---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-1_5
model-index:
- name: phi-1_5-finetuned-addition-v2
  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-addition-v2

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: 3.9705

## 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: 0.0002
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.4643        | 0.03  | 100  | 4.1741          |
| 4.1499        | 0.06  | 200  | 4.1183          |
| 4.1148        | 0.09  | 300  | 4.1006          |
| 4.0741        | 0.12  | 400  | 4.0455          |
| 4.0357        | 0.15  | 500  | 4.0199          |
| 4.0217        | 0.18  | 600  | 3.9980          |
| 3.9901        | 0.21  | 700  | 3.9866          |
| 3.9824        | 0.24  | 800  | 3.9775          |
| 3.9837        | 0.27  | 900  | 3.9710          |
| 3.9651        | 0.3   | 1000 | 3.9705          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2