generated_from_trainer base_model:microsoft/phi-1_5 license:other region:us
---
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi-1_5-finetuned-model-27-09
  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-model-27-09

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6331

## 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: 1
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7055        | 0.1   | 100  | 2.7007          |
| 2.5893        | 0.2   | 200  | 2.6888          |
| 2.5576        | 0.3   | 300  | 2.6736          |
| 2.5077        | 0.4   | 400  | 2.6646          |
| 2.5321        | 0.5   | 500  | 2.6513          |
| 2.5628        | 0.6   | 600  | 2.6424          |
| 2.4889        | 0.7   | 700  | 2.6393          |
| 2.5107        | 0.8   | 800  | 2.6347          |
| 2.4853        | 0.9   | 900  | 2.6333          |
| 2.4911        | 1.0   | 1000 | 2.6331          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
