resultsara_5epoch

This model is a fine-tuned version of moussaKam/AraBART on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6393

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
• 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: 8
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4457	0.1333	500	0.7199
0.8534	0.2667	1000	0.6676
0.9825	0.4	1500	0.6572
0.9602	0.5333	2000	0.6492
0.9685	0.6667	2500	0.6411
0.9596	0.8	3000	0.6374
0.9561	0.9333	3500	0.6312
0.8599	1.0667	4000	0.6394
0.7501	1.2	4500	0.6413
0.7739	1.3333	5000	0.6376
0.7791	1.4667	5500	0.6465
0.7911	1.6	6000	0.6414
0.7889	1.7333	6500	0.6393

Framework versions

• Transformers 4.42.4
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1