learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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: linear
num_epochs: 12

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro Precision	Macro F1
No log	1.0	54	2.0799	0.2283	0.0285	0.0465
No log	2.0	108	2.0098	0.2694	0.1451	0.1515
No log	3.0	162	1.9431	0.1644	0.1181	0.1167
No log	4.0	216	1.9499	0.1963	0.1930	0.1561
No log	5.0	270	1.9524	0.2192	0.2342	0.1982
No log	6.0	324	2.0069	0.2648	0.2232	0.2092
No log	7.0	378	2.0393	0.2877	0.1995	0.1980
No log	8.0	432	2.1675	0.3151	0.2590	0.2438
No log	9.0	486	2.1879	0.3242	0.2509	0.2445
1.4214	10.0	540	2.2435	0.2922	0.1962	0.1908
1.4214	11.0	594	2.3314	0.3014	0.2107	0.2060
1.4214	12.0	648	2.3055	0.3059	0.2071	0.2024

KingTechnician/roberta-base_Climate_LRTC

roberta-base_Climate_LRTC