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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikisql
model-index:
- name: flan-t5-base-finetune
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-finetune
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the wikisql dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0966
- Rouge2 Precision: 0.8525
- Rouge2 Recall: 0.5466
- Rouge2 Fmeasure: 0.6549
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.162 | 1.0 | 2025 | 0.1235 | 0.8357 | 0.5366 | 0.6425 |
| 0.1277 | 2.0 | 4050 | 0.1082 | 0.8434 | 0.5413 | 0.6482 |
| 0.1142 | 3.0 | 6075 | 0.1000 | 0.8491 | 0.5443 | 0.6522 |
| 0.1063 | 4.0 | 8100 | 0.0978 | 0.8516 | 0.5464 | 0.6544 |
| 0.1 | 5.0 | 10125 | 0.0966 | 0.8525 | 0.5466 | 0.6549 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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