---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-query_realestate_cars-finetuned
  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. -->

# mt5-small-query_realestate_cars-finetuned

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2111
- Rouge1: 51.6261
- Rouge2: 40.1355
- Rougel: 51.6277
- Rougelsum: 51.6154
- Gen Len: 8.9971
- Valid Json: 0.0085

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Valid Json |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:----------:|
| 0.4256        | 1.0   | 12204 | 0.2693          | 50.0289 | 38.3453 | 50.0269 | 50.027    | 8.9965  | 0.0061     |
| 0.3171        | 2.0   | 24408 | 0.2338          | 50.1782 | 38.5868 | 50.1546 | 50.1534   | 8.9985  | 0.0053     |
| 0.2364        | 3.0   | 36612 | 0.2200          | 51.1478 | 39.5229 | 51.1357 | 51.1351   | 8.9978  | 0.0068     |
| 0.1869        | 4.0   | 48816 | 0.2130          | 51.603  | 39.91   | 51.5963 | 51.5877   | 8.9974  | 0.0088     |
| 0.2221        | 5.0   | 61020 | 0.2111          | 51.6261 | 40.1355 | 51.6277 | 51.6154   | 8.9971  | 0.0085     |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.8.0
- Tokenizers 0.12.1