learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 32
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: 15
label_smoothing_factor: 0.1

Training Loss	Epoch	Step	Validation Loss	F1 Macro	F1 Weighted	F1 Neg	F1 Neu	F1 Pos
2.1937	1.0	99	1.1141	0.2786	0.4753	0.0878	0.7480	0.0
2.1524	2.0	198	1.0896	0.2894	0.4880	0.0702	0.7635	0.0345
2.0200	3.0	297	1.0944	0.3613	0.5090	0.1587	0.7144	0.2109
1.7418	4.0	396	1.1543	0.3909	0.5025	0.2984	0.6570	0.2171
1.3048	5.0	495	1.2334	0.3903	0.5119	0.2806	0.6802	0.2102
0.9555	6.0	594	1.3307	0.3970	0.5295	0.2839	0.7129	0.1942
0.9129	7.0	693	1.3240	0.3823	0.5179	0.2214	0.7062	0.2194
0.8084	8.0	792	1.3073	0.4076	0.5224	0.2431	0.6824	0.2972
0.7931	9.0	891	1.2647	0.3940	0.5154	0.2763	0.6836	0.2222
0.7278	10.0	990	1.2731	0.4029	0.5291	0.2810	0.7040	0.2237
0.7109	11.0	1089	1.2543	0.3929	0.5169	0.2692	0.6888	0.2208
0.6961	12.0	1188	1.2447	0.4033	0.5298	0.2576	0.7054	0.2468
0.6989	13.0	1287	1.2457	0.3986	0.5267	0.2606	0.7043	0.2310

akseljoonas/biotech-sentiment-A

biotech-sentiment-A