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

## Training Hardware

This model was trained using Intel GPU:
- Intel(R) Data Center GPU Max 1100
- CPU: Intel(R) Xeon(R) Platinum 8480+
  
# phiverse-1_5-lora-tuned-dolly.sft

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the dolly 15k dataset from databricks ([databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k)).
It achieves the following results on the evaluation set:
- Loss: 2.4899


## Intended uses
Text generation tasks including chatbots, content generation, and various other NLP applications.



## 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: 296

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.7682        | 1.6129 | 100  | 2.5802          |
| 2.5575        | 3.2258 | 200  | 2.4899          |


### 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