---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wmt16
model-index:
- name: dl_a3_q3_results
  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. -->

# dl_a3_q3_results

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on the wmt16 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5716
- Bleu-1: 0.785
- Bleu-2: 0.6566
- Rouge-l: 0.3001

## 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: 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: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu-1 | Bleu-2 | Rouge-l |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|
| 2.8855        | 1.0   | 1250 | 3.1121          | 0.7437 | 0.5967 | 0.2186  |
| 2.2274        | 2.0   | 2500 | 2.8313          | 0.749  | 0.6149 | 0.2604  |
| 2.019         | 3.0   | 3750 | 2.6962          | 0.7661 | 0.6359 | 0.2851  |
| 1.8669        | 4.0   | 5000 | 2.6241          | 0.7854 | 0.6544 | 0.2926  |
| 1.805         | 5.0   | 6250 | 2.5832          | 0.7812 | 0.6525 | 0.2987  |
| 1.7505        | 6.0   | 7500 | 2.5716          | 0.785  | 0.6566 | 0.3001  |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2