---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: en_bn_summarize_v4
  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. -->

# en_bn_summarize_v4

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: 2.9901
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 18.5342

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 26.6079       | 1.0   | 615  | 19.6911         | 0.0    | 0.0    | 0.0    | 0.0       | 5.8944  |
| 22.7508       | 2.0   | 1230 | 12.3575         | 0.0    | 0.0    | 0.0    | 0.0       | 6.8447  |
| 15.4958       | 3.0   | 1845 | 4.1616          | 0.0    | 0.0    | 0.0    | 0.0       | 16.4099 |
| 7.2592        | 4.0   | 2460 | 3.5828          | 0.0    | 0.0    | 0.0    | 0.0       | 10.7702 |
| 4.7619        | 5.0   | 3075 | 3.3817          | 0.0    | 0.0    | 0.0    | 0.0       | 16.1615 |
| 4.5058        | 6.0   | 3690 | 3.2461          | 0.0    | 0.0    | 0.0    | 0.0       | 17.2733 |
| 4.3329        | 7.0   | 4305 | 3.1254          | 0.0    | 0.0    | 0.0    | 0.0       | 18.0124 |
| 4.1691        | 8.0   | 4920 | 3.0500          | 0.0    | 0.0    | 0.0    | 0.0       | 17.9689 |
| 3.9262        | 9.0   | 5535 | 2.9968          | 0.0    | 0.0    | 0.0    | 0.0       | 18.4161 |
| 3.862         | 10.0  | 6150 | 2.9901          | 0.0    | 0.0    | 0.0    | 0.0       | 18.5342 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3