learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	F1 Macro	F1 Weighted	Accuracy	F1 Neu	F1 Pos
102.3262	1.0	85	45.8907	0.1184	0.0767	0.2159	0.0	0.3551
17.9541	2.0	170	5.1985	0.1184	0.0767	0.2159	0.0	0.3551
3.4997	3.0	255	1.1731	0.2401	0.4056	0.5630	0.7204	0.0
2.4389	4.0	340	1.0647	0.2401	0.4056	0.5630	0.7204	0.0
2.6072	5.0	425	1.2260	0.2401	0.4056	0.5630	0.7204	0.0
2.3879	6.0	510	1.0551	0.2401	0.4056	0.5630	0.7204	0.0
2.6186	7.0	595	0.9950	0.2401	0.4056	0.5630	0.7204	0.0
2.1174	8.0	680	0.9923	0.2401	0.4056	0.5630	0.7204	0.0
2.0726	9.0	765	0.9892	0.2401	0.4056	0.5630	0.7204	0.0
2.1102	10.0	850	0.9956	0.2401	0.4056	0.5630	0.7204	0.0

akseljoonas/biotech-sentiment-v3-A-deberta-v3-large

biotech-sentiment-v3-A-deberta-v3-large