---
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi-sft-outB
  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. -->

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# phi-sft-outB

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: 0.9402

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9855        | 0.01  | 1    | 1.1349          |
| 1.3387        | 0.2   | 18   | 1.1270          |
| 1.1906        | 0.4   | 36   | 1.0901          |
| 0.8854        | 0.6   | 54   | 1.0535          |
| 1.1896        | 0.8   | 72   | 1.0300          |
| 0.9865        | 1.0   | 90   | 1.0094          |
| 1.1497        | 1.2   | 108  | 0.9901          |
| 1.1192        | 1.4   | 126  | 0.9769          |
| 0.8953        | 1.6   | 144  | 0.9651          |
| 1.0513        | 1.81  | 162  | 0.9565          |
| 0.9776        | 2.01  | 180  | 0.9512          |
| 1.087         | 2.21  | 198  | 0.9473          |
| 1.1714        | 2.41  | 216  | 0.9443          |
| 0.8238        | 2.61  | 234  | 0.9423          |
| 1.0734        | 2.81  | 252  | 0.9413          |
| 0.8108        | 3.01  | 270  | 0.9406          |
| 1.0202        | 3.21  | 288  | 0.9403          |
| 1.134         | 3.41  | 306  | 0.9402          |
| 0.8043        | 3.61  | 324  | 0.9401          |
| 1.0807        | 3.81  | 342  | 0.9402          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0