arabertv2-topic-classification-finetuned

This model is a fine-tuned version of PureFighter/autotrain-topic-classification on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5776
• Accuracy: 0.8383

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1143	0.6667	250	0.9106	0.7455
0.573	1.3333	500	0.6648	0.7994
0.5023	2.0	750	0.6021	0.8323
0.3985	2.6667	1000	0.5776	0.8383

Framework versions

• Transformers 4.44.0
• Pytorch 2.2.2
• Datasets 2.20.0
• Tokenizers 0.19.1