---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ten-epochs
  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. -->

# ten-epochs

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: 0.0636
- Rouge1: 98.8722
- Rouge2: 95.6457
- Rougel: 98.8733
- Rougelsum: 98.8711
- Gen Len: 5.0

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.0669        | 1.0   | 2500  | 0.0637          | 98.8722 | 95.6457 | 98.8733 | 98.8711   | 5.0     |
| 0.068         | 2.0   | 5000  | 0.0635          | 98.8722 | 95.6457 | 98.8733 | 98.8711   | 5.0     |
| 0.0651        | 3.0   | 7500  | 0.0647          | 98.8722 | 95.6457 | 98.8733 | 98.8711   | 5.0     |
| 0.0637        | 4.0   | 10000 | 0.0635          | 98.8722 | 95.6457 | 98.8733 | 98.8711   | 5.0     |
| 0.0684        | 5.0   | 12500 | 0.0640          | 98.8722 | 95.6457 | 98.8733 | 98.8711   | 5.0     |
| 0.0666        | 6.0   | 15000 | 0.0636          | 98.8722 | 95.6457 | 98.8733 | 98.8711   | 5.0     |
| 0.0647        | 7.0   | 17500 | 0.0635          | 98.8722 | 95.6457 | 98.8733 | 98.8711   | 5.0     |
| 0.0652        | 8.0   | 20000 | 0.0636          | 98.8722 | 95.6457 | 98.8733 | 98.8711   | 5.0     |
| 0.0634        | 9.0   | 22500 | 0.0636          | 98.8722 | 95.6457 | 98.8733 | 98.8711   | 5.0     |
| 0.0651        | 10.0  | 25000 | 0.0636          | 98.8722 | 95.6457 | 98.8733 | 98.8711   | 5.0     |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3