--- library_name: transformers base_model: danasone/bart-small-ru-en tags: - generated_from_trainer metrics: - bleu model-index: - name: bart_eng_hin_mt results: [] --- # bart_eng_hin_mt This model is a fine-tuned version of [danasone/bart-small-ru-en](https://huggingface.co/danasone/bart-small-ru-en) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.3398 - Bleu: 10.015 - Gen Len: 123.5141 ## 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: 0.0008 - train_batch_size: 300 - eval_batch_size: 20 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - total_train_batch_size: 2400 - total_eval_batch_size: 160 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 1000 - num_epochs: 15.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:| | 0.5522 | 1.0 | 689 | 0.5343 | 3.4797 | 123.3969 | | 0.3988 | 2.0 | 1378 | 0.4020 | 7.5644 | 123.3578 | | 0.3496 | 3.0 | 2067 | 0.3601 | 9.3506 | 123.4641 | | 0.3191 | 4.0 | 2756 | 0.3398 | 10.015 | 123.5141 | ### Framework versions - Transformers 4.45.0.dev0 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1