--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: whisper-medium-amksim results: [] --- # whisper-medium-amksim This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.9089 - Wer: 40.3433 ## 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: 1 - eval_batch_size: 1 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 2 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 5 - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 4.6349 | 0.83 | 5 | 3.7729 | 73.3906 | | 3.2338 | 1.67 | 10 | 1.4978 | 69.0987 | | 1.1335 | 2.5 | 15 | 1.1606 | 97.4249 | | 0.6838 | 3.33 | 20 | 1.0211 | 66.0944 | | 0.4383 | 4.17 | 25 | 0.9845 | 65.2361 | | 0.2514 | 5.0 | 30 | 0.9885 | 61.3734 | | 0.2053 | 5.83 | 35 | 0.9796 | 76.3948 | | 0.1353 | 6.67 | 40 | 0.9758 | 49.3562 | | 0.1142 | 7.5 | 45 | 0.9109 | 60.9442 | | 0.0889 | 8.33 | 50 | 0.9045 | 41.2017 | | 0.0854 | 9.17 | 55 | 0.9085 | 42.4893 | | 0.069 | 10.0 | 60 | 0.9089 | 40.3433 | ### Framework versions - Transformers 4.24.0.dev0 - Pytorch 1.13.0 - Datasets 2.6.1 - Tokenizers 0.12.1