unet-resnet34-malaria-trophozoites-wbc

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1531

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: 0.003
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	242	0.2605
No log	2.0	484	0.2295
0.6582	3.0	726	0.1956
0.6582	4.0	968	0.2041
0.1668	5.0	1210	0.1908
0.1668	6.0	1452	0.1820
0.1603	7.0	1694	0.1835
0.1603	8.0	1936	0.1800
0.1545	9.0	2178	0.1878
0.1545	10.0	2420	0.1753
0.151	11.0	2662	0.1952
0.151	12.0	2904	0.1860
0.1454	13.0	3146	0.1827
0.1454	14.0	3388	0.1729
0.1441	15.0	3630	0.1673
0.1441	16.0	3872	0.1707
0.1425	17.0	4114	0.1654
0.1425	18.0	4356	0.1667
0.1405	19.0	4598	0.1673
0.1405	20.0	4840	0.1699
0.1381	21.0	5082	0.1641
0.1381	22.0	5324	0.1654
0.141	23.0	5566	0.1670
0.141	24.0	5808	0.1658
0.136	25.0	6050	0.1678
0.136	26.0	6292	0.1623
0.136	27.0	6534	0.1640
0.136	28.0	6776	0.1618
0.1326	29.0	7018	0.1594
0.1326	30.0	7260	0.1611
0.1337	31.0	7502	0.1623
0.1337	32.0	7744	0.1599
0.1337	33.0	7986	0.1588
0.1301	34.0	8228	0.1583
0.1301	35.0	8470	0.1585
0.1301	36.0	8712	0.1569
0.1301	37.0	8954	0.1573
0.1298	38.0	9196	0.1562
0.1298	39.0	9438	0.1581
0.1309	40.0	9680	0.1568
0.1309	41.0	9922	0.1558
0.1274	42.0	10164	0.1552
0.1274	43.0	10406	0.1553
0.127	44.0	10648	0.1567
0.127	45.0	10890	0.1542
0.1278	46.0	11132	0.1545
0.1278	47.0	11374	0.1549
0.1275	48.0	11616	0.1535
0.1275	49.0	11858	0.1541
0.126	50.0	12100	0.1531

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.0
• Tokenizers 0.21.0