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dalyaa
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phi2-QA-darebah-new-2400

PEFT
Safetensors
Arabic
phi
Generated from Trainer
custom_code
Model card Files Community
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Files changed (19) hide show
  1. README.md +89 -0
  2. adapter_config.json +28 -0
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README.md ADDED
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+ ---
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+ language:
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+ - ar
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - dalyaa/darebah2400
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+ base_model: microsoft/phi-2
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+ model-index:
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+ - name: phi-2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # phi-2
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+
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+ This model is a fine-tuned version of [microsoftl](https://huggingface.co/microsoftl) on the dalyaa/darebah2400 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8345
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2.5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 5
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+ - training_steps: 2500
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.1815 | 0.4 | 100 | 1.1010 |
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+ | 0.984 | 0.8 | 200 | 0.9893 |
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+ | 0.8706 | 1.2 | 300 | 0.9545 |
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+ | 0.8095 | 1.6 | 400 | 0.9203 |
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+ | 0.767 | 2.0 | 500 | 0.9030 |
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+ | 0.7439 | 2.4 | 600 | 0.8878 |
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+ | 0.7163 | 2.8 | 700 | 0.8716 |
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+ | 0.671 | 3.2 | 800 | 0.8679 |
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+ | 0.679 | 3.6 | 900 | 0.8587 |
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+ | 0.6585 | 4.0 | 1000 | 0.8586 |
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+ | 0.6528 | 4.4 | 1100 | 0.8535 |
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+ | 0.6238 | 4.8 | 1200 | 0.8501 |
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+ | 0.6041 | 5.2 | 1300 | 0.8434 |
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+ | 0.6011 | 5.6 | 1400 | 0.8471 |
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+ | 0.6386 | 6.0 | 1500 | 0.8379 |
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+ | 0.6288 | 6.4 | 1600 | 0.8374 |
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+ | 0.5823 | 6.8 | 1700 | 0.8409 |
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+ | 0.6074 | 7.2 | 1800 | 0.8363 |
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+ | 0.5944 | 7.6 | 1900 | 0.8367 |
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+ | 0.5918 | 8.0 | 2000 | 0.8412 |
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+ | 0.5931 | 8.4 | 2100 | 0.8343 |
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+ | 0.5624 | 8.8 | 2200 | 0.8363 |
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+ | 0.5709 | 9.2 | 2300 | 0.8354 |
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+ | 0.5783 | 9.6 | 2400 | 0.8354 |
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+ | 0.5933 | 10.0 | 2500 | 0.8345 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.8.2
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+ - Transformers 4.38.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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