distilbert-base-uncased-finetuned-ai-humor

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

• Loss: 0.4763
• Accuracy: 0.7714
• F1: 0.7715

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
0.2993	1.0	16	0.5179	0.75	0.7490
0.2676	2.0	32	0.4763	0.7714	0.7715

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2+cpu
• Datasets 2.1.0
• Tokenizers 0.15.2