---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
- dolly
- ipex
- max series gpu
base_model: microsoft/phi-1_5
datasets:
- generator
model-index:
- name: phi-1_5-lora-tuned-sft-dolly_hitesh
  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-lora-tuned-sft-dolly_hitesh

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3164

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Hardware
Trained model on Intel Max 1550 GPU

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 1480

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 2.8614        | 1.6129  | 100  | 2.6779          |
| 2.6089        | 3.2258  | 200  | 2.5131          |
| 2.5117        | 4.8387  | 300  | 2.4545          |
| 2.4636        | 6.4516  | 400  | 2.4229          |
| 2.4367        | 8.0645  | 500  | 2.3990          |
| 2.4091        | 9.6774  | 600  | 2.3761          |
| 2.389         | 11.2903 | 700  | 2.3553          |
| 2.3639        | 12.9032 | 800  | 2.3394          |
| 2.3541        | 14.5161 | 900  | 2.3299          |
| 2.3418        | 16.1290 | 1000 | 2.3241          |
| 2.3395        | 17.7419 | 1100 | 2.3209          |
| 2.3319        | 19.3548 | 1200 | 2.3186          |
| 2.3363        | 20.9677 | 1300 | 2.3171          |
| 2.3327        | 22.5806 | 1400 | 2.3164          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0.post0+cxx11.abi
- Datasets 2.19.1
- Tokenizers 0.19.1