resnet-152_rice-leaf-disease-augmented-v4_tl

This model is a fine-tuned version of microsoft/resnet-152 on an unknown dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

learning_rate: 0.0003
train_batch_size: 64
eval_batch_size: 64
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_with_restarts
lr_scheduler_warmup_steps: 256
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.0703	0.5	64	2.0574	0.2383
2.0334	1.0	128	2.0009	0.3826
1.9632	1.5	192	1.9175	0.4732
1.8743	2.0	256	1.8030	0.5570
1.7723	2.5	320	1.7035	0.6007
1.6895	3.0	384	1.6242	0.5839
1.6201	3.5	448	1.5710	0.5839
1.5769	4.0	512	1.5331	0.6074
1.5417	4.5	576	1.5034	0.6107
1.5175	5.0	640	1.4916	0.5940
1.5083	5.5	704	1.4881	0.6074
1.5006	6.0	768	1.4846	0.6040
1.5107	6.5	832	1.4729	0.5805
1.4573	7.0	896	1.4234	0.6174
1.4301	7.5	960	1.3880	0.6174
1.3891	8.0	1024	1.3660	0.6174
1.3551	8.5	1088	1.3354	0.6275
1.3576	9.0	1152	1.3350	0.6208
1.348	9.5	1216	1.3226	0.6342
1.3288	10.0	1280	1.3211	0.6376
1.3361	10.5	1344	1.3302	0.6242
1.3256	11.0	1408	1.2959	0.6275
1.2922	11.5	1472	1.2862	0.6342
1.2886	12.0	1536	1.2463	0.6443
1.263	12.5	1600	1.2523	0.6309
1.2471	13.0	1664	1.2478	0.6409
1.2389	13.5	1728	1.2363	0.6141
1.2352	14.0	1792	1.2276	0.6409
1.2292	14.5	1856	1.2252	0.6510
1.2203	15.0	1920	1.2256	0.6477