| | --- |
| | license: apache-2.0 |
| | base_model: Helsinki-NLP/opus-mt-en-fr |
| | tags: |
| | - waquas/lab1_finetuning |
| | - generated_from_trainer |
| | datasets: |
| | - kde4 |
| | metrics: |
| | - bleu |
| | model-index: |
| | - name: lab1_finetuning |
| | results: |
| | - task: |
| | name: Sequence-to-sequence Language Modeling |
| | type: text2text-generation |
| | dataset: |
| | name: kde4 |
| | type: kde4 |
| | config: en-fr |
| | split: train |
| | args: en-fr |
| | metrics: |
| | - name: Bleu |
| | type: bleu |
| | value: 49.75159108718876 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # lab1_finetuning |
| | |
| | This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the kde4 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.9966 |
| | - Bleu: 49.7516 |
| | |
| | ## 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: 64 |
| | - eval_batch_size: 128 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 1 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.37.0 |
| | - Pytorch 2.1.2 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.15.1 |
| | |
