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Sam4rano/
nollysenti_afro-xlmr-base

Name: nollysenti_afro-xlmr-base
Availability: InStock

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results_afro-xlmr-base

This model is a fine-tuned version of Davlan/afro-xlmr-base on the Davlan/nollysenti dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 3e-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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Pred Classes	Label Classes
0.576	0.3546	100	0.4729	0.8258	0.8121	0.8996	0.7401	2	2
0.4317	0.7092	200	0.4224	0.8802	0.8795	0.9006	0.8593	2	2
0.4079	1.0638	300	0.3737	0.8942	0.8967	0.8912	0.9021	2	2
0.3399	1.4184	400	0.3896	0.8974	0.9009	0.8850	0.9174	2	2
0.3357	1.7730	500	0.3707	0.9082	0.9102	0.9061	0.9144	2	2
0.3256	2.1277	600	0.3689	0.9176	0.9188	0.9202	0.9174	2	2
0.2899	2.4823	700	0.3789	0.9253	0.9252	0.9429	0.9083	2	2
0.2793	2.8369	800	0.3703	0.9160	0.9189	0.9027	0.9358	2	2
0.2712	3.1915	900	0.3737	0.9253	0.9273	0.9189	0.9358	2	2
0.2523	3.5461	1000	0.4002	0.9114	0.9143	0.8994	0.9297	2	2
0.2669	3.9007	1100	0.3847	0.9191	0.9210	0.9154	0.9266	2	2