abdulrahman-nuzha / intfloat-e5-large-v2-arabic-fp16

huggingface.co
Total runs: 11
24-hour runs: 2
7-day runs: 4
30-day runs: 2
Model's Last Updated: April 16 2025
text-classification

Introduction of intfloat-e5-large-v2-arabic-fp16

Model Details of intfloat-e5-large-v2-arabic-fp16

intfloat-e5-large-v2-arabic-fp16

This model is a fine-tuned version of intfloat/e5-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6592
  • Accuracy: 0.7391
  • Precision: 0.7362
  • Recall: 0.7391
  • F1: 0.7359
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: 64
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 128
  • optimizer: Use OptimizerNames.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: 0.3
  • num_epochs: 10
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
1.0807 0.3636 50 0.9715 0.5777 0.7072 0.5777 0.4953
0.8958 0.7273 100 0.7766 0.6836 0.6848 0.6836 0.6548
0.8091 1.0873 150 0.7413 0.6959 0.6882 0.6959 0.6763
0.76 1.4509 200 0.7037 0.7177 0.7123 0.7177 0.7075
0.7426 1.8145 250 0.7449 0.6959 0.6974 0.6959 0.6900
0.7371 2.1745 300 0.7117 0.6968 0.6983 0.6968 0.6949
0.7083 2.5382 350 0.6896 0.715 0.7152 0.715 0.7150
0.6937 2.9018 400 0.6967 0.7259 0.7289 0.7259 0.7083
0.6792 3.2618 450 0.6680 0.7341 0.7363 0.7341 0.7238
0.6646 3.6255 500 0.7275 0.69 0.7101 0.69 0.6945
0.6654 3.9891 550 0.6666 0.7309 0.7315 0.7309 0.7212
0.6065 4.3491 600 0.6592 0.7391 0.7362 0.7391 0.7359
0.6112 4.7127 650 0.6468 0.7395 0.7392 0.7395 0.7392
0.592 5.0727 700 0.6657 0.7336 0.7324 0.7336 0.7317
0.5624 5.4364 750 0.6740 0.73 0.7404 0.73 0.7306
0.5333 5.8 800 0.6732 0.7423 0.7397 0.7423 0.7404
Framework versions
  • Transformers 4.51.1
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.0
  • Tokenizers 0.21.1

Runs of abdulrahman-nuzha intfloat-e5-large-v2-arabic-fp16 on huggingface.co

11
Total runs
2
24-hour runs
4
3-day runs
4
7-day runs
2
30-day runs

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