image-quality-mobilenetv3

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

• Loss: 0.0123

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: 256
• eval_batch_size: 256
• seed: 42
• optimizer: Use 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
4.3424	1.0	36	3.0847
0.6173	2.0	72	0.4851
0.1393	3.0	108	0.0988
0.0575	4.0	144	0.0536
0.0388	5.0	180	0.0377
0.0324	6.0	216	0.0320
0.0291	7.0	252	0.0312
0.0255	8.0	288	0.0266
0.023	9.0	324	0.0232
0.0213	10.0	360	0.0214
0.0205	11.0	396	0.0209
0.0193	12.0	432	0.0198
0.0183	13.0	468	0.0191
0.0185	14.0	504	0.0179
0.0175	15.0	540	0.0171
0.0166	16.0	576	0.0186
0.0161	17.0	612	0.0167
0.0164	18.0	648	0.0163
0.0152	19.0	684	0.0160
0.0149	20.0	720	0.0156
0.0151	21.0	756	0.0159
0.0147	22.0	792	0.0153
0.0154	23.0	828	0.0162
0.0147	24.0	864	0.0150
0.0144	25.0	900	0.0147
0.0143	26.0	936	0.0144
0.0144	27.0	972	0.0139
0.0152	28.0	1008	0.0150
0.0129	29.0	1044	0.0134
0.0128	30.0	1080	0.0135
0.0126	31.0	1116	0.0141
0.0131	32.0	1152	0.0145
0.0133	33.0	1188	0.0131
0.0124	34.0	1224	0.0133
0.013	35.0	1260	0.0148
0.0121	36.0	1296	0.0129
0.0116	37.0	1332	0.0127
0.0124	38.0	1368	0.0129
0.0121	39.0	1404	0.0134
0.0121	40.0	1440	0.0128
0.0119	41.0	1476	0.0126
0.0116	42.0	1512	0.0125
0.0118	43.0	1548	0.0126
0.0114	44.0	1584	0.0127
0.0117	45.0	1620	0.0125
0.0116	46.0	1656	0.0127
0.0118	47.0	1692	0.0126
0.0116	48.0	1728	0.0123
0.0114	49.0	1764	0.0123
0.0113	50.0	1800	0.0123

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3