--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: ConfliBERT-multilingual-cased results: [] --- [Visualize in Weights & Biases](https://wandb.ai/naifalatrush/huggingface/runs/pkmv6f0x) # ConfliBERT-multilingual-cased This model is a fine-tuned version of [../models/bert-base-multilingual-cased](https://huggingface.co/../models/bert-base-multilingual-cased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8142 - Accuracy: 0.8094 ## 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: 5e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results ### Framework versions - Transformers 4.41.0.dev0 - Pytorch 2.2.0.dev20231003+cu121 - Datasets 2.14.5 - Tokenizers 0.19.1