--- license: mit base_model: xlm-roberta-base tags: - generated_from_trainer model-index: - name: rap_phase2_22jan_5i_v1 results: [] --- # rap_phase2_22jan_5i_v1 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0219 ## 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: 6 - eval_batch_size: 6 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 11 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 0.3647 | 1.0 | 5010 | 0.0825 | | 0.0693 | 2.0 | 10020 | 0.0517 | | 0.0228 | 3.0 | 15030 | 0.0656 | | 0.0288 | 4.0 | 20040 | 0.0327 | | 0.0387 | 5.0 | 25050 | 0.0448 | | 0.0171 | 6.0 | 30060 | 0.0207 | | 0.0136 | 7.0 | 35070 | 0.0163 | | 0.0059 | 8.0 | 40080 | 0.0200 | | 0.0062 | 9.0 | 45090 | 0.0243 | | 0.0002 | 10.0 | 50100 | 0.0233 | | 0.002 | 11.0 | 55110 | 0.0219 | ### Framework versions - Transformers 4.37.0 - Pytorch 2.1.2+cu121 - Datasets 2.16.1 - Tokenizers 0.15.0