tamil-sentiment-distilbert

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

• Loss: 1.0230
• Accuracy: 0.665

Dataset Information

• text: Tamil-English code-mixed comment.
• label: list of the possible sentiments
  • LABEL_0: "Positive",
  • LABEL_1: "Negative",
  • LABEL_2: "Mixed_feelings",
  • LABEL_3: "unknown_state",
  • LABEL_4: "not-Tamil"

Intended uses & limitations

This model was just created for doing classification task on tamilmixsentiment dataset

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 0
• 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
1.0442	1.0	250	0.9883	0.674
0.9227	2.0	500	0.9782	0.673
0.7591	3.0	750	1.0230	0.665

Framework versions

• Transformers 4.9.2
• Pytorch 1.9.0+cu102
• Datasets 1.11.0
• Tokenizers 0.10.3