bert base turkish cased emotion analysis This model is a fine tuned version of dbmdz/bert base turkish cased on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.0437 Accuracy: 0.995 ?? F1: 0.9950 ?? 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: 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: 2 Training results Training Loss Epoch Step Validation Loss Accuracy F1 : : : : : : : : : : : : No log 1.0 119 0.0378 0.99 0.9900 No log 2.0 238 0.0437 0.995 0.9950 Framework versions Transformers 4.27.1 Pytorch 2.0.0+cpu Datasets 2.10.1 Tokenizers 0.13.2
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