detr-resnet-50-CD45RB-100

This model is a fine-tuned version of facebook/detr-resnet-50 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.6658

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: 0.0001
• 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: 50

Training results

Training Loss	Epoch	Step	Validation Loss
3.1316	1.0	94	2.3431
2.812	2.0	188	2.2115
2.8118	3.0	282	1.9844
2.5555	4.0	376	1.9309
2.4803	5.0	470	1.8790
2.5099	6.0	564	2.0294
2.5365	7.0	658	1.8845
2.4593	8.0	752	1.8699
2.4248	9.0	846	1.7946
2.4017	10.0	940	1.7905
2.4523	11.0	1034	1.8319
2.4407	12.0	1128	1.8370
2.3727	13.0	1222	1.8001
2.317	14.0	1316	1.7492
2.3292	15.0	1410	1.7531
2.3086	16.0	1504	1.7637
2.3175	17.0	1598	1.7302
2.3002	18.0	1692	1.7216
2.2756	19.0	1786	1.7345
2.2656	20.0	1880	1.7225
2.3083	21.0	1974	1.7549
2.2542	22.0	2068	1.7175
2.2262	23.0	2162	1.6998
2.2644	24.0	2256	1.7020
2.2392	25.0	2350	1.6933
2.228	26.0	2444	1.7434
2.2284	27.0	2538	1.7070
2.2019	28.0	2632	1.6977
2.1804	29.0	2726	1.6867
2.1939	30.0	2820	1.6859
2.1863	31.0	2914	1.6802
2.2009	32.0	3008	1.6940
2.1894	33.0	3102	1.6720
2.1759	34.0	3196	1.6700
2.1575	35.0	3290	1.6713
2.1715	36.0	3384	1.7287
2.2125	37.0	3478	1.6994
2.2032	38.0	3572	1.6896
2.21	39.0	3666	1.6793
2.1837	40.0	3760	1.6747
2.2136	41.0	3854	1.6728
2.1825	42.0	3948	1.6641
2.1419	43.0	4042	1.6829
2.1695	44.0	4136	1.6625
2.1478	45.0	4230	1.6680
2.1464	46.0	4324	1.6795
2.1809	47.0	4418	1.6775
2.174	48.0	4512	1.6668
2.1391	49.0	4606	1.6559
2.1466	50.0	4700	1.6658

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.10.0
• Tokenizers 0.13.2