metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-mul
tags:
- generated_from_trainer
model-index:
- name: marianmt-santali-sanlish-to-bangla_normalSplit
results: []
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