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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-small |
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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: flan-t5-small-code_de_travail |
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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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# flan-t5-small-code_de_travail |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8644 |
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- Rouge1: 25.4859 |
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- Rouge2: 9.5703 |
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- Rougel: 20.373 |
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- Rougelsum: 22.7081 |
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- Gen Len: 19.0 |
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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: 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: 5 |
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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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| No log | 1.0 | 100 | 1.9280 | 25.07 | 8.9144 | 19.6643 | 22.1851 | 19.0 | |
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| No log | 2.0 | 200 | 1.8979 | 25.3572 | 9.3844 | 20.223 | 22.645 | 19.0 | |
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| No log | 3.0 | 300 | 1.8786 | 25.3392 | 9.4074 | 20.2737 | 22.6969 | 19.0 | |
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| No log | 4.0 | 400 | 1.8671 | 25.2214 | 9.3115 | 20.2123 | 22.5665 | 19.0 | |
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| 2.1021 | 5.0 | 500 | 1.8644 | 25.4859 | 9.5703 | 20.373 | 22.7081 | 19.0 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
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