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--- |
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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-eLife |
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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-eLife |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0533 |
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- Rouge1: 16.8601 |
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- Rouge2: 3.5043 |
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- Rougel: 13.0262 |
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- Rougelsum: 15.2504 |
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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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| 2.6071 | 1.0 | 544 | 2.2323 | 16.7606 | 3.2667 | 12.9074 | 15.1681 | 19.0 | |
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| 2.438 | 2.0 | 1088 | 2.1395 | 16.9106 | 3.3542 | 13.0126 | 15.3345 | 19.0 | |
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| 2.3649 | 3.0 | 1632 | 2.0900 | 16.9637 | 3.5315 | 13.0919 | 15.3446 | 19.0 | |
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| 2.3264 | 4.0 | 2176 | 2.0624 | 16.8183 | 3.4983 | 13.0296 | 15.226 | 19.0 | |
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| 2.292 | 5.0 | 2720 | 2.0533 | 16.8601 | 3.5043 | 13.0262 | 15.2504 | 19.0 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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