darija_englishV2.1

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: 1.3635
• Bleu: 32.8666
• Gen Len: 11.7901

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: 10
• eval_batch_size: 10
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 7
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.641	1.0	1594	1.4631	29.3791	11.6872
1.2871	2.0	3188	1.3761	30.8465	12.0999
1.1067	3.0	4782	1.3503	32.7058	11.6206
0.9456	4.0	6376	1.3462	32.5581	11.8712
0.8611	5.0	7970	1.3497	33.0669	11.7258
0.7806	6.0	9564	1.3601	33.2093	11.7203
0.7293	7.0	11158	1.3635	32.8666	11.7901

Framework versions

• Transformers 4.40.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1