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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: google/flan-t5-base |
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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-Base-Finetune-Remarks-Bar |
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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-Base-Finetune-Remarks-Bar |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on individual remarks dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6775 |
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- Rouge1: 38.4803 |
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- Rouge2: 22.0178 |
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- Rougel: 31.4848 |
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- Rougelsum: 31.4757 |
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- Gen Len: 19.0 |
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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: 16 |
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- eval_batch_size: 16 |
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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 | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 0.9766 | 1.0 | 1125 | 0.7627 | 38.7818 | 21.7574 | 31.4008 | 31.3835 | 19.0 | |
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| 0.864 | 2.0 | 2250 | 0.7055 | 38.2489 | 21.7373 | 31.1157 | 31.1052 | 19.0 | |
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| 0.8192 | 3.0 | 3375 | 0.6831 | 38.7844 | 22.1673 | 31.5798 | 31.5805 | 19.0 | |
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| 0.7974 | 4.0 | 4500 | 0.6775 | 38.4803 | 22.0178 | 31.4848 | 31.4757 | 19.0 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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