---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: phi2-dolly-sum-finetune
  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. -->

# phi2-dolly-sum-finetune

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0505

## 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: 2.5e-05
- train_batch_size: 2
- 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_steps: 1
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9329        | 0.05  | 25   | 2.4178          |
| 2.4832        | 0.09  | 50   | 2.1541          |
| 2.1688        | 0.14  | 75   | 2.0774          |
| 2.2247        | 0.18  | 100  | 2.0725          |
| 2.225         | 0.23  | 125  | 2.0652          |
| 2.2217        | 0.27  | 150  | 2.0635          |
| 2.2282        | 0.32  | 175  | 2.0611          |
| 2.1104        | 0.37  | 200  | 2.0608          |
| 2.1583        | 0.41  | 225  | 2.0569          |
| 2.1197        | 0.46  | 250  | 2.0565          |
| 2.1257        | 0.5   | 275  | 2.0559          |
| 2.0018        | 0.55  | 300  | 2.0512          |
| 2.0203        | 0.6   | 325  | 2.0546          |
| 2.1332        | 0.64  | 350  | 2.0519          |
| 2.1585        | 0.69  | 375  | 2.0503          |
| 2.1287        | 0.73  | 400  | 2.0510          |
| 2.1431        | 0.78  | 425  | 2.0515          |
| 2.1601        | 0.82  | 450  | 2.0522          |
| 2.088         | 0.87  | 475  | 2.0481          |
| 2.0462        | 0.92  | 500  | 2.0505          |


### Framework versions

- PEFT 0.8.1
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1