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bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned – AI Model by vish88 | AlphaNeural AI

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vish88/
bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned

This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth on the xnli dataset. It achieves the following results on the evaluation set:

eval_loss: 0.6446
eval_accuracy: 0.7295
eval_f1: 0.7286
eval_runtime: 72.1081
eval_samples_per_second: 69.479
eval_steps_per_second: 69.479
epoch: 1.0
step: 12271

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2