---
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi1_5_alpaca_Qlora
  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. -->

# phi1_5_alpaca_Qlora

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9717

## 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: 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
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1046        | 0.16  | 1000 | 1.1014          |
| 0.9635        | 0.24  | 1500 | 1.0126          |
| 1.022         | 0.31  | 2000 | 0.9848          |
| 1.0402        | 0.39  | 2500 | 0.9818          |
| 0.9899        | 0.47  | 3000 | 0.9766          |
| 1.0379        | 0.55  | 3500 | 0.9752          |
| 1.0046        | 0.63  | 4000 | 0.9744          |
| 1.0452        | 0.71  | 4500 | 0.9738          |
| 1.0428        | 0.79  | 5000 | 0.9732          |
| 0.9916        | 0.86  | 5500 | 0.9721          |
| 1.0083        | 0.94  | 6000 | 0.9717          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0