--- library_name: transformers language: - spa license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer metrics: - wer model-index: - name: Whisper Small Few Audios - vfranchis results: [] --- # Whisper Small Few Audios - vfranchis This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Few audios 1.0 dataset. It achieves the following results on the evaluation set: - Loss: 1.6364 - Wer: 66.6667 ## 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: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 10 - training_steps: 100 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-------:|:----:|:---------------:|:-------:| | 0.6824 | 2.8571 | 10 | 1.6364 | 66.6667 | | 4.2687 | 5.7143 | 20 | 1.6364 | 66.6667 | | 2.6441 | 8.5714 | 30 | 1.6364 | 66.6667 | | 1.8789 | 11.4286 | 40 | 1.6364 | 66.6667 | | 1.3406 | 14.2857 | 50 | 1.6364 | 66.6667 | | 0.8864 | 17.1429 | 60 | 1.6364 | 66.6667 | | 1.0665 | 20.0 | 70 | 1.6364 | 66.6667 | | 0.5324 | 22.8571 | 80 | 1.6364 | 66.6667 | | 4.0741 | 25.7143 | 90 | 1.6364 | 66.6667 | | 2.8755 | 28.5714 | 100 | 1.6364 | 66.6667 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.3.1+cu121 - Datasets 2.21.0 - Tokenizers 0.19.1