emotion_classification

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

• Loss: 1.6119
• F1: 0.3852

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	313	1.8826	0.1762
2.1614	2.0	626	1.6738	0.3442
2.1614	3.0	939	1.6119	0.3852

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3