license: apache-2.0 | |
tags: | |
- translation | |
- generated_from_trainer | |
datasets: | |
- kde4 | |
metrics: | |
- bleu | |
base_model: Helsinki-NLP/opus-mt-en-fr | |
model-index: | |
- name: marian-finetuned-kde4-en-to-fr | |
results: | |
- task: | |
type: text2text-generation | |
name: Sequence-to-sequence Language Modeling | |
dataset: | |
name: kde4 | |
type: kde4 | |
config: en-fr | |
split: train | |
args: en-fr | |
metrics: | |
- type: bleu | |
value: 52.836492533087124 | |
name: Bleu | |
<!-- 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. --> | |
# marian-finetuned-kde4-en-to-fr | |
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the kde4 dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.8559 | |
- Bleu: 52.8365 | |
## 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: 64 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 3 | |
- mixed_precision_training: Native AMP | |
### Training results | |
### Framework versions | |
- Transformers 4.25.1 | |
- Pytorch 1.13.0+cu116 | |
- Datasets 2.8.0 | |
- Tokenizers 0.13.2 | |