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Training complete

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README.md CHANGED
@@ -1,4 +1,5 @@
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  ---
 
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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:
@@ -6,9 +7,24 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - kde4
 
 
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  model-index:
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  - name: marian-finetuned-kde4-en-to-fr
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,12 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
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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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- - eval_loss: 1.6978
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- - eval_bleu: 39.2712
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- - eval_runtime: 558.844
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- - eval_samples_per_second: 37.61
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- - eval_steps_per_second: 0.295
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- - step: 0
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  ## Model description
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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: 64
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- - eval_batch_size: 128
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  - seed: 42
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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- - Transformers 4.40.2
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- - Pytorch 2.3.0+cu121
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- - Datasets 2.19.1
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- - Tokenizers 0.19.1
 
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  ---
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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: marian-finetuned-kde4-en-to-fr
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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: 52.90204973205105
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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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: 0.8554
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+ - Model Preparation Time: 0.0156
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+ - Bleu: 52.9020
 
 
 
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  ## Model description
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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: 32
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+ - eval_batch_size: 64
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  - seed: 42
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+ - optimizer: Use 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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  - num_epochs: 3
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+
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+
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  ### Framework versions
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+ - Transformers 4.46.3
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
generation_config.json CHANGED
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  "num_beams": 4,
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  "pad_token_id": 59513,
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  "renormalize_logits": true,
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- "transformers_version": "4.40.2"
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  }
 
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  "num_beams": 4,
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  "pad_token_id": 59513,
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  "renormalize_logits": true,
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+ "transformers_version": "4.46.3"
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  }
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