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phi2-QA-Arabic-phi-darebah-arabicandeng
dalyaff/phi2-QA-Arabic-phi-darebah-arabicandeng
phi2-QA-Arabic-phi-darebah-arabicandeng is a machine learning model from dalyaff. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Model type
- phi
- Access
- Public
- Created
- Jan 28, 2024
- Updated
- Jan 28, 2024
- SHA
- 9ae95d6f
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
phi-2
This model is a fine-tuned version of microsoftl on the dalyaff/darebah-2K dataset. It achieves the following results on the evaluation set:
- Loss: 0.5861
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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2333 | 0.44 | 100 | 1.1475 |
| 1.0155 | 0.89 | 200 | 0.9995 |
| 0.9331 | 1.33 | 300 | 0.9305 |
| 0.8308 | 1.78 | 400 | 0.8755 |
| 0.7955 | 2.22 | 500 | 0.8337 |
| 0.7788 | 2.67 | 600 | 0.7974 |
| 0.7205 | 3.11 | 700 | 0.7685 |
| 0.7588 | 3.56 | 800 | 0.7405 |
| 0.7154 | 4.0 | 900 | 0.7193 |
| 0.6913 | 4.44 | 1000 | 0.7022 |
| 0.6049 | 4.89 | 1100 | 0.6864 |
| 0.6546 | 5.33 | 1200 | 0.6672 |
| 0.6406 | 5.78 | 1300 | 0.6576 |
| 0.6237 | 6.22 | 1400 | 0.6433 |
| 0.6016 | 6.67 | 1500 | 0.6313 |
| 0.5746 | 7.11 | 1600 | 0.6263 |
| 0.5786 | 7.56 | 1700 | 0.6156 |
| 0.592 | 8.0 | 1800 | 0.6087 |
| 0.5908 | 8.44 | 1900 | 0.6030 |
| 0.598 | 8.89 | 2000 | 0.5980 |
| 0.5998 | 9.33 | 2100 | 0.5937 |
| 0.5859 | 9.78 | 2200 | 0.5909 |
| 0.5767 | 10.22 | 2300 | 0.5888 |
| 0.5786 | 10.67 | 2400 | 0.5872 |
| 0.5911 | 11.11 | 2500 | 0.5861 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- peft
- Type
- phi
- Languages
- ar
- Created
- Jan 28, 2024
- Updated
- Jan 28, 2024