learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use adamw_torch_fused 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: 500
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss
2.0090	1.0	889	0.7767
1.6572	2.0	1778	0.7032
1.4638	3.0	2667	0.6705
1.3440	4.0	3556	0.6528
1.2512	5.0	4445	0.6481
1.1572	6.0	5334	0.6422
1.0987	7.0	6223	0.6384
1.0329	8.0	7112	0.6442
0.9974	9.0	8001	0.6441
0.9520	10.0	8890	0.6489
0.9086	11.0	9779	0.6554
0.8743	12.0	10668	0.6613
0.8472	13.0	11557	0.6635
0.8171	14.0	12446	0.6664
0.8001	15.0	13335	0.6704
0.7833	16.0	14224	0.6745
0.7651	17.0	15113	0.6777
0.7519	18.0	16002	0.6797
0.7533	19.0	16891	0.6794
0.7485	20.0	17780	0.6808

anupa41222/mt5-base-bias-aware-final

mt5-base-bias-aware-final