Wav2vec2 Base Vi Vlsp2020 Ft ViMD North Phowhisper

--- library_name: transformers base_model: minhvn1433/wav2vec2-base-vi-vlsp2020 tags: - automatic-speech-recognition - minhvn1433/ViMD_north_phowhisper - generated_from_trainer metrics: - wer model-index: - name: wav2vec2-base-vi-vlsp2020-ft-ViMD_north results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # wav2vec2-base-vi-vlsp2020-ft-ViMD_north This model is a fine-tuned version of [minhvn1433/wav2vec2-base-vi-vlsp2020](https://huggingface.co/minhvn1433/wav2vec2-base-vi-vlsp2020) on the MINHVN1433/VIMD_NORTH_PHOWHISPER - NA dataset. It achieves the following results on the evaluation set: - Loss: 0.4188 - Wer: 0.1419 - Cer: 0.0869 ## 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-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500.0 - training_steps: 3000 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |:-------------:|:-------:|:----:|:---------------:|:------:|:------:| | 0.3237 | 2.5773 | 500 | 0.3900 | 0.1451 | 0.0878 | | 0.2938 | 5.1546 | 1000 | 0.4135 | 0.1453 | 0.0877 | | 0.2683 | 7.7320 | 1500 | 0.4108 | 0.1446 | 0.0876 | | 0.2526 | 10.3093 | 2000 | 0.4149 | 0.1440 | 0.0870 | | 0.2469 | 12.8866 | 2500 | 0.4363 | 0.1442 | 0.0882 | | 0.2397 | 15.4639 | 3000 | 0.4188 | 0.1419 | 0.0869 | ### Framework versions - Transformers 5.13.0 - Pytorch 2.11.0+cu128 - Datasets 3.6.0 - Tokenizers 0.22.2