wingo-dz
/

ar-to-en-version3

Text2Text Generation

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

Edit model card

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

opus_2

This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0610
Bleu: 94.6642
Gen Len: 12.6418

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Downloads last month: 0

Safetensors

Model size

76.4M params

Tensor type

F32

·

Inference Examples

Text2Text Generation

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for wingo-dz/ar-to-en-version3

Base model

Helsinki-NLP/opus-mt-ar-en

Finetuned

(20)

this model

Evaluation results

Metadata error: specify a dataset to view leaderboard