gpt2-token-class

This model is a fine-tuned version of brad1141/gpt2-finetuned-comp2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3140
• Precision: 0.8139
• Recall: 0.6070
• F1: 0.6418
• Accuracy: 0.8854

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	Precision	Recall	F1	Accuracy
0.2737	1.0	1796	0.3191	0.8066	0.6061	0.6402	0.8845
0.2846	2.0	3592	0.3140	0.8139	0.6070	0.6418	0.8854

Framework versions

• Transformers 4.29.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3