--- tags: - generated_from_trainer model-index: - name: wangchanberta-base-att-spm-uncased-finetuned-imdb results: [] --- # wangchanberta-base-att-spm-uncased-finetuned-imdb 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: 2.5910 ## 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: 2e-05 - train_batch_size: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.9341 | 1.0 | 295 | 2.6511 | | 2.8093 | 2.0 | 590 | 2.6178 | | 2.7689 | 3.0 | 885 | 2.5321 | ### Framework versions - Transformers 4.19.2 - Pytorch 1.11.0+cu113 - Datasets 2.2.2 - Tokenizers 0.12.1