---
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi-1_5-finetuned-model-15-10
  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-15-10

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: 2.7222

## 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: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7877        | 0.8   | 100  | 2.7425          |
| 2.6025        | 1.6   | 200  | 2.6925          |
| 2.5405        | 2.4   | 300  | 2.6806          |
| 2.4735        | 3.2   | 400  | 2.6880          |
| 2.4282        | 4.0   | 500  | 2.6807          |
| 2.3467        | 4.8   | 600  | 2.6904          |
| 2.2924        | 5.6   | 700  | 2.7146          |
| 2.2779        | 6.4   | 800  | 2.7179          |
| 2.249         | 7.2   | 900  | 2.7212          |
| 2.2317        | 8.0   | 1000 | 2.7222          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1