readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - filter_sort
  metrics:
  - rouge
  model-index:
  - name: favsbot_filtersort_using_t5_summarization
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: filter_sort
        type: filter_sort
        config: default
        split: train
        args: default
      metrics:
      - name: Rouge1
        type: rouge
        value: 15.7351
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # favsbot_filtersort_using_t5_summarization
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the filter_sort dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.3327
  - Rouge1: 15.7351
  - Rouge2: 0.0
  - Rougel: 13.4803
  - Rougelsum: 13.5134
  - Gen Len: 12.6667
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 5    | 3.8161          | 14.754  | 0.0    | 12.6197 | 12.6426   | 10.5    |
  | 4.8789        | 2.0   | 10   | 3.6423          | 14.754  | 0.0    | 12.6197 | 12.6426   | 10.5    |
  | 4.8789        | 3.0   | 15   | 3.4687          | 14.754  | 0.0    | 12.6197 | 12.6426   | 10.5    |
  | 4.5407        | 4.0   | 20   | 3.3086          | 14.754  | 0.0    | 12.6197 | 12.6426   | 10.5    |
  | 4.5407        | 5.0   | 25   | 3.1726          | 14.754  | 0.0    | 12.6197 | 12.6426   | 10.5    |
  | 4.2216        | 6.0   | 30   | 3.0464          | 15.7792 | 0.0    | 13.5134 | 13.5411   | 12.6667 |
  | 4.2216        | 7.0   | 35   | 2.9326          | 15.7792 | 0.0    | 13.5134 | 13.5411   | 12.6667 |
  | 4.0021        | 8.0   | 40   | 2.8305          | 15.7792 | 0.0    | 13.5134 | 13.5411   | 12.6667 |
  | 4.0021        | 9.0   | 45   | 2.7386          | 15.7792 | 0.0    | 13.5134 | 13.5411   | 12.6667 |
  | 3.7634        | 10.0  | 50   | 2.6588          | 15.7792 | 0.0    | 13.5134 | 13.5411   | 12.6667 |
  | 3.7634        | 11.0  | 55   | 2.5916          | 15.7792 | 0.0    | 13.5134 | 13.5411   | 12.6667 |
  | 3.6224        | 12.0  | 60   | 2.5358          | 15.7792 | 0.0    | 13.5134 | 13.5411   | 12.6667 |
  | 3.6224        | 13.0  | 65   | 2.4895          | 15.7792 | 0.0    | 13.5134 | 13.5411   | 12.6667 |
  | 3.496         | 14.0  | 70   | 2.4486          | 15.7792 | 0.0    | 13.5134 | 13.5411   | 12.6667 |
  | 3.496         | 15.0  | 75   | 2.4140          | 15.7792 | 0.0    | 13.5134 | 13.5411   | 12.6667 |
  | 3.4157        | 16.0  | 80   | 2.3857          | 15.7351 | 0.0    | 13.4803 | 13.5134   | 12.6667 |
  | 3.4157        | 17.0  | 85   | 2.3622          | 15.7351 | 0.0    | 13.4803 | 13.5134   | 12.6667 |
  | 3.3964        | 18.0  | 90   | 2.3455          | 15.7351 | 0.0    | 13.4803 | 13.5134   | 12.6667 |
  | 3.3964        | 19.0  | 95   | 2.3361          | 15.7351 | 0.0    | 13.4803 | 13.5134   | 12.6667 |
  | 3.3502        | 20.0  | 100  | 2.3327          | 15.7351 | 0.0    | 13.4803 | 13.5134   | 12.6667 |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  