afro-xlmr-large-76L-vmw-swap-delete-finetuned-30-epochs

This model is a fine-tuned version of Davlan/afro-xlmr-large-76L on the None dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 30

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.3177	1.0	89	0.3209	0.0	0.5	0.4354
0.2968	2.0	178	0.3099	0.0	0.5	0.4354
0.2886	3.0	267	0.3029	0.0145	0.5038	0.4438
0.2625	4.0	356	0.2947	0.0824	0.5227	0.4438
0.2367	5.0	445	0.2933	0.1385	0.5395	0.4719
0.1819	6.0	534	0.3031	0.1951	0.5597	0.4691
0.1498	7.0	623	0.3104	0.2790	0.5936	0.5028
0.1189	8.0	712	0.3306	0.2798	0.5981	0.5169
0.0821	9.0	801	0.3400	0.3019	0.6007	0.4944
0.0615	10.0	890	0.3459	0.3624	0.6310	0.5084
0.0455	11.0	979	0.3633	0.3599	0.6290	0.5169
0.0318	12.0	1068	0.3712	0.3783	0.6312	0.5449
0.0279	13.0	1157	0.3923	0.3502	0.6184	0.5281
0.0207	14.0	1246	0.3883	0.3753	0.6309	0.5365
0.0148	15.0	1335	0.4054	0.4092	0.6439	0.5449
0.0153	16.0	1424	0.4125	0.3827	0.6320	0.5281
0.0097	17.0	1513	0.4258	0.4011	0.6356	0.5365
0.0065	18.0	1602	0.4407	0.3792	0.6298	0.5197
0.0064	19.0	1691	0.4324	0.4054	0.6370	0.5534
0.0049	20.0	1780	0.4541	0.3897	0.6332	0.5449
0.0043	21.0	1869	0.4587	0.3539	0.6177	0.5337