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

# train-dir

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: 2.6200

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.7486        | 0.0190 | 25   | 3.4551          |
| 3.4581        | 0.0379 | 50   | 3.2213          |
| 3.239         | 0.0569 | 75   | 3.0629          |
| 3.1169        | 0.0758 | 100  | 2.9433          |
| 2.9742        | 0.0948 | 125  | 2.8331          |
| 2.8096        | 0.1137 | 150  | 2.7640          |
| 2.7135        | 0.1327 | 175  | 2.7206          |
| 2.7755        | 0.1516 | 200  | 2.6963          |
| 2.7801        | 0.1706 | 225  | 2.6765          |
| 2.7129        | 0.1895 | 250  | 2.6682          |
| 2.7635        | 0.2085 | 275  | 2.6622          |
| 2.7921        | 0.2274 | 300  | 2.6552          |
| 2.7238        | 0.2464 | 325  | 2.6459          |
| 2.6943        | 0.2654 | 350  | 2.6383          |
| 2.6689        | 0.2843 | 375  | 2.6321          |
| 2.7476        | 0.3033 | 400  | 2.6276          |
| 2.6384        | 0.3222 | 425  | 2.6254          |
| 2.7073        | 0.3412 | 450  | 2.6211          |
| 2.6845        | 0.3601 | 475  | 2.6210          |
| 2.7525        | 0.3791 | 500  | 2.6200          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0