---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-cnn_dailymail
  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-finetuned-cnn_dailymail

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: 1.5244
- Rouge1: 23.8806
- Rouge2: 11.7122
- Rougel: 20.1043
- Rougelsum: 22.5041
- Bleu 1: 3.5889
- Bleu 2: 2.411
- Bleu 3: 1.7466
- Meteor: 11.8919
- Lungime rezumat: 11.496
- Lungime original: 46.991

## 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: 5.6e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu 1 | Bleu 2 | Bleu 3 | Meteor  | Lungime rezumat | Lungime original |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:-------:|:---------------:|:----------------:|
| 2.9989        | 1.0   | 3583  | 1.6617          | 21.745  | 9.6834  | 17.6    | 20.1315   | 3.1902 | 2.0591 | 1.4759 | 10.57   | 11.408          | 46.991           |
| 1.8552        | 2.0   | 7166  | 1.5640          | 22.5336 | 10.3837 | 18.3609 | 20.9449   | 3.2826 | 2.1341 | 1.5187 | 11.0138 | 11.3677         | 46.991           |
| 1.7715        | 3.0   | 10749 | 1.5354          | 23.5705 | 11.4281 | 19.7129 | 22.1588   | 3.5276 | 2.3649 | 1.7132 | 11.7397 | 11.4513         | 46.991           |
| 1.7385        | 4.0   | 14332 | 1.5244          | 23.8806 | 11.7122 | 20.1043 | 22.5041   | 3.5889 | 2.411  | 1.7466 | 11.8919 | 11.496          | 46.991           |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1