---
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: 1.6073
- Bleu: 4.9074
- Gen Len: 18.8338

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 420  | 1.6234          | 3.464  | 18.8    |
| 2.1287        | 2.0   | 840  | 1.4706          | 4.1392 | 18.8084 |
| 1.5094        | 3.0   | 1260 | 1.4294          | 4.3477 | 18.7924 |
| 1.2917        | 4.0   | 1680 | 1.4015          | 4.5189 | 18.8068 |
| 1.1347        | 5.0   | 2100 | 1.3900          | 4.697  | 18.8236 |
| 1.012         | 6.0   | 2520 | 1.4038          | 4.7522 | 18.8051 |
| 1.012         | 7.0   | 2940 | 1.4086          | 4.8399 | 18.8177 |
| 0.901         | 8.0   | 3360 | 1.4453          | 4.8191 | 18.8253 |
| 0.818         | 9.0   | 3780 | 1.4678          | 4.8245 | 18.8203 |
| 0.7511        | 10.0  | 4200 | 1.4922          | 4.951  | 18.8574 |
| 0.693         | 11.0  | 4620 | 1.5186          | 4.9174 | 18.8363 |
| 0.6462        | 12.0  | 5040 | 1.5487          | 5.0009 | 18.8338 |
| 0.6462        | 13.0  | 5460 | 1.5651          | 5.021  | 18.8295 |
| 0.6062        | 14.0  | 5880 | 1.5942          | 4.8801 | 18.8245 |
| 0.5781        | 15.0  | 6300 | 1.6073          | 4.9074 | 18.8338 |


### Framework versions

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