salohnana2018/POEMS-CAMELBERT-MSA-RUN1

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

POEMS-CAMELBERT-MSA-RUN1

This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-msa on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.3027
• —Accuracy: 0.6095
• —F1: 0.6095
• —Precision: 0.6095
• —Recall: 0.6095

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: 5e-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.38.2
• —Pytorch 2.1.0+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2