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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: t5-small-finetuned-NL2ModelioMQ |
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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-finetuned-NL2ModelioMQ |
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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: 0.0755 |
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- Rouge2 Precision: 0.7481 |
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- Rouge2 Recall: 0.462 |
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- Rouge2 Fmeasure: 0.5577 |
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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: 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: 3 |
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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 | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure | |
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|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:| |
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| No log | 1.0 | 449 | 0.1696 | 0.6061 | 0.3886 | 0.4635 | |
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| 0.653 | 2.0 | 898 | 0.0933 | 0.7231 | 0.4496 | 0.5415 | |
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| 0.2028 | 3.0 | 1347 | 0.0755 | 0.7481 | 0.462 | 0.5577 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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