wav2vec2-large-xls-r-300m-azeri-colab-main
This model is a fine-tuned version of menhior/wav2vec2-large-xls-r-300m-turkish-colab-full on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.5709 - Wer: 0.2893 The following hyperparameters were used during training: - learning_rate: 8e-05 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 40
번역 준비 중입니다. 원문을 표시합니다.
This model is a fine-tuned version of menhior/wav2vec2-large-xls-r-300m-turkish-colab-full on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.5709 - Wer: 0.2893 The following hyperparameters were used during training: - learning_rate: 8e-05 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 40
AI가 움직이고 미래가 업데이트됩니다.