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emoBERTTamil

This model is a fine-tuned version of bert-base-uncased on the tamilmixsentiment dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9666
  • Accuracy: 0.671

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.1128 1.0 250 1.0290 0.672
1.0226 2.0 500 1.0172 0.686
0.9137 3.0 750 0.9666 0.671

Framework versions

  • Transformers 4.9.2
  • Pytorch 1.9.0+cu102
  • Datasets 1.11.0
  • Tokenizers 0.10.3
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Dataset used to train DeadBeast/emoBERTTamil