asas-ai/opus-mt-ar-en-finetuned_augmented_MT-ar-to-en

opus-mt-ar-en-finetuned_augmented_MTback-ar-to-en

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: 0.8227
• Bleu: 66.3415
• Gen Len: 59.569

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.3965	1.0	1098	1.1276	52.6355	62.191
2.0086	2.0	2196	0.9785	58.7217	61.399
1.7825	3.0	3294	0.9172	61.1046	61.316
1.6434	4.0	4392	0.8788	63.501	60.232
1.5295	5.0	5490	0.8571	64.7425	59.709
1.4316	6.0	6588	0.8419	65.7013	59.381
1.3766	7.0	7686	0.8315	65.9805	59.585
1.3241	8.0	8784	0.8254	66.2432	59.516
1.2965	9.0	9882	0.8238	66.2241	59.604
1.2877	10.0	10980	0.8227	66.3415	59.569

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3