english-hindi-colloquial-translator

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

• Loss: 0.5803

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: 0.0003
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
17.7013	2.0	2	10.1402
18.9217	4.0	4	10.1402
18.6663	6.0	6	3.6420
3.1444	8.0	8	0.9111
1.5752	10.0	10	0.5803

Framework versions

• Transformers 4.47.1
• Pytorch 2.6.0+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0