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--- |
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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: camembert-base-finetuned-sentence-simplification-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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# camembert-base-finetuned-sentence-simplification-fr |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0001 |
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- Rouge1: 100.0 |
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- Rouge2: 100.0 |
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- Rougel: 100.0 |
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- Rougelsum: 100.0 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:------:|:---------:| |
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| 0.0202 | 1.0 | 167 | 0.0006 | 99.978 | 99.9587 | 99.978 | 99.978 | |
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| 0.0034 | 2.0 | 334 | 0.0001 | 100.0 | 100.0 | 100.0 | 100.0 | |
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| 0.0019 | 3.0 | 501 | 0.0001 | 100.0 | 100.0 | 100.0 | 100.0 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.12.1+cu102 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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