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--- |
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license: apache-2.0 |
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base_model: 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: t5-base-finetuned-scitldr_param2 |
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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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# t5-base-finetuned-scitldr_param2 |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1205 |
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- Rouge1: 23.543 |
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- Rouge2: 10.3655 |
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- Rougel: 19.6492 |
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- Rougelsum: 20.8429 |
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- Gen Len: 18.9822 |
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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: 1e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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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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| 1.98 | 1.0 | 996 | 3.1319 | 23.1445 | 10.0902 | 19.3585 | 20.4683 | 18.9758 | |
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| 1.9833 | 2.0 | 1992 | 3.1284 | 23.6157 | 10.3862 | 19.7155 | 20.8825 | 18.9822 | |
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| 1.9078 | 3.0 | 2988 | 3.1219 | 23.7444 | 10.5443 | 19.8405 | 21.0207 | 18.9774 | |
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| 1.907 | 4.0 | 3984 | 3.1199 | 23.6053 | 10.414 | 19.7221 | 20.9581 | 18.9822 | |
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| 1.8561 | 5.0 | 4980 | 3.1205 | 23.543 | 10.3655 | 19.6492 | 20.8429 | 18.9822 | |
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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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