gpt2_classifier_MMLU_Pro

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5280
• Accuracy: 0.8695
• F1: 0.8691

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: 5e-05
• train_batch_size: 8
• 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	Accuracy	F1
1.1111	1.0	968	0.5542	0.8260	0.8231
0.3669	2.0	1936	0.4217	0.8673	0.8671
0.1922	3.0	2904	0.4459	0.8756	0.8751

Framework versions

• Transformers 4.37.2
• Pytorch 2.0.0
• Datasets 2.17.0
• Tokenizers 0.15.2