---
license: other
base_model: typeof/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi-kelm-out
  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-kelm-out

This model is a fine-tuned version of [typeof/phi-1_5](https://huggingface.co/typeof/phi-1_5) on the Kelm Tiny dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0079

## 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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 7.8236        | 0.0   | 1     | 5.4714          |
| 4.156         | 0.1   | 995   | 4.0834          |
| 1.9418        | 0.2   | 1990  | 2.8447          |
| 1.8908        | 0.3   | 2985  | 2.2757          |
| 0.7631        | 0.4   | 3980  | 1.8792          |
| 1.0878        | 0.5   | 4975  | 1.4944          |
| 2.1561        | 0.6   | 5970  | 1.3413          |
| 0.452         | 0.7   | 6965  | 1.2682          |
| 2.1017        | 0.8   | 7960  | 1.2247          |
| 0.8352        | 0.9   | 8955  | 1.1999          |
| 5.1122        | 1.0   | 9950  | 1.1778          |
| 1.6136        | 1.1   | 10945 | 1.1515          |
| 2.3537        | 1.2   | 11940 | 1.1364          |
| 0.2987        | 1.3   | 12935 | 1.1391          |
| 0.747         | 1.4   | 13930 | 1.0977          |
| 0.0025        | 1.5   | 14925 | 1.0917          |
| 0.6355        | 1.6   | 15920 | 1.0630          |
| 0.5881        | 1.7   | 16915 | 1.0565          |
| 0.3181        | 1.8   | 17910 | 1.0568          |
| 0.9256        | 1.9   | 18905 | 1.0623          |
| 4.5318        | 2.0   | 19900 | 1.0678          |
| 0.8736        | 2.1   | 20895 | 1.0645          |
| 2.2079        | 2.2   | 21890 | 1.0474          |
| 2.7407        | 2.3   | 22885 | 1.0438          |
| 2.2308        | 2.4   | 23880 | 1.0485          |
| 0.4307        | 2.5   | 24875 | 1.0235          |
| 0.2956        | 2.6   | 25870 | 1.0201          |
| 0.203         | 2.7   | 26865 | 1.0200          |
| 2.2452        | 2.8   | 27860 | 1.0243          |
| 0.942         | 2.9   | 28855 | 1.0289          |
| 0.0069        | 3.0   | 29850 | 1.0181          |
| 3.2121        | 3.1   | 30845 | 1.0235          |
| 1.4533        | 3.2   | 31840 | 1.0127          |
| 0.208         | 3.3   | 32835 | 1.0110          |
| 0.1379        | 3.4   | 33830 | 1.0126          |
| 0.1991        | 3.5   | 34825 | 1.0103          |
| 1.3019        | 3.6   | 35820 | 1.0154          |
| 0.6602        | 3.7   | 36815 | 1.0178          |
| 0.5271        | 3.8   | 37810 | 1.0087          |
| 0.3131        | 3.9   | 38805 | 1.0092          |
| 3.6821        | 4.0   | 39800 | 1.0094          |
| 0.3724        | 4.1   | 40795 | 1.0093          |
| 0.0704        | 4.2   | 41790 | 1.0081          |
| 0.1209        | 4.3   | 42785 | 1.0108          |
| 0.9807        | 4.4   | 43780 | 1.0072          |
| 0.1392        | 4.5   | 44775 | 1.0078          |
| 0.2561        | 4.6   | 45770 | 1.0078          |
| 0.1533        | 4.7   | 46765 | 1.0089          |
| 0.4302        | 4.8   | 47760 | 1.0079          |
| 1.3744        | 4.9   | 48755 | 1.0074          |
| 0.8572        | 5.0   | 49750 | 1.0079          |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1