--- license: mit base_model: roberta-base tags: - generated_from_trainer model-index: - name: roberta-base-pretrained-perigon200k results: [] --- # roberta-base-pretrained-perigon200k This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.9840 ## 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: 8.5e-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 - lr_scheduler_warmup_ratio: 0.19 - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1.4678 | 1.0 | 5480 | 1.3180 | | 1.3713 | 2.0 | 10960 | 1.2695 | | 1.2673 | 3.0 | 16440 | 1.1842 | | 1.211 | 4.0 | 21920 | 1.1350 | | 1.1646 | 5.0 | 27400 | 1.0997 | | 1.1181 | 6.0 | 32880 | 1.0630 | | 1.0859 | 7.0 | 38360 | 1.0344 | | 1.0561 | 8.0 | 43840 | 1.0126 | | 1.0244 | 9.0 | 49320 | 0.9944 | | 1.0006 | 10.0 | 54800 | 0.9881 | ### Framework versions - Transformers 4.33.1 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3