---
license: apache-2.0
base_model: google/flan-t5-xl
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: flan-t5-xl-clickbait-spoilering
  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-xl-clickbait-spoilering

This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1774
- Rouge1: 0.4805
- Rouge2: 0.3398
- Rougel: 0.4696
- Bleu: 0.3462
- Gen Len: 24.2312

## 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: 0.0003
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-------:|
| 0.1299        | 1.0   | 3200  | 0.1556          | 0.3671 | 0.2366 | 0.3594 | 0.1378 | 41.9787 |
| 0.0869        | 2.0   | 6400  | 0.1367          | 0.4271 | 0.2860 | 0.4177 | 0.2620 | 23.4587 |
| 0.0594        | 3.0   | 9600  | 0.1442          | 0.4436 | 0.3015 | 0.4321 | 0.2795 | 24.6212 |
| 0.0196        | 4.0   | 12800 | 0.1555          | 0.4378 | 0.3007 | 0.4239 | 0.2425 | 32.0875 |
| 0.0186        | 5.0   | 16000 | 0.1655          | 0.4565 | 0.3164 | 0.4441 | 0.2904 | 26.15   |
| 0.0032        | 6.0   | 19200 | 0.1774          | 0.4805 | 0.3398 | 0.4696 | 0.3462 | 24.2312 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0