---
base_model: microsoft/phi-2
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: peft-dialogue-summary-training-1725678440
  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. -->

# peft-dialogue-summary-training-1725678440

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: 1.3407

## 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: 200

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.667         | 0.0500 | 25   | 1.4002          |
| 1.193         | 0.1001 | 50   | 1.3815          |
| 1.4485        | 0.1501 | 75   | 1.3547          |
| 1.207         | 0.2001 | 100  | 1.3567          |
| 1.4411        | 0.2501 | 125  | 1.3465          |
| 1.1428        | 0.3002 | 150  | 1.3491          |
| 1.4025        | 0.3502 | 175  | 1.3419          |
| 1.1534        | 0.4002 | 200  | 1.3407          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1