---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: flan-t5-base-eng-hwp
  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-eng-hwp

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5058
- Bleu: 4.9532
- Gen Len: 18.8709

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 420  | 1.6158          | 3.6321 | 18.892  |
| 2.1318        | 2.0   | 840  | 1.4711          | 4.19   | 18.8743 |
| 1.5146        | 3.0   | 1260 | 1.4193          | 4.3921 | 18.8608 |
| 1.2936        | 4.0   | 1680 | 1.3936          | 4.5268 | 18.8363 |
| 1.1403        | 5.0   | 2100 | 1.4030          | 4.6813 | 18.8608 |
| 1.0284        | 6.0   | 2520 | 1.4078          | 4.8234 | 18.8684 |
| 1.0284        | 7.0   | 2940 | 1.4192          | 4.8126 | 18.8709 |
| 0.9196        | 8.0   | 3360 | 1.4303          | 4.8599 | 18.87   |
| 0.8459        | 9.0   | 3780 | 1.4506          | 4.7802 | 18.8599 |
| 0.7884        | 10.0  | 4200 | 1.4757          | 4.8895 | 18.8785 |
| 0.739         | 11.0  | 4620 | 1.4945          | 4.9126 | 18.8759 |
| 0.7083        | 12.0  | 5040 | 1.5058          | 4.9532 | 18.8709 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1