learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
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: linear
lr_scheduler_warmup_ratio: 0.2
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.8276	3	2.6387	0.0531
No log	1.8276	6	2.6428	0.0265
No log	2.8276	9	2.6448	0.0619
2.837	3.8276	12	2.6436	0.0531
2.837	4.8276	15	2.6464	0.0619
2.837	5.8276	18	2.6462	0.0885
2.8278	6.8276	21	2.6466	0.0973
2.8278	7.8276	24	2.6465	0.1062
2.8278	8.8276	27	2.6471	0.1062
2.8242	9.8276	30	2.6476	0.1062

italiyarishi/my_awesome_mind_model

my_awesome_mind_model