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update model card README.md
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README.md
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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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datasets:
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- filter_sort
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metrics:
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- rouge
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model-index:
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- name: favsbot_filtersort_using_t5_summarization
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: filter_sort
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type: filter_sort
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config: default
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split: train
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args: default
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metrics:
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- name: Rouge1
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type: rouge
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value: 32.9593
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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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# favsbot_filtersort_using_t5_summarization
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the filter_sort dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5010
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- Rouge1: 32.9593
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- Rouge2: 0.0
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- Rougel: 32.9003
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- Rougelsum: 32.912
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- Gen Len: 18.8571
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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: 10
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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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| 2.8747 | 1.0 | 14 | 1.5385 | 37.0233 | 13.0159 | 36.9587 | 18.6477 | 16.8968 |
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| 2.7176 | 2.0 | 28 | 1.3330 | 49.2393 | 17.2269 | 43.7425 | 43.7607 | 18.8492 |
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| 2.2966 | 3.0 | 42 | 1.1196 | 49.2516 | 17.2269 | 43.7563 | 43.7706 | 18.8135 |
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| 2.2855 | 4.0 | 56 | 0.9385 | 49.2508 | 17.2269 | 43.7537 | 43.7695 | 18.8532 |
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| 2.0585 | 5.0 | 70 | 0.7803 | 49.2508 | 17.2269 | 43.7537 | 43.7695 | 18.8532 |
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| 1.8702 | 6.0 | 84 | 0.6600 | 32.9618 | 0.0 | 32.9021 | 32.9144 | 18.8492 |
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| 1.7851 | 7.0 | 98 | 0.5868 | 32.9593 | 0.0 | 32.9003 | 32.912 | 18.8571 |
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| 1.6443 | 8.0 | 112 | 0.5397 | 32.9593 | 0.0 | 32.9003 | 32.912 | 18.8571 |
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| 1.7303 | 9.0 | 126 | 0.5117 | 32.9593 | 0.0 | 32.9003 | 32.912 | 18.8571 |
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| 1.6068 | 10.0 | 140 | 0.5010 | 32.9593 | 0.0 | 32.9003 | 32.912 | 18.8571 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.12.1
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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