distilbert-base-uncased-finetuned-emotion

This model is a fine-tuned variant of distilbert-base-uncased using the emotion dataset. The evaluation results demonstrate its performance:

• Loss: 0.1595
• Accuracy: 93.35%
• F1 Score: 93.35%

Hyperparameters

• learning_rate: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Epoch	Training Loss	Validation Loss	Accuracy	F1
1	0.1703	0.1709	0.9355	0.9361
2	0.1115	0.1595	0.9335	0.9335