| --- |
| language: |
| - bn |
| tags: |
| - translation |
| - mbart-50 |
| - santali |
| - sanlish |
| license: apache-2.0 |
| base_model: facebook/mbart-large-50-many-to-many-mmt |
| --- |
| |
| # mbart_coded_sanlish |
|
|
| Fine-tuned `facebook/mbart-large-50-many-to-many-mmt` for **coded-Sanlish → Bangla** translation, |
| part of the Santali Speech-to-Bangla-Text thesis pipeline. |
|
|
| - **Source column:** `coded_sanlish` (tagged as `en_XX`, a Latin-script placeholder) |
| - **Target column:** `Bangla` (tagged as `bn_IN`) |
| - **Status:** training complete — this is the best checkpoint |
|
|
| ## Training arguments used |
|
|
| | Argument | Value | |
| |---|---| |
| | `evaluation_strategy` | `epoch` | |
| | `save_strategy` | `epoch` | |
| | `logging_steps` | `20` | |
| | `learning_rate` | `0.0003` | |
| | `weight_decay` | `0.01` | |
| | `warmup_ratio` | `0.1` | |
| | `per_device_train_batch_size` | `8` | |
| | `per_device_eval_batch_size` | `8` | |
| | `gradient_accumulation_steps` | `2` | |
| | `num_train_epochs` | `8` | |
| | `predict_with_generate` | `True` | |
| | `fp16` | `True` | |
| | `load_best_model_at_end` | `True` | |
| | `metric_for_best_model` | `eval_loss` | |
| | `greater_is_better` | `False` | |
| | `save_total_limit` | `2` | |
|
|
|
|
| ## Final results (best checkpoint, by `eval_loss`) |
| |
| | Metric | Value | |
| |---|---| |
| | eval_loss | 2.631115674972534 | |
| | BLEU | 7.6122363636138815 | |
| | chrF++ | 25.5530785618982 | |
|
|
|
|
