--- license: apache-2.0 base_model: bayartsogt/whisper-small-mn-8 tags: - generated_from_trainer datasets: - common_voice_11_0 model-index: - name: whisper-small-mongolian results: [] --- # whisper-small-mongolian This model is a fine-tuned version of [bayartsogt/whisper-small-mn-8](https://huggingface.co/bayartsogt/whisper-small-mn-8) on the common_voice_11_0 dataset. It achieves the following results on the evaluation set: - eval_loss: 0.0255 - eval_wer: 3.9864 - eval_runtime: 1588.8988 - eval_samples_per_second: 1.17 - eval_steps_per_second: 0.147 - epoch: 2.3112 - step: 1500 ## 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: 16 - 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: 1000 - training_steps: 3000 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.40.1 - Pytorch 2.2.1+cu121 - Datasets 2.19.0 - Tokenizers 0.19.1