---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
base_model: google/flan-t5-xl
model-index:
- name: t5-xl-v2
  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. -->

# t5-xl-v2

This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8350
- Rouge1: 29.9535
- Rouge2: 11.4157
- Rougel: 21.3830
- Rougelsum: 21.3793

## 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: 4e-05
- train_batch_size: 24
- eval_batch_size: 32
- seed: 7
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.1401        | 0.34  | 300  | 1.8438          | 30.0703 | 11.5959 | 21.6066 | 21.6053   |
| 2.13          | 0.67  | 600  | 1.8369          | 29.9460 | 11.6006 | 21.6609 | 21.6625   |
| 2.1364        | 1.01  | 900  | 1.8262          | 30.2597 | 11.8455 | 21.7202 | 21.7212   |
| 2.1301        | 1.35  | 1200 | 1.8301          | 30.1492 | 11.6922 | 21.6115 | 21.6151   |
| 2.146         | 1.68  | 1500 | 1.8350          | 29.9535 | 11.4157 | 21.3830 | 21.3793   |


### Framework versions

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