metadata
language:
- ar
library_name: peft
tags:
- generated_from_trainer
datasets:
- dalyaff/darebah
base_model: microsoft/phi-2
model-index:
- name: phi-2
results: []
phi-2
This model is a fine-tuned version of microsoftl on the dalyaff/darebah dataset. It achieves the following results on the evaluation set:
- Loss: 0.7781
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 |
|---|---|---|---|
| 1.1114 | 0.89 | 100 | 1.0073 |
| 0.8772 | 1.78 | 200 | 0.8791 |
| 0.7638 | 2.67 | 300 | 0.8327 |
| 0.7518 | 3.56 | 400 | 0.8077 |
| 0.6624 | 4.44 | 500 | 0.7896 |
| 0.6386 | 5.33 | 600 | 0.7826 |
| 0.6161 | 6.22 | 700 | 0.7677 |
| 0.6053 | 7.11 | 800 | 0.7669 |
| 0.5725 | 8.0 | 900 | 0.7640 |
| 0.5569 | 8.89 | 1000 | 0.7705 |
| 0.5303 | 9.78 | 1100 | 0.7691 |
| 0.546 | 10.67 | 1200 | 0.7671 |
| 0.5331 | 11.56 | 1300 | 0.7696 |
| 0.5142 | 12.44 | 1400 | 0.7670 |
| 0.5037 | 13.33 | 1500 | 0.7713 |
| 0.4938 | 14.22 | 1600 | 0.7686 |
| 0.4879 | 15.11 | 1700 | 0.7733 |
| 0.4743 | 16.0 | 1800 | 0.7730 |
| 0.4705 | 16.89 | 1900 | 0.7739 |
| 0.4942 | 17.78 | 2000 | 0.7770 |
| 0.4669 | 18.67 | 2100 | 0.7709 |
| 0.462 | 19.56 | 2200 | 0.7788 |
| 0.4667 | 20.44 | 2300 | 0.7783 |
| 0.4638 | 21.33 | 2400 | 0.7754 |
| 0.4512 | 22.22 | 2500 | 0.7781 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0