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--- |
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base_model: razent/SciFive-base-Pubmed_PMC |
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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: scifive_five_epoch |
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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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# scifive_five_epoch |
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This model is a fine-tuned version of [razent/SciFive-base-Pubmed_PMC](https://huggingface.co/razent/SciFive-base-Pubmed_PMC) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1218 |
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- Rouge1: 0.3765 |
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- Rouge2: 0.214 |
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- Rougel: 0.3144 |
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- Rougelsum: 0.3146 |
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- Gen Len: 17.78 |
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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: 2 |
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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 | 213 | 2.4847 | 0.2245 | 0.1102 | 0.1992 | 0.1996 | 15.8 | |
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| No log | 2.0 | 426 | 2.2700 | 0.309 | 0.1671 | 0.2616 | 0.2609 | 17.61 | |
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| 2.4677 | 3.0 | 639 | 2.1797 | 0.345 | 0.1914 | 0.2891 | 0.2889 | 17.85 | |
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| 2.4677 | 4.0 | 852 | 2.1419 | 0.3665 | 0.2104 | 0.3063 | 0.3067 | 17.67 | |
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| 1.9093 | 5.0 | 1065 | 2.1218 | 0.3765 | 0.214 | 0.3144 | 0.3146 | 17.78 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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