---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: microsoft/phi-1_5
model-index:
- name: phi-1_5-finetuned-question-generation
  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. -->

# phi-1_5-finetuned-question-generation

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9079

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0206        | 0.28  | 100  | 2.8708          |
| 2.8007        | 0.56  | 200  | 2.6294          |
| 2.5551        | 0.85  | 300  | 2.4552          |
| 2.3554        | 1.13  | 400  | 2.2903          |
| 2.2233        | 1.41  | 500  | 2.1771          |
| 2.1114        | 1.69  | 600  | 2.0850          |
| 2.0211        | 1.97  | 700  | 2.0163          |
| 1.8995        | 2.25  | 800  | 1.9635          |
| 1.835         | 2.54  | 900  | 1.9226          |
| 1.81          | 2.82  | 1000 | 1.9079          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2