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afro-xlmr-base-finetuned-ner – AI Model by Elu-dan | AlphaNeural AI
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Elu-dan
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afro-xlmr-base-finetuned-ner
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transformers
tensorboard
safetensors
xlm-roberta
token-classification
generated_from_trainer
masakhaner
Davlan/afro-xlmr-base
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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afro-xlmr-base-finetuned-ner
This model is a fine-tuned version of
Davlan/afro-xlmr-base
on the masakhaner dataset. It achieves the following results on the evaluation set:
Loss: 0.1729
Precision: 0.6378
Recall: 0.7409
F1: 0.6855
Accuracy: 0.9539
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
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: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
219
0.2089
0.55
0.6707
0.6044
0.9310
No log
2.0
438
0.1602
0.6305
0.7439
0.6825
0.9536
0.2795
3.0
657
0.1729
0.6378
0.7409
0.6855
0.9539
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
