---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: 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. -->

# out

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9839

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 20

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 2.5886        | 0.4889  | 22   | 2.6622          |
| 2.6172        | 0.9778  | 44   | 2.5162          |
| 2.502         | 1.4667  | 66   | 2.3493          |
| 2.031         | 1.9556  | 88   | 2.2040          |
| 2.1055        | 2.4444  | 110  | 2.0898          |
| 2.0684        | 2.9333  | 132  | 2.0072          |
| 1.7919        | 3.4222  | 154  | 1.9535          |
| 1.608         | 3.9111  | 176  | 1.9187          |
| 1.7458        | 4.4     | 198  | 1.9064          |
| 1.7142        | 4.8889  | 220  | 1.8939          |
| 1.7855        | 5.3778  | 242  | 1.8945          |
| 1.6425        | 5.8667  | 264  | 1.8936          |
| 1.6711        | 6.3556  | 286  | 1.8951          |
| 1.6882        | 6.8444  | 308  | 1.9007          |
| 1.4663        | 7.3333  | 330  | 1.9092          |
| 1.6227        | 7.8222  | 352  | 1.9037          |
| 1.4768        | 8.3111  | 374  | 1.9042          |
| 1.5643        | 8.8     | 396  | 1.9142          |
| 1.4109        | 9.2889  | 418  | 1.9128          |
| 1.5431        | 9.7778  | 440  | 1.9283          |
| 1.5034        | 10.2667 | 462  | 1.9184          |
| 1.3418        | 10.7556 | 484  | 1.9188          |
| 1.5773        | 11.2444 | 506  | 1.9224          |
| 1.4452        | 11.7333 | 528  | 1.9315          |
| 1.3154        | 12.2222 | 550  | 1.9313          |
| 1.3509        | 12.7111 | 572  | 1.9380          |
| 1.3372        | 13.2    | 594  | 1.9430          |
| 1.3439        | 13.6889 | 616  | 1.9436          |
| 1.2385        | 14.1778 | 638  | 1.9430          |
| 1.2669        | 14.6667 | 660  | 1.9453          |
| 1.2923        | 15.1556 | 682  | 1.9504          |
| 1.1558        | 15.6444 | 704  | 1.9531          |
| 1.3123        | 16.1333 | 726  | 1.9582          |
| 1.2309        | 16.6222 | 748  | 1.9588          |
| 1.1934        | 17.1111 | 770  | 1.9617          |
| 1.1893        | 17.6    | 792  | 1.9639          |
| 1.1561        | 18.0889 | 814  | 1.9662          |
| 1.244         | 18.5778 | 836  | 1.9749          |
| 1.1299        | 19.0667 | 858  | 1.9799          |
| 1.1213        | 19.5556 | 880  | 1.9839          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.0.1+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1