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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-base-Text-To-Graph |
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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-Text-To-Graph |
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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: 1.2583 |
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- Rouge1: 15.9211 |
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- Rouge2: 10.2439 |
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- Rougel: 15.798 |
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- Rougelsum: 15.8041 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 15 |
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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 | 1.0 | 49 | 1.9977 | 8.1859 | 1.5645 | 8.0953 | 8.0998 | 18.7308 | |
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| No log | 2.0 | 98 | 1.7956 | 12.432 | 4.5448 | 12.3804 | 12.3753 | 18.7308 | |
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| No log | 3.0 | 147 | 1.6533 | 14.0438 | 7.0658 | 13.9349 | 13.9529 | 18.7308 | |
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| No log | 4.0 | 196 | 1.5491 | 14.0217 | 7.7529 | 13.9337 | 13.9439 | 18.7308 | |
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| No log | 5.0 | 245 | 1.4763 | 14.1269 | 8.3586 | 14.0359 | 14.0413 | 18.7308 | |
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| No log | 6.0 | 294 | 1.4205 | 14.5555 | 8.9978 | 14.4438 | 14.4472 | 18.7308 | |
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| No log | 7.0 | 343 | 1.3769 | 15.4286 | 9.6146 | 15.3249 | 15.3274 | 19.0 | |
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| No log | 8.0 | 392 | 1.3427 | 15.3635 | 9.7892 | 15.253 | 15.2568 | 19.0 | |
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| No log | 9.0 | 441 | 1.3177 | 15.4871 | 9.9136 | 15.36 | 15.371 | 19.0 | |
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| No log | 10.0 | 490 | 1.2978 | 15.6885 | 10.1232 | 15.5719 | 15.5818 | 19.0 | |
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| 1.8518 | 11.0 | 539 | 1.2826 | 15.7429 | 10.1854 | 15.6191 | 15.6226 | 19.0 | |
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| 1.8518 | 12.0 | 588 | 1.2720 | 15.8945 | 10.1937 | 15.7743 | 15.7814 | 19.0 | |
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| 1.8518 | 13.0 | 637 | 1.2645 | 15.9058 | 10.2142 | 15.7815 | 15.7875 | 19.0 | |
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| 1.8518 | 14.0 | 686 | 1.2598 | 15.9154 | 10.2352 | 15.7899 | 15.7952 | 19.0 | |
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| 1.8518 | 15.0 | 735 | 1.2583 | 15.9211 | 10.2439 | 15.798 | 15.8041 | 19.0 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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