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--- |
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license: apache-2.0 |
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base_model: t5-small |
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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-small-ufloodKP |
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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-small-ufloodKP |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2340 |
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- Rouge1: 51.1957 |
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- Rouge2: 38.6274 |
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- Rougel: 51.029 |
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- Rougelsum: 50.9936 |
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- Gen Len: 7.2789 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 8 |
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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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| 1.1747 | 1.0 | 6058 | 1.2542 | 52.1875 | 40.2309 | 51.9801 | 51.9847 | 8.1324 | |
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| 1.0245 | 2.0 | 12116 | 1.2340 | 51.1957 | 38.6274 | 51.029 | 50.9936 | 7.2789 | |
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| 0.9058 | 3.0 | 18174 | 1.2498 | 51.6649 | 38.9989 | 51.5003 | 51.5001 | 7.6738 | |
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| 0.8717 | 4.0 | 24232 | 1.2799 | 51.6254 | 38.7551 | 51.5113 | 51.5324 | 7.9947 | |
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| 0.7923 | 5.0 | 30290 | 1.2744 | 52.241 | 39.1567 | 52.0777 | 52.0785 | 8.0851 | |
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| 0.7674 | 6.0 | 36348 | 1.2981 | 52.1724 | 39.1874 | 51.9824 | 51.9644 | 7.7757 | |
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| 0.727 | 7.0 | 42406 | 1.3060 | 52.0124 | 39.0293 | 51.8309 | 51.8109 | 7.8134 | |
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| 0.7335 | 8.0 | 48464 | 1.3128 | 52.1094 | 39.048 | 51.9469 | 51.97 | 7.9159 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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