--- base_model: klue/roberta-large tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: pogny-16-0.00002 results: [] --- [Visualize in Weights & Biases](https://wandb.ai/bella05/huggingface/runs/gi9imxak) # pogny-16-0.00002 This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.9252 - Accuracy: 0.7676 - F1: 0.7648 ## 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: 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: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| | 0.6579 | 1.0 | 4818 | 0.6370 | 0.7627 | 0.7604 | | 0.5424 | 2.0 | 9636 | 0.6263 | 0.7671 | 0.7636 | | 0.4158 | 3.0 | 14454 | 0.6761 | 0.7721 | 0.7690 | | 0.3116 | 4.0 | 19272 | 0.7796 | 0.7705 | 0.7680 | | 0.221 | 5.0 | 24090 | 1.0186 | 0.7640 | 0.7616 | | 0.1605 | 6.0 | 28908 | 1.3264 | 0.7679 | 0.7648 | | 0.122 | 7.0 | 33726 | 1.5300 | 0.7685 | 0.7642 | | 0.0808 | 8.0 | 38544 | 1.7068 | 0.7594 | 0.7574 | | 0.0606 | 9.0 | 43362 | 1.8555 | 0.7632 | 0.7613 | | 0.0249 | 10.0 | 48180 | 1.9252 | 0.7676 | 0.7648 | ### Framework versions - Transformers 4.41.0 - Pytorch 2.2.2 - Datasets 2.19.1 - Tokenizers 0.19.1