generated_from_trainer

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

vit-base_rvl_cdip-N1K_aAURC_2

This model is a fine-tuned version of jordyvl/vit-base_rvl-cdip on the None dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss Accuracy Brier Loss Nll F1 Micro F1 Macro Ece Aurc
0.1996 1.0 8000 0.2395 0.8413 0.2593 1.3668 0.8413 0.8446 0.1016 0.0414
0.1357 2.0 16000 0.2446 0.8545 0.2435 1.2587 0.8545 0.8550 0.1066 0.0364
0.1083 3.0 24000 0.2702 0.8515 0.2584 1.2968 0.8515 0.8528 0.1126 0.0379
0.0578 4.0 32000 0.3397 0.8327 0.2931 1.3827 0.8327 0.8322 0.1391 0.0494
0.0294 5.0 40000 0.3407 0.8538 0.2662 1.3685 0.8537 0.8536 0.1280 0.0378
0.0099 6.0 48000 0.3489 0.8585 0.2602 1.2438 0.8585 0.8599 0.1254 0.0350
0.0058 7.0 56000 0.3433 0.868 0.2418 1.2328 0.868 0.8666 0.1172 0.0362
0.0026 8.0 64000 0.3414 0.87 0.2401 1.1910 0.87 0.8704 0.1162 0.0304
0.0026 9.0 72000 0.3460 0.8728 0.2357 1.1567 0.8728 0.8729 0.1143 0.0308
0.0024 10.0 80000 0.3354 0.8788 0.2243 1.0945 0.8788 0.8793 0.1094 0.0303

Framework versions