---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google/flan-t5-large
metrics:
- rouge
model-index:
- name: flan-t5-large-peft-combinedhub
  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. -->

# flan-t5-large-peft-combinedhub

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7588
- Rouge1: 43.5001
- Rouge2: 17.8611
- Rougel: 31.5148
- Rougelsum: 40.2359
- Gen Len: 98.7718

## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 1.9097        | 1.0   | 2812 | 1.7698          | 43.3373 | 17.6766 | 31.4769 | 40.0561   | 97.4492  |
| 1.8901        | 2.0   | 5624 | 1.7603          | 43.4367 | 17.8114 | 31.5721 | 40.1962   | 100.2230 |
| 1.8854        | 3.0   | 8436 | 1.7588          | 43.5001 | 17.8611 | 31.5148 | 40.2359   | 98.7718  |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2