learning_rate: 2e-05
train_batch_size: 3
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 12
optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 2

Training Loss	Epoch	Step	Validation Loss
1.463	0.1715	100	0.5191
0.5064	0.3429	200	0.4908
0.4851	0.5144	300	0.4699
0.4797	0.6858	400	0.4539
0.4608	0.8573	500	0.4486
0.4416	1.0274	600	0.4425
0.4253	1.1989	700	0.4316
0.4015	1.3703	800	0.4245
0.3976	1.5418	900	0.4262
0.4092	1.7132	1000	0.4193
0.399	1.8847	1100	0.4210

SumitAST/paligemma_clevr

paligemma_clevr