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

# final-checkpoint

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: 1.3170

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6634        | 0.05  | 25   | 1.3938          |
| 1.1888        | 0.1   | 50   | 1.3917          |
| 1.4465        | 0.15  | 75   | 1.3522          |
| 1.205         | 0.2   | 100  | 1.3718          |
| 1.4403        | 0.25  | 125  | 1.3429          |
| 1.1372        | 0.3   | 150  | 1.3639          |
| 1.4064        | 0.35  | 175  | 1.3408          |
| 1.1466        | 0.4   | 200  | 1.3473          |
| 1.4435        | 0.45  | 225  | 1.3355          |
| 1.2273        | 0.5   | 250  | 1.3414          |
| 1.4578        | 0.55  | 275  | 1.3364          |
| 1.1637        | 0.6   | 300  | 1.3362          |
| 1.429         | 0.65  | 325  | 1.3305          |
| 1.2027        | 0.7   | 350  | 1.3306          |
| 1.3971        | 0.75  | 375  | 1.3287          |
| 1.184         | 0.8   | 400  | 1.3312          |
| 1.4383        | 0.85  | 425  | 1.3262          |
| 1.1996        | 0.9   | 450  | 1.3271          |
| 1.448         | 0.95  | 475  | 1.3250          |
| 1.1902        | 1.0   | 500  | 1.3277          |
| 1.4134        | 1.05  | 525  | 1.3237          |
| 1.1459        | 1.1   | 550  | 1.3263          |
| 1.3473        | 1.15  | 575  | 1.3225          |
| 1.1879        | 1.2   | 600  | 1.3232          |
| 1.3742        | 1.25  | 625  | 1.3217          |
| 1.1129        | 1.3   | 650  | 1.3225          |
| 1.3756        | 1.35  | 675  | 1.3201          |
| 1.1268        | 1.4   | 700  | 1.3216          |
| 1.4186        | 1.45  | 725  | 1.3200          |
| 1.1602        | 1.5   | 750  | 1.3196          |
| 1.4368        | 1.55  | 775  | 1.3189          |
| 1.1397        | 1.6   | 800  | 1.3193          |
| 1.3991        | 1.65  | 825  | 1.3186          |
| 1.1293        | 1.7   | 850  | 1.3190          |
| 1.4509        | 1.75  | 875  | 1.3177          |
| 1.1433        | 1.8   | 900  | 1.3175          |
| 1.3638        | 1.85  | 925  | 1.3170          |
| 1.144         | 1.9   | 950  | 1.3172          |
| 1.3376        | 1.95  | 975  | 1.3170          |
| 1.1152        | 2.0   | 1000 | 1.3170          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.0