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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-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 |
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should probably proofread and complete it, then remove this comment. --> |
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# t5-fr |
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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: 1.6878 |
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- Rouge1: 23.3848 |
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- Rouge2: 9.3504 |
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- Rougel: 19.3597 |
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- Rougelsum: 19.8429 |
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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: 5.6e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:| |
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| 1.9764 | 1.0 | 2676 | 1.7374 | 22.998 | 9.1033 | 19.0142 | 19.5113 | |
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| 1.7791 | 2.0 | 5352 | 1.7085 | 23.3534 | 9.3481 | 19.399 | 19.8575 | |
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| 1.6981 | 3.0 | 8028 | 1.7009 | 23.1764 | 9.163 | 19.1898 | 19.6352 | |
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| 1.6511 | 4.0 | 10704 | 1.6878 | 23.3848 | 9.3504 | 19.3597 | 19.8429 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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