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--- |
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license: apache-2.0 |
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base_model: google-t5/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: SummarEaseV1 |
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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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# SummarEaseV1 |
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This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4382 |
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- Rouge1: 0.2458 |
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- Rouge2: 0.1168 |
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- Rougel: 0.2008 |
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- Rougelsum: 0.2001 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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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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- 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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| No log | 0.7619 | 3 | 2.5665 | 0.2388 | 0.1118 | 0.1962 | 0.1959 | 19.0 | |
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| No log | 1.7778 | 7 | 2.4863 | 0.2439 | 0.1153 | 0.2005 | 0.1996 | 19.0 | |
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| No log | 2.7937 | 11 | 2.4462 | 0.2461 | 0.1169 | 0.2009 | 0.2003 | 19.0 | |
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| No log | 3.0476 | 12 | 2.4382 | 0.2458 | 0.1168 | 0.2008 | 0.2001 | 19.0 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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