--- license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - google/fleurs metrics: - wer model-index: - name: Whisper medium Croatian El Greco results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: google/fleurs hr_hr type: google/fleurs config: zu split: None metrics: - name: Wer type: wer value: 14.613261224719734 --- # Whisper medium Croatian El Greco This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the google/fleurs hr_hr dataset. It achieves the following results on the evaluation set: - Loss: 0.3374 - Wer: 14.6133 ## 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: 3e-06 - train_batch_size: 32 - eval_batch_size: 16 - seed: 42 - distributed_type: multi-GPU - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - training_steps: 1000 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 0.0106 | 4.61 | 1000 | 0.3374 | 14.6133 | ### Framework versions - Transformers 4.26.0.dev0 - Pytorch 2.0.0.dev20221216+cu116 - Datasets 2.7.1.dev0 - Tokenizers 0.13.2