---
license: mit
base_model: microsoft/phi-1_5
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: phi-1_5-sft-openhermes-v2
  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-sft-openhermes-v2

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1750

## 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: 8e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.7865        | 0.0831 | 275  | 1.4033          |
| 1.3614        | 0.1663 | 550  | 1.3218          |
| 1.2986        | 0.2494 | 825  | 1.2788          |
| 1.2667        | 0.3325 | 1100 | 1.2531          |
| 1.2405        | 0.4157 | 1375 | 1.2376          |
| 1.2239        | 0.4988 | 1650 | 1.2237          |
| 1.2078        | 0.5819 | 1925 | 1.2122          |
| 1.2114        | 0.6651 | 2200 | 1.2005          |
| 1.2028        | 0.7482 | 2475 | 1.1915          |
| 1.173         | 0.8313 | 2750 | 1.1833          |
| 1.1782        | 0.9144 | 3025 | 1.1776          |
| 1.1805        | 0.9976 | 3300 | 1.1720          |
| 1.0112        | 1.0807 | 3575 | 1.1817          |
| 0.9988        | 1.1638 | 3850 | 1.1791          |
| 0.9919        | 1.2470 | 4125 | 1.1786          |
| 0.9886        | 1.3301 | 4400 | 1.1768          |
| 0.9904        | 1.4132 | 4675 | 1.1763          |
| 1.001         | 1.4964 | 4950 | 1.1756          |
| 0.9979        | 1.5795 | 5225 | 1.1751          |
| 0.9858        | 1.6626 | 5500 | 1.1750          |
| 0.9975        | 1.7458 | 5775 | 1.1750          |
| 0.9924        | 1.8289 | 6050 | 1.1750          |
| 0.9978        | 1.9120 | 6325 | 1.1750          |
| 0.9892        | 1.9952 | 6600 | 1.1750          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1