---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ro
tags:
- generated_from_trainer
model-index:
- name: opus-mt-en-ro-finetuned-src-to-tgt
  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. -->

# opus-mt-en-ro-finetuned-src-to-tgt

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4552

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 35   | 2.8624          |
| No log        | 2.0   | 70   | 2.6600          |
| No log        | 3.0   | 105  | 2.5610          |
| No log        | 4.0   | 140  | 2.5369          |
| No log        | 5.0   | 175  | 2.4976          |
| No log        | 6.0   | 210  | 2.4731          |
| No log        | 7.0   | 245  | 2.4463          |
| No log        | 8.0   | 280  | 2.4558          |
| No log        | 9.0   | 315  | 2.4386          |
| No log        | 10.0  | 350  | 2.4377          |
| No log        | 11.0  | 385  | 2.4342          |
| No log        | 12.0  | 420  | 2.4332          |
| No log        | 13.0  | 455  | 2.4401          |
| No log        | 14.0  | 490  | 2.4453          |
| 2.3749        | 15.0  | 525  | 2.4237          |
| 2.3749        | 16.0  | 560  | 2.4336          |
| 2.3749        | 17.0  | 595  | 2.4262          |
| 2.3749        | 18.0  | 630  | 2.4340          |
| 2.3749        | 19.0  | 665  | 2.4358          |
| 2.3749        | 20.0  | 700  | 2.4423          |
| 2.3749        | 21.0  | 735  | 2.4370          |
| 2.3749        | 22.0  | 770  | 2.4404          |
| 2.3749        | 23.0  | 805  | 2.4451          |
| 2.3749        | 24.0  | 840  | 2.4482          |
| 2.3749        | 25.0  | 875  | 2.4477          |
| 2.3749        | 26.0  | 910  | 2.4503          |
| 2.3749        | 27.0  | 945  | 2.4533          |
| 2.3749        | 28.0  | 980  | 2.4570          |
| 2.1075        | 29.0  | 1015 | 2.4564          |
| 2.1075        | 30.0  | 1050 | 2.4552          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0