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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-equadorKP |
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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-equadorKP |
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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: 1.0211 |
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- Rouge1: 51.8765 |
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- Rouge2: 37.0451 |
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- Rougel: 51.7365 |
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- Rougelsum: 51.7259 |
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- Gen Len: 6.5792 |
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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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| 1.171 | 1.0 | 6211 | 1.0792 | 50.847 | 37.011 | 50.7195 | 50.7905 | 6.4681 | |
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| 1.0127 | 2.0 | 12422 | 1.0760 | 51.2373 | 36.3082 | 51.0543 | 51.0786 | 6.5929 | |
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| 0.893 | 3.0 | 18633 | 1.0566 | 51.723 | 37.1819 | 51.5442 | 51.5984 | 6.7485 | |
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| 0.8944 | 4.0 | 24844 | 1.0580 | 51.1839 | 36.1186 | 50.969 | 50.9885 | 6.6299 | |
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| 0.8545 | 5.0 | 31055 | 1.0211 | 51.8765 | 37.0451 | 51.7365 | 51.7259 | 6.5792 | |
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| 0.8064 | 6.0 | 37266 | 1.0479 | 52.0241 | 37.6607 | 51.898 | 51.9317 | 6.4859 | |
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| 0.7433 | 7.0 | 43477 | 1.0473 | 51.9749 | 37.6617 | 51.8543 | 51.8594 | 6.4873 | |
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| 0.7496 | 8.0 | 49688 | 1.0570 | 52.2833 | 38.1133 | 52.1644 | 52.1668 | 6.5949 | |
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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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