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--- |
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license: mit |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: microsoft/phi-2 |
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model-index: |
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- name: phi2-QA-Arabic-phi |
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results: [] |
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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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# phi2-QA-Arabic-phi |
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7778 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.1134 | 0.89 | 100 | 1.0092 | |
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| 0.8768 | 1.78 | 200 | 0.8800 | |
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| 0.7644 | 2.67 | 300 | 0.8329 | |
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| 0.7516 | 3.56 | 400 | 0.8081 | |
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| 0.6618 | 4.44 | 500 | 0.7909 | |
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| 0.6373 | 5.33 | 600 | 0.7845 | |
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| 0.6154 | 6.22 | 700 | 0.7688 | |
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| 0.6056 | 7.11 | 800 | 0.7716 | |
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| 0.5719 | 8.0 | 900 | 0.7662 | |
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| 0.5575 | 8.89 | 1000 | 0.7700 | |
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| 0.5302 | 9.78 | 1100 | 0.7689 | |
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| 0.5465 | 10.67 | 1200 | 0.7688 | |
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| 0.5321 | 11.56 | 1300 | 0.7719 | |
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| 0.5141 | 12.44 | 1400 | 0.7684 | |
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| 0.5033 | 13.33 | 1500 | 0.7716 | |
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| 0.4931 | 14.22 | 1600 | 0.7664 | |
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| 0.4882 | 15.11 | 1700 | 0.7739 | |
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| 0.4742 | 16.0 | 1800 | 0.7757 | |
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| 0.4701 | 16.89 | 1900 | 0.7717 | |
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| 0.4932 | 17.78 | 2000 | 0.7748 | |
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| 0.4665 | 18.67 | 2100 | 0.7734 | |
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| 0.4614 | 19.56 | 2200 | 0.7809 | |
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| 0.4669 | 20.44 | 2300 | 0.7793 | |
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| 0.4635 | 21.33 | 2400 | 0.7750 | |
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| 0.452 | 22.22 | 2500 | 0.7778 | |
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### Framework versions |
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- PEFT 0.7.2.dev0 |
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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 0.15.0 |
