---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: customer_care_dialog_summary_phi_2
  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. -->

# customer_care_dialog_summary_phi_2

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: 1.6666

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0697        | 1.0   | 110  | 1.7888          |
| 1.7135        | 2.0   | 220  | 1.7248          |
| 1.6432        | 3.0   | 330  | 1.7010          |
| 1.6017        | 4.0   | 440  | 1.6930          |
| 1.5717        | 5.0   | 550  | 1.6772          |
| 1.5476        | 6.0   | 660  | 1.6707          |
| 1.525         | 7.0   | 770  | 1.6555          |
| 1.5091        | 8.0   | 880  | 1.6692          |
| 1.4935        | 9.0   | 990  | 1.6602          |
| 1.4816        | 10.0  | 1100 | 1.6666          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0