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---
base_model: microsoft/Phi-3-mini-4k-instruct
library_name: peft
license: mit
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: question-generator
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. -->
# question-generator
This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4475
## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8852 | 0.08 | 50 | 1.7072 |
| 1.6036 | 0.16 | 100 | 1.4856 |
| 1.5186 | 0.24 | 150 | 1.4662 |
| 1.4822 | 0.32 | 200 | 1.4603 |
| 1.5035 | 0.4 | 250 | 1.4578 |
| 1.4813 | 0.48 | 300 | 1.4558 |
| 1.4878 | 0.56 | 350 | 1.4534 |
| 1.4765 | 0.64 | 400 | 1.4523 |
| 1.4803 | 0.72 | 450 | 1.4485 |
| 1.4925 | 0.8 | 500 | 1.4478 |
| 1.49 | 0.88 | 550 | 1.4467 |
| 1.4888 | 0.96 | 600 | 1.4461 |
| 1.4732 | 1.04 | 650 | 1.4470 |
| 1.4677 | 1.12 | 700 | 1.4476 |
| 1.4402 | 1.2 | 750 | 1.4475 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1 |