---
base_model: microsoft/phi-2
datasets:
- generator
library_name: peft
license: mit
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: phi-2-sft-openhermes-128k-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-2-sft-openhermes-128k-v2

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0663
- Model Preparation Time: 0.0259

## 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: 1.5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time |
|:-------------:|:------:|:----:|:---------------:|:----------------------:|
| 1.0842        | 0.0809 | 200  | 1.0744          | 0.0259                 |
| 1.0767        | 0.1617 | 400  | 1.0724          | 0.0259                 |
| 1.0997        | 0.2426 | 600  | 1.0716          | 0.0259                 |
| 1.0758        | 0.3234 | 800  | 1.0707          | 0.0259                 |
| 1.0949        | 0.4043 | 1000 | 1.0697          | 0.0259                 |
| 1.0892        | 0.4851 | 1200 | 1.0687          | 0.0259                 |
| 1.0876        | 0.5660 | 1400 | 1.0682          | 0.0259                 |
| 1.0873        | 0.6469 | 1600 | 1.0676          | 0.0259                 |
| 1.0679        | 0.7277 | 1800 | 1.0671          | 0.0259                 |
| 1.0802        | 0.8086 | 2000 | 1.0669          | 0.0259                 |
| 1.0823        | 0.8894 | 2200 | 1.0667          | 0.0259                 |
| 1.0812        | 0.9703 | 2400 | 1.0663          | 0.0259                 |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1