| library_name: transformers | |
| language_bcp47: | |
| - hin_Deva | |
| - kan_Knda | |
| license: cc-by-nc-4.0 | |
| base_model: facebook/nllb-200-distilled-600M | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: hin2kan | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # hin2kan_output | |
| This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.0180 | |
| - Bleu: 32.201 | |
| - Chrf: 68.985 | |
| - Gen Len: 29.055 | |
| ## 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: 5e-05 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 4 | |
| - 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 | |
| - num_epochs: 10.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.54.0.dev0 | |
| - Pytorch 2.7.1+cu126 | |
| - Datasets 4.0.0 | |
| - Tokenizers 0.21.2 | |