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 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: 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 Training results Training Loss Epoch Step Validation Loss F1 : : : : : : : : : : No log 2.53 200 0.9869 0.4635 No log 5.06 400 0.8978 0.5858 0.8692 7.59 600 1.1978 0.6149 0.8692 10.13 800 1.5145 0.6112 0.3138 12.66 1000 2.0353 0.6041 0.3138 15.19 1200 2.4316 0.6203 0.3138 17.72 1400 2.6025 0.6002 0.0769 20.25 1600 2.6247 0.6082 0.0769 22.78 1800 2.7755 0.6113 Framework versions Transformers 4.37.2 Pytorch 2.1.0+cu121 Datasets 2.17.1 Tokenizers 0.15.2
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