---
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: 1.4868
- Rouge1: 0.1544
- Rouge2: 0.0388
- Rougel: 0.1494
- Rougelsum: 0.1493

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 375  | 0.8740          | 0.1454 | 0.0294 | 0.1416 | 0.1420    |
| 1.2229        | 2.0   | 750  | 0.8700          | 0.1572 | 0.0445 | 0.1526 | 0.1533    |
| 0.6201        | 3.0   | 1125 | 0.9088          | 0.1639 | 0.0461 | 0.1616 | 0.1606    |
| 0.4623        | 4.0   | 1500 | 0.9650          | 0.1581 | 0.0457 | 0.1533 | 0.1537    |
| 0.4623        | 5.0   | 1875 | 1.0441          | 0.1487 | 0.0332 | 0.1436 | 0.1437    |
| 0.3399        | 6.0   | 2250 | 1.1880          | 0.1581 | 0.0436 | 0.1528 | 0.1533    |
| 0.2692        | 7.0   | 2625 | 1.2633          | 0.1582 | 0.0423 | 0.1539 | 0.1547    |
| 0.2233        | 8.0   | 3000 | 1.3449          | 0.1624 | 0.0409 | 0.1590 | 0.1593    |
| 0.2233        | 9.0   | 3375 | 1.4225          | 0.1555 | 0.0401 | 0.1513 | 0.1507    |
| 0.183         | 10.0  | 3750 | 1.4868          | 0.1544 | 0.0388 | 0.1494 | 0.1493    |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3