Hub-Repoop-1706132005

This model is a fine-tuned version of Kevinger/setfit-hub-report on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1718
• F1: 0.7750
• Roc Auc: 0.8654
• Accuracy: 0.7595

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 13

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
No log	1.0	277	0.3053	0.0	0.5	0.0
0.3561	2.0	554	0.2275	0.5792	0.7105	0.4283
0.3561	3.0	831	0.1904	0.7453	0.8270	0.6730
0.2037	4.0	1108	0.1791	0.7602	0.8498	0.7257
0.2037	5.0	1385	0.1724	0.7614	0.8556	0.7405
0.144	6.0	1662	0.1733	0.7557	0.8546	0.7405
0.144	7.0	1939	0.1718	0.7750	0.8654	0.7595
0.1093	8.0	2216	0.1805	0.7605	0.8579	0.7468
0.1093	9.0	2493	0.1842	0.7484	0.8508	0.7342
0.0872	10.0	2770	0.1817	0.7597	0.8577	0.7447
0.0748	11.0	3047	0.1824	0.7561	0.8579	0.7468
0.0748	12.0	3324	0.1826	0.7663	0.8630	0.7553
0.0674	13.0	3601	0.1844	0.7594	0.8585	0.7489

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1