distilbert-base-uncased-finetuned-emotion

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

• Loss: 0.1891
• Accuracy: 0.9405
• F1: 0.9405

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.1344	1.0	1000	0.1760	0.933	0.9331
0.0823	2.0	2000	0.1891	0.9405	0.9405

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0.post202
• Datasets 2.3.2
• Tokenizers 0.11.0