--- base_model: charsiu/zh_w2v2_tiny_fc_10ms tags: - generated_from_trainer model-index: - name: wav2vec2_tiny_ja_roman results: [] --- # wav2vec2_tiny_ja_roman This model is a fine-tuned version of [charsiu/zh_w2v2_tiny_fc_10ms](https://huggingface.co/charsiu/zh_w2v2_tiny_fc_10ms) on the None dataset. It achieves the following results on the evaluation set: - eval_loss: 0.0716 - eval_wer: 0.5521 - eval_runtime: 26.495 - eval_samples_per_second: 9.436 - eval_steps_per_second: 1.208 - epoch: 30.0 - step: 4455 ## 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: 0.0001 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - 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: 742 - num_epochs: 50 ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1