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---
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
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