|
--- |
|
license: apache-2.0 |
|
base_model: Helsinki-NLP/opus-mt-en-ru |
|
tags: |
|
- translation |
|
- generated_from_trainer |
|
model-index: |
|
- name: Gopal-finetuned-custom-en-to-ru |
|
results: [] |
|
language: |
|
- en |
|
- ru |
|
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. --> |
|
|
|
# Gopal-finetuned-custom-en-to-ru |
|
|
|
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/Helsinki-NLP/opus-mt-en-ru) on an unknown dataset. |
|
|
|
## Model description |
|
|
|
This is the model fine tuned by me on my custom dataset, the dataset contains communication domain parallel corpuses. |
|
|
|
## Intended uses & limitations |
|
|
|
This model is used for customised purposes and people are advised to fine tune it on the basis of there requirement |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-05 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 200 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
The bleu score: 31.08 |
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
