---
license: apache-2.0
tags:
- generated_from_trainer
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 [htriedman/flan-t5-base-finetune](https://huggingface.co/htriedman/flan-t5-base-finetune) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0175
- Rouge2 Precision: 0.8828
- Rouge2 Recall: 0.1209
- Rouge2 Fmeasure: 0.2082

## 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: 4
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.0258        | 1.0   | 54375  | 0.0238          | 0.8678           | 0.119         | 0.2048          |
| 0.0236        | 2.0   | 108750 | 0.0199          | 0.877            | 0.1203        | 0.2071          |
| 0.0166        | 3.0   | 163125 | 0.0185          | 0.88             | 0.1206        | 0.2076          |
| 0.0134        | 4.0   | 217500 | 0.0177          | 0.8824           | 0.1208        | 0.208           |
| 0.0146        | 5.0   | 271875 | 0.0175          | 0.8828           | 0.1209        | 0.2082          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3