Source

--- library_name: transformers base_model: Kkonjeong/wav2vec2-base-korean tags: - generated_from_trainer metrics: - accuracy model-index: - name: source 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. --> # source This model is a fine-tuned version of [Kkonjeong/wav2vec2-base-korean](https://huggingface.co/Kkonjeong/wav2vec2-base-korean) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.3088 - Accuracy: 1.0 ## 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: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 30 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 2 | 1.8426 | 0.7895 | | No log | 2.0 | 4 | 1.7852 | 0.4211 | | No log | 3.0 | 6 | 1.7076 | 0.4211 | | No log | 4.0 | 8 | 1.5683 | 0.4737 | | No log | 5.0 | 10 | 1.4096 | 0.5263 | | No log | 6.0 | 12 | 1.2635 | 0.6842 | | No log | 7.0 | 14 | 1.1545 | 0.8947 | | No log | 8.0 | 16 | 1.0635 | 1.0 | | No log | 9.0 | 18 | 1.0364 | 1.0 | | No log | 10.0 | 20 | 0.9386 | 1.0 | | No log | 11.0 | 22 | 0.8213 | 1.0 | | No log | 12.0 | 24 | 0.7324 | 1.0 | | No log | 13.0 | 26 | 0.6762 | 1.0 | | No log | 14.0 | 28 | 0.6186 | 1.0 | | No log | 15.0 | 30 | 0.5664 | 1.0 | | No log | 16.0 | 32 | 0.5222 | 1.0 | | No log | 17.0 | 34 | 0.4790 | 1.0 | | No log | 18.0 | 36 | 0.4466 | 1.0 | | No log | 19.0 | 38 | 0.4182 | 1.0 | | No log | 20.0 | 40 | 0.3977 | 1.0 | | No log | 21.0 | 42 | 0.3853 | 1.0 | | No log | 22.0 | 44 | 0.3629 | 1.0 | | No log | 23.0 | 46 | 0.4165 | 1.0 | | No log | 24.0 | 48 | 0.4238 | 0.9474 | | No log | 25.0 | 50 | 0.3418 | 1.0 | | No log | 26.0 | 52 | 0.3316 | 1.0 | | No log | 27.0 | 54...