base_emotion_0410

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1160
• Accuracy: 0.9550
• F1: 0.9546
• Precision:: 0.9570
• Recall: 0.9545

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	Precision:	Recall
0.2201	1.0	5053	0.1191	0.9561	0.9560	0.9579	0.9557
0.1087	2.0	10106	0.1160	0.9550	0.9546	0.9570	0.9545

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.2
• Datasets 2.18.0
• Tokenizers 0.15.1