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--- |
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base_model: plguillou/t5-base-fr-sum-cnndm |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: t5-base-fr-sum-cnndm_finetuned_12_06_13_40 |
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results: [] |
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--- |
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Ce modèle a été finetuné avec 4000 + 1000 offres. (Train + Validation) Le jeu de données a été oversamplé de façon à créer une répartition des classes homogène. |
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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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should probably proofread and complete it, then remove this comment. --> |
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# t5-base-fr-sum-cnndm_finetuned_12_06_13_40 |
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This model is a fine-tuned version of [plguillou/t5-base-fr-sum-cnndm](https://huggingface.co/plguillou/t5-base-fr-sum-cnndm) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5496 |
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- Rouge1: 0.161 |
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- Rouge2: 0.0388 |
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- Rougel: 0.1319 |
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- Rougelsum: 0.1319 |
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- Gen Len: 20.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 2 |
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- eval_batch_size: 2 |
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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: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 1.7344 | 1.0 | 4000 | 1.5496 | 0.161 | 0.0388 | 0.1319 | 0.1319 | 20.0 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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