizers 0.19.1