---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google/flan-t5-base
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the [BYC-Sophie/samsum-chatgpt-summary](https://huggingface.co/datasets/BYC-Sophie/samsum-chatgpt-summary) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8634

## Model description

Fine-tuned FLAN-T5 on a derivative of the `samsum` dataset.

## Intended uses & limitations

Summarisation of dialogue text.

## Training and evaluation data

Fine tuned with the `BYC-Sophie/samsum-chatgpt-summary` dataset, which has improved summaries generated by ChatGPT.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7323        | 1.0   | 1842 | 1.8218          |
| 1.6814        | 2.0   | 3684 | 1.8469          |
| 1.6481        | 3.0   | 5526 | 1.8574          |
| 1.6333        | 4.0   | 7368 | 1.8634          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2