learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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
num_epochs: 5

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.1758	1.0	7533	0.0479	{'accuracy': 0.7797192353643967}	{'precision': 1.0}	{'recall': 0.7797192353643967}	{'f1': 0.8723715186936214}
0.0442	2.0	15066	0.0435	{'accuracy': 0.8116786140979689}	{'precision': 1.0}	{'recall': 0.8116786140979689}	{'f1': 0.8918329497654357}
0.0387	3.0	22599	0.0406	{'accuracy': 0.8342293906810035}	{'precision': 1.0}	{'recall': 0.8342293906810035}	{'f1': 0.9072999595297727}
0.036	4.0	30132	0.0380	{'accuracy': 0.8443847072879331}	{'precision': 1.0}	{'recall': 0.8443847072879331}	{'f1': 0.9139616235054565}
0.0344	5.0	37665	0.0392	{'accuracy': 0.8434886499402628}	{'precision': 1.0}	{'recall': 0.8434886499402628}	{'f1': 0.9128511113212546}

gulkarabas/t5_results

t5_results