learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
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: linear
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	F1	Precision	Recall	Accuracy
1.6432	1.0	104	0.7593	0.6536	0.6592	0.6578	0.6578
1.4880	2.0	208	0.8054	0.6833	0.7140	0.6880	0.6880
1.0657	3.0	312	0.8070	0.6929	0.7027	0.6989	0.6989
0.8187	4.0	416	0.8961	0.6813	0.6857	0.6844	0.6844
0.5049	5.0	520	1.1145	0.6847	0.6936	0.6868	0.6868
0.4957	6.0	624	1.2119	0.6683	0.6889	0.6711	0.6711
0.2885	7.0	728	1.3918	0.6708	0.6852	0.6723	0.6723
0.2039	8.0	832	1.4049	0.6958	0.6966	0.6953	0.6953
0.2251	9.0	936	1.7742	0.6768	0.6852	0.6832	0.6832
0.2390	10.0	1040	1.7947	0.6971	0.7043	0.6965	0.6965
0.1849	11.0	1144	2.2932	0.6795	0.6851	0.6796	0.6796
0.1306	12.0	1248	2.3704	0.6911	0.6944	0.6917	0.6917
0.1611	13.0	1352	2.2066	0.6985	0.7060	0.6977	0.6977
0.0464	14.0	1456	2.3864	0.6887	0.6890	0.6892	0.6892
0.0953	15.0	1560	2.5195	0.6822	0.6839	0.6820	0.6820
0.0013	16.0	1664	2.4388	0.6928	0.6944	0.6929	0.6929
0.0797	17.0	1768	2.4965	0.6997	0.7021	0.7025	0.7025
0.0576	18.0	1872	2.5354	0.6905	0.6945	0.6904	0.6904
0.0490	19.0	1976	2.6234	0.6905	0.6955	0.6904	0.6904
0.0445	20.0	2080	2.5570	0.6905	0.6942	0.6904	0.6904

jkayobotsi/kinyarwanda-sentiment-afroxlmr-large

kinyarwanda-sentiment-afroxlmr-large