readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: long-t5-tglobal-base-samsum
    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. -->
  
  # long-t5-tglobal-base-samsum
  
  This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an samsum dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3565
  - Rouge1: 46.191
  - Rouge2: 22.3147
  - Rougel: 38.4272
  - Rougelsum: 42.0471
  - Gen Len: 16.7350
  
  ## 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: 5e-05
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:-------:|:---------:|:-------:|
  | 1.6898        | 1.0   | 7366  | 1.3795          | 45.766 | 21.7455 | 38.1609 | 41.7016   | 16.7265 |
  | 1.5544        | 2.0   | 14732 | 1.3565          | 46.191 | 22.3147 | 38.4272 | 42.0471   | 16.7350 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu117
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  