---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flanT5-description-generation
  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. -->

# flanT5-description-generation

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3688
- Rouge1: 6.3055
- Rouge2: 5.5351
- Rougel: 5.9301
- Rougelsum: 5.9371
- Gen Len: 4.6041

## 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: 8
- eval_batch_size: 8
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 99   | 3.9741          | 7.1174 | 6.3701 | 6.7345 | 6.7347    | 2.4264  |
| No log        | 2.0   | 198  | 1.6340          | 7.0189 | 6.2738 | 6.6359 | 6.6379    | 2.6142  |
| No log        | 3.0   | 297  | 0.7071          | 6.887  | 6.1128 | 6.512  | 6.515     | 3.0406  |
| No log        | 4.0   | 396  | 0.4279          | 6.0645 | 5.1995 | 5.6723 | 5.6926    | 5.5787  |
| No log        | 5.0   | 495  | 0.3688          | 6.3055 | 5.5351 | 5.9301 | 5.9371    | 4.6041  |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1