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uner_qaf_ara – AI Model by universalner | AlphaNeural AI

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universalner/
uner_qaf_ara

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token-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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uner_qaf_ara

This model is a fine-tuned version of xlm-roberta-large on the uner_qaf_ara dataset. It achieves the following results on the evaluation set:

Loss: 0.1885
Precision: 0.7241
Recall: 0.7206
F1: 0.7224
Accuracy: 0.9548

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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Framework versions

Transformers 4.31.0
Pytorch 1.10.1+cu113
Datasets 2.14.4
Tokenizers 0.13.3