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

# ADL_test

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: 3.9924
- Rouge-1: 19.8975
- Rouge-2: 7.0134
- Rouge-l: 18.2845
- Gen Len: 14.3786

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 4.0

### Training results

| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l |
|:-------------:|:-----:|:----:|:-------:|:---------------:|:-------:|:-------:|:-------:|
| 6.0773        | 1.0   | 1356 | 11.8835 | 4.1822          | 17.4884 | 6.039   | 16.4024 |
| 5.0033        | 2.0   | 2713 | 13.385  | 4.0972          | 18.9145 | 6.6873  | 17.5342 |
| 4.7707        | 3.0   | 4068 | 14      | 4.019           | 19.62   | 6.908   | 18.08   |
| 4.7391        | 4.0   | 5424 | 14.3786 | 3.992           | 19.9    | 7.013   | 18.28   |


### Framework versions

- Transformers 4.34.0
- Pytorch 1.13.1+cu116
- Datasets 2.14.5
- Tokenizers 0.14.1