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--- |
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license: apache-2.0 |
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base_model: google-t5/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: tidy-tab-model |
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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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# tidy-tab-model |
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5060 |
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- Rouge1: 0.3341 |
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- Rouge2: 0.1528 |
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- Rougel: 0.3104 |
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- Rougelsum: 0.3125 |
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- Gen Len: 17.75 |
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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: 8 |
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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 | 7 | 4.4385 | 0.1922 | 0.0928 | 0.1885 | 0.1862 | 17.9167 | |
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| No log | 2.0 | 14 | 4.1803 | 0.2265 | 0.1136 | 0.2229 | 0.2214 | 17.75 | |
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| No log | 3.0 | 21 | 3.9826 | 0.2505 | 0.0972 | 0.2495 | 0.2517 | 17.1667 | |
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| No log | 4.0 | 28 | 3.8140 | 0.3166 | 0.131 | 0.3117 | 0.3168 | 17.5 | |
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| No log | 5.0 | 35 | 3.6817 | 0.3442 | 0.1594 | 0.3194 | 0.3211 | 17.4167 | |
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| No log | 6.0 | 42 | 3.5924 | 0.3341 | 0.1528 | 0.3104 | 0.3125 | 17.75 | |
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| No log | 7.0 | 49 | 3.5356 | 0.3341 | 0.1528 | 0.3104 | 0.3125 | 17.75 | |
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| No log | 8.0 | 56 | 3.5060 | 0.3341 | 0.1528 | 0.3104 | 0.3125 | 17.75 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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