learning_rate: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.05
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.0284	0.3065	100	0.0176
0.0121	0.6130	200	0.0100
0.0077	0.9195	300	0.0074
0.0096	1.2238	400	0.0070
0.0048	1.5303	500	0.0055
0.0044	1.8368	600	0.0051
0.0031	2.1410	700	0.0047
0.0048	2.4475	800	0.0043
0.0050	2.7540	900	0.0042

A-Simeda/models_exp_tracker

models_exp_tracker