|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: Helsinki-NLP/opus-mt-en-hi |
|
tags: |
|
- translation |
|
- generated_from_trainer |
|
datasets: |
|
- kde4 |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: opusmt-finetuned-kde4-hi-to-en |
|
results: |
|
- task: |
|
name: Sequence-to-sequence Language Modeling |
|
type: text2text-generation |
|
dataset: |
|
name: kde4 |
|
type: kde4 |
|
config: en-hi |
|
split: train |
|
args: en-hi |
|
metrics: |
|
- name: Bleu |
|
type: bleu |
|
value: 15.26373673890456 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# opusmt-finetuned-kde4-hi-to-en |
|
|
|
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on the kde4 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.3583 |
|
- Model Preparation Time: 0.0203 |
|
- Bleu: 15.2637 |
|
|
|
## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.46.3 |
|
- Pytorch 2.5.1+cu121 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.20.3 |
|
|
