File size: 2,639 Bytes
fa70a0e 6e0b877 fa70a0e 6e0b877 fa70a0e 6e0b877 fa70a0e 6e0b877 fa70a0e 5114e71 fa70a0e 5114e71 fa70a0e 5114e71 fa70a0e 5114e71 fa70a0e 5114e71 fa70a0e 5114e71 fa70a0e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 |
---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: phi2-QA-Arabic-phi
results: []
---
<!-- 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. -->
# phi2-QA-Arabic-phi
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7778
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1134 | 0.89 | 100 | 1.0092 |
| 0.8768 | 1.78 | 200 | 0.8800 |
| 0.7644 | 2.67 | 300 | 0.8329 |
| 0.7516 | 3.56 | 400 | 0.8081 |
| 0.6618 | 4.44 | 500 | 0.7909 |
| 0.6373 | 5.33 | 600 | 0.7845 |
| 0.6154 | 6.22 | 700 | 0.7688 |
| 0.6056 | 7.11 | 800 | 0.7716 |
| 0.5719 | 8.0 | 900 | 0.7662 |
| 0.5575 | 8.89 | 1000 | 0.7700 |
| 0.5302 | 9.78 | 1100 | 0.7689 |
| 0.5465 | 10.67 | 1200 | 0.7688 |
| 0.5321 | 11.56 | 1300 | 0.7719 |
| 0.5141 | 12.44 | 1400 | 0.7684 |
| 0.5033 | 13.33 | 1500 | 0.7716 |
| 0.4931 | 14.22 | 1600 | 0.7664 |
| 0.4882 | 15.11 | 1700 | 0.7739 |
| 0.4742 | 16.0 | 1800 | 0.7757 |
| 0.4701 | 16.89 | 1900 | 0.7717 |
| 0.4932 | 17.78 | 2000 | 0.7748 |
| 0.4665 | 18.67 | 2100 | 0.7734 |
| 0.4614 | 19.56 | 2200 | 0.7809 |
| 0.4669 | 20.44 | 2300 | 0.7793 |
| 0.4635 | 21.33 | 2400 | 0.7750 |
| 0.452 | 22.22 | 2500 | 0.7778 |
### 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 |