| base_model: facebook/nllb-200-distilled-600M | |
| library_name: peft | |
| license: cc-by-nc-4.0 | |
| metrics: | |
| - bleu | |
| - rouge | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: NLLB_DoRA | |
| 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. --> | |
| # NLLB_DoRA | |
| 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: 1.2708 | |
| - Bleu: 32.802 | |
| - Rouge: 0.6028 | |
| - Gen Len: 17.4444 | |
| ## 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: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 4 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:| | |
| | 1.3937 | 1.0 | 2000 | 1.3115 | 32.2196 | 0.5954 | 17.6569 | | |
| | 1.3309 | 2.0 | 4000 | 1.2781 | 32.6752 | 0.6011 | 17.4931 | | |
| | 1.3234 | 3.0 | 6000 | 1.2708 | 32.802 | 0.6028 | 17.4444 | | |
| ### Framework versions | |
| - PEFT 0.12.0 | |
| - Transformers 4.44.0 | |
| - Pytorch 2.4.0 | |
| - Datasets 2.21.0 | |
| - Tokenizers 0.19.1 |