---
license: apache-2.0
base_model: google/mt5-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: MT5_large_NO_CNN-idun-final
  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_large_NO_CNN-idun-final

This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8492
- Rouge1: 31.9047
- Rouge2: 12.0487
- Rougel: 21.7323
- Rougelsum: 29.4557
- Gen Len: 98.7777

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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  |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 2.246         | 1.0   | 6118  | 1.9772          | 30.9142 | 11.28   | 21.0914 | 28.4499   | 95.2396  |
| 2.0899        | 2.0   | 12236 | 1.9070          | 31.3973 | 11.6219 | 21.3122 | 28.9365   | 100.0907 |
| 1.9736        | 3.0   | 18354 | 1.8716          | 31.5752 | 11.7955 | 21.4748 | 29.1354   | 100.4973 |
| 1.9189        | 4.0   | 24472 | 1.8547          | 31.9802 | 12.183  | 21.8505 | 29.5171   | 98.4764  |
| 1.8697        | 5.0   | 30590 | 1.8492          | 31.9047 | 12.0487 | 21.7323 | 29.4557   | 98.7777  |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.3.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2