---
license: apache-2.0
tags:
- simplification
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: flan-t5-base-finetuned-pwkp
  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-base-finetuned-pwkp

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9315
- Sacrebleu: 41.2105

## 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: 5.6e-05
- train_batch_size: 30
- eval_batch_size: 30
- 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 | Sacrebleu |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 1.0683        | 1.0   | 3421  | 0.9984          | 40.9399   |
| 0.9748        | 2.0   | 6842  | 0.9584          | 41.0858   |
| 0.9279        | 3.0   | 10263 | 0.9433          | 41.1863   |
| 0.9025        | 4.0   | 13684 | 0.9315          | 41.2105   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2