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---
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
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