README.md

metadata

base_model: Helsinki-NLP/opus-mt-en-ar
library_name: transformers
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: Finetuning_mt-en-ar_English_Arabic_Translation
    results: []

Finetuning_mt-en-ar_English_Arabic_Translation

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2744

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: 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.3362	1.0	2000	0.2744

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.2.0
• Tokenizers 0.19.1