AI is happening. The future is updating.Bangla-twoclass-Sentiment-Analyzer
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.7755 - F1: 0.6113 The following hyperparameters were used during training: - learning_rate: 3e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - training_steps: 1800 - mixed_precision_training: Native AMP - Transformers 4.37.2 - Pytorch 2.1.0+cu121 - Datasets 2.17.1 - Tokenizers 0.15.2
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.7755 - F1: 0.6113 The following hyperparameters were used during training: - learning_rate: 3e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - training_steps: 1800 - mixed_precision_training: Native AMP - Transformers 4.37.2 - Pytorch 2.1.0+cu121 - Datasets 2.17.1 - Tokenizers 0.15.2