SaladSlayer00/twin_matcher_beta

This model is a fine-tuned version of microsoft/resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0286
• Validation Loss: 1.1866
• Validation Accuracy: 0.7159
• Epoch: 34

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Validation Accuracy	Epoch
7.0814	4.8848	0.0133	0
4.6679	4.5568	0.0666	1
4.3536	4.1337	0.1221	2
3.8915	3.6650	0.2053	3
3.4256	3.2568	0.2597	4
3.0033	2.8885	0.3185	5
2.6252	2.5913	0.3973	6
2.2829	2.3391	0.4406	7
1.9821	2.1352	0.4928	8
1.7076	1.9428	0.5250	9
1.4693	1.8008	0.5627	10
1.2464	1.6763	0.5949	11
1.0552	1.5872	0.6093	12
0.9105	1.4840	0.6238	13
0.7595	1.4117	0.6426	14
0.6390	1.3601	0.6582	15
0.5328	1.3283	0.6548	16
0.4539	1.2958	0.6681	17
0.3655	1.2470	0.6715	18
0.3183	1.2389	0.6770	19
0.2597	1.2309	0.6792	20
0.2269	1.2193	0.6881	21
0.1750	1.2206	0.6781	22
0.1553	1.1853	0.6970	23
0.1313	1.1949	0.6781	24
0.1058	1.1935	0.6870	25
0.0903	1.2042	0.6859	26
0.0762	1.1950	0.6948	27
0.0654	1.1798	0.7037	28
0.0588	1.1955	0.6959	29
0.0488	1.1788	0.7048	30
0.0444	1.1845	0.7037	31
0.0374	1.1969	0.7026	32
0.0327	1.1907	0.7048	33
0.0286	1.1866	0.7159	34

Framework versions

• Transformers 4.35.2
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.15.0