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