xlm-roberta-base-finetuned-panx-ar-QLORA

This model is a fine-tuned version of tner/xlm-roberta-base-panx-dataset-ar on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1945
• Accuracy: 0.9534
• F1: 0.8911
• Precision: 0.8853
• Recall: 0.8970

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	0.9984	312	0.1945	0.9534	0.8911	0.8853	0.8970

Framework versions

• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1