--- license: mit base_model: FacebookAI/xlm-roberta-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: xlm-roberta-base-inspiration results: [] --- # xlm-roberta-base-inspiration This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.6599 - Accuracy: 0.8697 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.6109 | 1.0 | 1237 | 0.3765 | 0.8406 | | 0.3053 | 2.0 | 2474 | 0.3668 | 0.8503 | | 0.2276 | 3.0 | 3711 | 0.5105 | 0.8673 | | 0.2864 | 4.0 | 4948 | 0.5916 | 0.8608 | | 0.0791 | 5.0 | 6185 | 0.6599 | 0.8697 | ### Framework versions - Transformers 4.37.1 - Pytorch 2.1.0+cu121 - Datasets 2.16.1 - Tokenizers 0.15.1