|
--- |
|
license: apache-2.0 |
|
base_model: Helsinki-NLP/opus-mt-en-ro |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: translation-opus-mt-en-ro-finetuned-en-to-ro |
|
results: [] |
|
datasets: |
|
- Open-Orca/OpenOrca |
|
metrics: |
|
- bleu |
|
pipeline_tag: translation |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# translation-opus-mt-en-ro-finetuned-en-to-ro |
|
|
|
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- eval_loss: 1.3443 |
|
- eval_bleu: 27.5528 |
|
- eval_gen_len: 34.1251 |
|
- eval_runtime: 165.0632 |
|
- eval_samples_per_second: 12.111 |
|
- eval_steps_per_second: 0.757 |
|
- epoch: 2.0 |
|
- step: 76290 |
|
|
|
## 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: 5 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
