---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: reviews_sum
  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. -->

# reviews_sum

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8535
- Rouge1: 0.0273
- Rouge2: 0.0
- Rougel: 0.0277
- Rougelsum: 0.0274
- Gen Len: 19.0

## 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: 0.001
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 395  | 3.4194          | 0.0339 | 0.0    | 0.0338 | 0.0338    | 19.0    |
| 4.9137        | 2.0   | 790  | 3.0496          | 0.0339 | 0.0    | 0.0338 | 0.0338    | 19.0    |
| 3.1919        | 3.0   | 1185 | 2.9381          | 0.0339 | 0.0    | 0.0338 | 0.0338    | 19.0    |
| 2.8961        | 4.0   | 1580 | 2.8875          | 0.0339 | 0.0    | 0.0338 | 0.0338    | 19.0    |
| 2.8961        | 5.0   | 1975 | 2.8487          | 0.0    | 0.0    | 0.0    | 0.0       | 19.0    |
| 2.72          | 6.0   | 2370 | 2.8328          | 0.0339 | 0.0    | 0.0338 | 0.0338    | 19.0    |
| 2.5695        | 7.0   | 2765 | 2.8332          | 0.0273 | 0.0    | 0.0277 | 0.0274    | 19.0    |
| 2.4644        | 8.0   | 3160 | 2.8412          | 0.0    | 0.0    | 0.0    | 0.0       | 19.0    |
| 2.3847        | 9.0   | 3555 | 2.8358          | 0.0339 | 0.0    | 0.0338 | 0.0338    | 19.0    |
| 2.3847        | 10.0  | 3950 | 2.8535          | 0.0273 | 0.0    | 0.0277 | 0.0274    | 19.0    |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1