--- base_model: airesearch/wangchanberta-base-att-spm-uncased tags: - generated_from_trainer metrics: - accuracy model-index: - name: augment-aspect-finnlp-th results: [] --- # augment-aspect-finnlp-th This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8283 - Accuracy: 0.7819 ## 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: 5e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 1.1709 | 1.0 | 1024 | 0.9057 | 0.7215 | | 0.762 | 2.0 | 2048 | 0.7890 | 0.7580 | | 0.5093 | 3.0 | 3072 | 0.8182 | 0.7637 | | 0.3634 | 4.0 | 4096 | 0.8283 | 0.7819 | ### Framework versions - Transformers 4.33.2 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3