--- language: - vi license: mit base_model: FacebookAI/xlm-roberta-base tags: - generated_from_trainer model-index: - name: xlm-roberta-base_span_detect_syl results: [] --- [Visualize in Weights & Biases](https://wandb.ai/vampire_hunter/span_detector_syl_1/runs/xlm-roberta-base) # xlm-roberta-base_span_detect_syl This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the covid19_ner dataset. It achieves the following results on the evaluation set: - Loss: 0.0682 - X: 0.9549 - F1 Macro: 0.9549 - F1 Micro: 0.9549 ## 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 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | X | F1 Macro | F1 Micro | |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:--------:| | 0.1061 | 1.0 | 629 | 0.0699 | 0.9229 | 0.9229 | 0.9229 | | 0.0366 | 2.0 | 1258 | 0.0813 | 0.9363 | 0.9363 | 0.9363 | | 0.0223 | 3.0 | 1887 | 0.0707 | 0.9504 | 0.9504 | 0.9504 | | 0.0144 | 4.0 | 2516 | 0.0661 | 0.9557 | 0.9557 | 0.9557 | | 0.0092 | 5.0 | 3145 | 0.0682 | 0.9549 | 0.9549 | 0.9549 | ### Framework versions - Transformers 4.42.3 - Pytorch 2.1.2 - Datasets 2.20.0 - Tokenizers 0.19.1