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

# AI_Chaperone

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7199
- Rouge1: 0.5828
- Rouge2: 0.2796
- Rougel: 0.5828
- Rougelsum: 0.5828

## 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: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 2    | 12.8104         | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 2.0   | 4    | 7.4162          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 3.0   | 6    | 4.6275          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 4.0   | 8    | 4.2136          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 5.0   | 10   | 3.7987          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 6.0   | 12   | 3.4665          | 0.0513 | 0.0    | 0.0256 | 0.0513    |
| No log        | 7.0   | 14   | 3.1709          | 0.1846 | 0.0    | 0.1590 | 0.1846    |
| No log        | 8.0   | 16   | 2.8300          | 0.1846 | 0.0    | 0.1590 | 0.1846    |
| No log        | 9.0   | 18   | 2.5395          | 0.3513 | 0.0    | 0.3256 | 0.3513    |
| No log        | 10.0  | 20   | 2.3414          | 0.3256 | 0.0    | 0.3256 | 0.3256    |
| No log        | 11.0  | 22   | 2.1369          | 0.3256 | 0.0    | 0.3256 | 0.3256    |
| No log        | 12.0  | 24   | 1.9783          | 0.3256 | 0.0    | 0.3256 | 0.3256    |
| No log        | 13.0  | 26   | 1.7889          | 0.3256 | 0.0    | 0.3256 | 0.3256    |
| No log        | 14.0  | 28   | 1.5654          | 0.3513 | 0.0    | 0.3256 | 0.3513    |
| No log        | 15.0  | 30   | 1.3210          | 0.3317 | 0.0    | 0.3317 | 0.3317    |
| No log        | 16.0  | 32   | 1.0739          | 0.5828 | 0.2796 | 0.5828 | 0.5828    |
| No log        | 17.0  | 34   | 0.8915          | 0.5828 | 0.2796 | 0.5828 | 0.5828    |
| No log        | 18.0  | 36   | 0.7844          | 0.5828 | 0.2796 | 0.5828 | 0.5828    |
| No log        | 19.0  | 38   | 0.7356          | 0.5828 | 0.2796 | 0.5828 | 0.5828    |
| No log        | 20.0  | 40   | 0.7199          | 0.5828 | 0.2796 | 0.5828 | 0.5828    |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3