--- language: - ko license: apache-2.0 base_model: openai/whisper-base tags: - hf-asr-leaderboard - generated_from_trainer datasets: - DragonLine/ksponspeech_03 model-index: - name: train03 results: [] --- # train03 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the ksponspeech_03 dataset. It achieves the following results on the evaluation set: - Loss: 0.4521 - Cer: 14.7492 ## 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: 128 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Cer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 0.7999 | 0.13 | 100 | 0.6914 | 20.0296 | | 0.5632 | 0.26 | 200 | 0.5602 | 16.9970 | | 0.5309 | 0.39 | 300 | 0.5195 | 15.8134 | | 0.4961 | 0.52 | 400 | 0.4940 | 15.6669 | | 0.4865 | 0.65 | 500 | 0.4764 | 15.1768 | | 0.4688 | 0.77 | 600 | 0.4607 | 14.9871 | | 0.4357 | 0.9 | 700 | 0.4521 | 14.7492 | ### Framework versions - Transformers 4.36.0.dev0 - Pytorch 1.13.1+cu117 - Datasets 2.15.0 - Tokenizers 0.15.0