learning_rate: 5e-06
train_batch_size: 8
eval_batch_size: 8
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: polynomial
lr_scheduler_warmup_ratio: 0.1
training_steps: 1152

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6828	0.0833	96	0.6977	0.5244
0.692	1.0833	192	0.7108	0.5244
0.5597	2.0833	288	0.7554	0.5732
0.5573	3.0833	384	0.6685	0.5610
0.5035	4.0833	480	0.8520	0.5549
0.4499	5.0833	576	0.8314	0.5976
0.3592	6.0833	672	0.8039	0.5976
0.3792	7.0833	768	0.7147	0.6341
0.2453	8.0833	864	0.7976	0.6341
0.1699	9.0833	960	1.1120	0.5915
0.19	10.0833	1056	1.0033	0.6159
0.1862	11.0833	1152	1.0783	0.6220

TanAlexanderlz/RALL_MVCROP-ori16Ftest_5e6-poly

RALL_MVCROP-ori16Ftest_5e6-poly