---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-fine-tune-generate-email
  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. -->

# t5-fine-tune-generate-email

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: 2.4153
- Rouge1: 0.0143
- Rouge2: 0.0060
- Rougel: 0.0137
- Rougelsum: 0.0142

## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.864         | 1.0   | 2487 | 2.5669          | 0.0151 | 0.0060 | 0.0145 | 0.0150    |
| 2.6463        | 2.0   | 4974 | 2.4533          | 0.0143 | 0.0060 | 0.0137 | 0.0142    |
| 2.5031        | 3.0   | 7461 | 2.4153          | 0.0143 | 0.0060 | 0.0137 | 0.0142    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0