learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: 0.03
num_epochs: 5
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	F1
6.8728	0.9950	100	1.8998	{'f1': 0.3554471709728371}
6.545	1.9851	200	1.7557	{'f1': 0.4311025882104702}
5.7745	2.9751	300	1.7189	{'f1': 0.45241170661760866}
5.1439	3.9652	400	1.7268	{'f1': 0.4629496833729773}
4.6931	4.9552	500	1.7268	{'f1': 0.4749679405113014}

abdeljalilELmajjodi/emotion_classifier

emotion_classifier