learning_rate: 0.0006
train_batch_size: 32
eval_batch_size: 32
seed: 41
optimizer: Use adamw_torch 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: 2000
num_epochs: 20.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3222	1.0	1016	5.0527	0.2888
1.1829	2.0	2032	4.9731	0.2931
1.1528	3.0	3048	4.8485	0.2999
1.128	4.0	4064	4.7903	0.3020
1.1098	5.0	5080	4.7537	0.3039
1.0951	6.0	6096	4.7167	0.3058
1.0824	7.0	7112	4.6997	0.3068
1.0724	8.0	8128	4.6741	0.3081
1.0626	9.0	9144	4.6690	0.3082
1.0532	10.0	10160	4.6595	0.3097
1.0428	11.0	11176	4.6561	0.3101
1.0351	12.0	12192	4.6442	0.3108
1.0274	13.0	13208	4.6444	0.3109
1.0206	14.0	14224	4.6422	0.3117
1.0125	15.0	15240	4.6393	0.3118
1.0029	16.0	16256	4.6410	0.3124
0.9949	17.0	17272	4.6424	0.3123
0.9891	18.0	18288	4.6434	0.3128
0.9799	19.0	19304	4.6415	0.3130
0.977	20.0	20320	4.6435	0.3132

xiulinyang/GPT2_10MRR_50000

10MRR_50000_41