readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-base-finetuned-keyword-to-text-generation
    results: []
  ---
  
  <!-- 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. -->
  
  # t5-base-finetuned-keyword-to-text-generation
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.4643
  - Rouge1: 2.1108
  - Rouge2: 0.3331
  - Rougel: 1.7368
  - Rougelsum: 1.7391
  - Gen Len: 16.591
  
  ## 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: 8
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
  | No log        | 1.0   | 375  | 3.4862          | 2.0718 | 0.326  | 1.7275 | 1.7308    | 16.7995 |
  | 3.5928        | 2.0   | 750  | 3.4761          | 2.0829 | 0.3253 | 1.7192 | 1.7224    | 16.773  |
  | 3.5551        | 3.0   | 1125 | 3.4701          | 2.1028 | 0.3272 | 1.7274 | 1.7296    | 16.6505 |
  | 3.5225        | 4.0   | 1500 | 3.4671          | 2.11   | 0.3305 | 1.7343 | 1.7362    | 16.699  |
  | 3.5225        | 5.0   | 1875 | 3.4653          | 2.1134 | 0.3319 | 1.7418 | 1.7437    | 16.5485 |
  | 3.4987        | 6.0   | 2250 | 3.4643          | 2.1108 | 0.3331 | 1.7368 | 1.7391    | 16.591  |
  | 3.4939        | 7.0   | 2625 | 3.4643          | 2.1108 | 0.3331 | 1.7368 | 1.7391    | 16.591  |
  | 3.498         | 8.0   | 3000 | 3.4643          | 2.1108 | 0.3331 | 1.7368 | 1.7391    | 16.591  |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  