marianmt-santali-sanlish-to-bangla_normalSplit

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

• epoch: 22.0
• eval_bertscore: 0.8438
• eval_bleu: 11.3284
• eval_chrf: 40.3184
• eval_loss: 1.6976
• eval_meteor: 0.3389
• eval_runtime: 18.6408
• eval_samples_per_second: 10.354
• eval_steps_per_second: 1.341
• step: 4268

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: 8
• eval_batch_size: 8
• seed: 42
• 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_ratio: 0.1
• num_epochs: 35
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.46.3
• Pytorch 2.11.0+cu128
• Datasets 4.0.0
• Tokenizers 0.20.3