|
--- |
|
license: cc-by-4.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- wmt16 |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: opus-mt-tc-big-en-tr-finetuned-en-to-tr |
|
results: |
|
- task: |
|
name: Sequence-to-sequence Language Modeling |
|
type: text2text-generation |
|
dataset: |
|
name: wmt16 |
|
type: wmt16 |
|
config: tr-en |
|
split: validation |
|
args: tr-en |
|
metrics: |
|
- name: Bleu |
|
type: bleu |
|
value: 19.8227 |
|
--- |
|
|
|
<!-- 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-tc-big-en-tr-finetuned-en-to-tr |
|
|
|
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-tr](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-tr) on the wmt16 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.6141 |
|
- Bleu: 19.8227 |
|
- Gen Len: 23.0539 |
|
|
|
## 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: 1 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
|
| 0.981 | 1.0 | 12860 | 1.6141 | 19.8227 | 23.0539 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.4 |
|
- Pytorch 1.13.1+cu116 |
|
- Datasets 2.11.0 |
|
- Tokenizers 0.13.2 |
|
|
