---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: product_description_generator
  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. -->

# product_description_generator

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0241
- Rouge1: 0.1639
- Rouge2: 0.0
- Rougel: 0.1337
- Rougelsum: 0.1357
- Gen Len: 11.4

## 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: 2e-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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 6    | 4.2311          | 0.1365 | 0.0    | 0.1103 | 0.1102    | 12.1    |
| No log        | 2.0   | 12   | 4.1437          | 0.1668 | 0.0    | 0.1321 | 0.1332    | 13.2    |
| No log        | 3.0   | 18   | 4.0572          | 0.143  | 0.0    | 0.1152 | 0.1152    | 11.8    |
| No log        | 4.0   | 24   | 4.0241          | 0.1639 | 0.0    | 0.1337 | 0.1357    | 11.4    |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3