---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: phi2-samsum
  results: []
datasets:
- samsum
---


# phi2-samsum

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the [samsum dataset](https://huggingface.co/datasets/samsum).
It achieves the following results on the evaluation set:
- Loss: 2.2606

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7371        | 0.0   | 25   | 2.5507          |
| 2.5853        | 0.01  | 50   | 2.3917          |
| 2.3176        | 0.01  | 75   | 2.3258          |
| 2.3459        | 0.01  | 100  | 2.3066          |
| 2.3003        | 0.02  | 125  | 2.2957          |
| 2.2767        | 0.02  | 150  | 2.2883          |
| 2.2637        | 0.02  | 175  | 2.2835          |
| 2.3387        | 0.03  | 200  | 2.2787          |
| 2.3151        | 0.03  | 225  | 2.2759          |
| 2.1807        | 0.03  | 250  | 2.2767          |
| 2.4122        | 0.04  | 275  | 2.2703          |
| 2.139         | 0.04  | 300  | 2.2680          |
| 2.3887        | 0.04  | 325  | 2.2664          |
| 2.2124        | 0.05  | 350  | 2.2648          |
| 2.2271        | 0.05  | 375  | 2.2649          |
| 2.3335        | 0.05  | 400  | 2.2634          |
| 2.2411        | 0.06  | 425  | 2.2628          |
| 2.4075        | 0.06  | 450  | 2.2619          |
| 2.3136        | 0.06  | 475  | 2.2615          |
| 2.2328        | 0.07  | 500  | 2.2606          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0