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# sft-microsoft-phi2-on-5w1h_dialoges

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9556

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7037        | 0.06  | 10   | 2.6423          |
| 2.6124        | 0.13  | 20   | 2.5476          |
| 2.5616        | 0.19  | 30   | 2.3826          |
| 2.4261        | 0.26  | 40   | 2.2047          |
| 2.2963        | 0.32  | 50   | 2.0961          |
| 2.1443        | 0.39  | 60   | 2.0581          |
| 2.0962        | 0.45  | 70   | 2.0439          |
| 2.1971        | 0.51  | 80   | 2.0283          |
| 2.1223        | 0.58  | 90   | 2.0208          |
| 2.1439        | 0.64  | 100  | 2.0129          |
| 2.0427        | 0.71  | 110  | 2.0085          |
| 2.0451        | 0.77  | 120  | 2.0038          |
| 2.0802        | 0.84  | 130  | 1.9999          |
| 2.0817        | 0.9   | 140  | 1.9962          |
| 1.9756        | 0.96  | 150  | 1.9936          |
| 2.0404        | 1.03  | 160  | 1.9910          |
| 2.0434        | 1.09  | 170  | 1.9890          |
| 2.0262        | 1.16  | 180  | 1.9849          |
| 2.0608        | 1.22  | 190  | 1.9827          |
| 2.0758        | 1.29  | 200  | 1.9802          |
| 1.9757        | 1.35  | 210  | 1.9792          |
| 2.0282        | 1.41  | 220  | 1.9771          |
| 1.971         | 1.48  | 230  | 1.9748          |
| 2.0318        | 1.54  | 240  | 1.9745          |
| 1.949         | 1.61  | 250  | 1.9716          |
| 2.0788        | 1.67  | 260  | 1.9691          |
| 1.9852        | 1.74  | 270  | 1.9694          |
| 1.997         | 1.8   | 280  | 1.9691          |
| 2.0034        | 1.86  | 290  | 1.9658          |
| 2.0468        | 1.93  | 300  | 1.9657          |
| 2.048         | 1.99  | 310  | 1.9643          |
| 2.0199        | 2.06  | 320  | 1.9629          |
| 1.9784        | 2.12  | 330  | 1.9623          |
| 1.9381        | 2.19  | 340  | 1.9624          |
| 1.9785        | 2.25  | 350  | 1.9607          |
| 1.9746        | 2.31  | 360  | 1.9605          |
| 1.9843        | 2.38  | 370  | 1.9605          |
| 1.9499        | 2.44  | 380  | 1.9601          |
| 1.9955        | 2.51  | 390  | 1.9597          |
| 1.9473        | 2.57  | 400  | 1.9597          |
| 1.9988        | 2.63  | 410  | 1.9587          |
| 1.9799        | 2.7   | 420  | 1.9577          |
| 1.9199        | 2.76  | 430  | 1.9572          |
| 1.93          | 2.83  | 440  | 1.9573          |
| 1.9428        | 2.89  | 450  | 1.9574          |
| 1.9737        | 2.96  | 460  | 1.9566          |
| 1.9842        | 3.02  | 470  | 1.9560          |
| 1.975         | 3.08  | 480  | 1.9558          |
| 1.923         | 3.15  | 490  | 1.9557          |
| 1.9586        | 3.21  | 500  | 1.9556          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.1
{"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "sft-microsoft-phi2-on-5w1h_dialoges", "results": []}]}
peft safetensors generated_from_trainer base_model:microsoft/phi-2 license:mit region:us