---
license: apache-2.0
base_model: dumitrescustefan/mt5-base-romanian
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ROAI_proba_2
  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. -->

# ROAI_proba_2

This model is a fine-tuned version of [dumitrescustefan/mt5-base-romanian](https://huggingface.co/dumitrescustefan/mt5-base-romanian) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4289
- Bleu: 0.6870
- Meteor: 0.8509
- Rouge-l: 0.8753

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Meteor | Rouge-l |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|
| 0.6694        | 1.0   | 1207 | 0.5275          | 0.6257 | 0.8122 | 0.8390  |
| 0.8264        | 2.0   | 2414 | 0.4472          | 0.6727 | 0.8430 | 0.8671  |
| 0.5424        | 3.0   | 3621 | 0.4289          | 0.6870 | 0.8509 | 0.8753  |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1