---
tags:
- generated_from_trainer
model-index:
- name: smoll_pippa
  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)
# smoll_pippa

This model was trained from scratch on the [smoll_pippa](https://huggingface.co/datasets/Xilabs/PIPPA-alpaca/viewer/default/smol_pippa) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6736

## Model description

Dataset trained on [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6421        | 0.16  | 50   | 1.6217          |
| 1.6288        | 0.31  | 100  | 1.6144          |
| 1.5725        | 0.47  | 150  | 1.6102          |
| 1.5582        | 0.62  | 200  | 1.6065          |
| 1.6055        | 0.78  | 250  | 1.6051          |
| 1.5733        | 0.93  | 300  | 1.6023          |
| 1.4885        | 1.09  | 350  | 1.6130          |
| 1.484         | 1.24  | 400  | 1.6169          |
| 1.4354        | 1.4   | 450  | 1.6194          |
| 1.4427        | 1.56  | 500  | 1.6187          |
| 1.4687        | 1.71  | 550  | 1.6178          |
| 1.461         | 1.87  | 600  | 1.6174          |
| 1.327         | 2.02  | 650  | 1.6341          |
| 1.3015        | 2.18  | 700  | 1.6665          |
| 1.3328        | 2.33  | 750  | 1.6714          |
| 1.3453        | 2.49  | 800  | 1.6718          |
| 1.3458        | 2.64  | 850  | 1.6725          |
| 1.3016        | 2.8   | 900  | 1.6737          |
| 1.3018        | 2.95  | 950  | 1.6736          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0

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