| ---
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| library_name: transformers
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| license: apache-2.0
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| base_model: Helsinki-NLP/opus-mt-en-fr
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| tags:
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| - generated_from_trainer
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| datasets:
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| - kde4
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| metrics:
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| - bleu
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| model-index:
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| - name: lab1_finetuning
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| results:
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| - task:
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| name: Sequence-to-sequence Language Modeling
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| type: text2text-generation
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| dataset:
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| name: kde4
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| type: kde4
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| config: en-fr
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| split: train
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| args: en-fr
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| metrics:
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| - name: Bleu
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| type: bleu
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| value: 46.71957567393355
|
| ---
|
|
|
| <!-- 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. -->
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|
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| # lab1_finetuning
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|
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| 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.
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| It achieves the following results on the evaluation set:
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| - Loss: 1.2294
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| - Model Preparation Time: 0.0032
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| - Bleu: 46.7196
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|
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| ## Model description
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| More information needed
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|
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| ## Intended uses & limitations
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|
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| More information needed
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|
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| ## Training and evaluation data
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|
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| More information needed
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|
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| ## Training procedure
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|
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| ### Training hyperparameters
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|
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| The following hyperparameters were used during training:
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| - learning_rate: 2e-05
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| - train_batch_size: 16
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| - eval_batch_size: 32
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| - seed: 42
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| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| - lr_scheduler_type: linear
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| - training_steps: 1000
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| - mixed_precision_training: Native AMP
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|
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| ### Training results
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| ### Framework versions
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| - Transformers 4.48.1
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| - Pytorch 2.5.1+cu118
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| - Datasets 3.2.0
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| - Tokenizers 0.21.0
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| |
