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sentiment-benchmark

benchmarking basic models for sentiment classification

Models & Results

EmbAvg

Adam lr=0.001 Epoch=100

  • Evaluation on devDataset -- Accuracy 0.325 Loss per batch 1.87712673855
  • Evaluation on testDataset -- Accuracy 0.287 Loss per batch 1.89027359867

RNNHidAvg

Adam lr=0.001 Epoch=100

  • Evaluation on devDataset -- Accuracy 0.395 Loss per batch 1.75760738373
  • Evaluation on testDataset -- Accuracy 0.411 Loss per batch 1.74928137207