roberta-base-sst2-finetuned-emotion

This model is a fine-tuned version of WillHeld/roberta-base-sst2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2058
• Accuracy: 0.9381
• F1: 0.9381

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: 64
• eval_batch_size: 64
• 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
0.1387	1.0	109	0.1822	0.9415	0.9415
0.0826	2.0	218	0.2058	0.9381	0.9381

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2