hubert_mosa_finetuned

This model is a fine-tuned version of omarxadel/hubert-large-arabic-egyptian on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9920
• Accuracy: 0.4728

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
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	104	1.0953	0.4022
No log	2.0	208	1.0547	0.4348
No log	3.0	312	0.9920	0.4728
No log	4.0	416	1.0160	0.4457
1.0478	4.9565	515	1.0006	0.4457

Framework versions

• Transformers 4.47.0.dev0
• Pytorch 2.5.1
• Datasets 3.1.1.dev0
• Tokenizers 0.20.3