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Seba42/
cifar100-ButterflyMlpNet

Name: cifar100-ButterflyMlpNet
Rating: 2.5 (14 reviews)

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cifar100-ButterflyMlpNet

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

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The following hyperparameters were used during training:

learning_rate: 0.001
train_batch_size: 16
eval_batch_size: 16
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.4676	1.0	3125	3.5962	0.1578
3.3095	2.0	6250	3.3498	0.1981
2.9699	3.0	9375	3.0833	0.2476
2.8611	4.0	12500	2.9639	0.2718
2.6343	5.0	15625	2.8729	0.3003
2.4611	6.0	18750	2.8173	0.3188
2.1236	7.0	21875	2.8665	0.3168
1.8903	8.0	25000	3.0810	0.3274
1.5247	9.0	28125	3.3761	0.3209
1.0512	10.0	31250	3.7849	0.3207
0.8395	11.0	34375	4.2214	0.3155
0.4714	12.0	37500	4.8652	0.3097
0.3216	13.0	40625	5.6464	0.3134
0.1419	14.0	43750	6.5424	0.3151
0.0718	15.0	46875	7.3355	0.3173
0.0472	16.0	50000	8.1995	0.3225
0.0058	17.0	53125	8.6810	0.3211
0.0033	18.0	56250	8.9136	0.3202
0.0069	19.0	59375	9.0834	0.3214
0.0008	20.0	62500	9.0995	0.3216