readme: ---
  license: bsd-3-clause
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: long-t5-tglobal-base-16384-book-summary-finetuned-xsum
    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-16384-book-summary-finetuned-xsum
  
  This model is a fine-tuned version of [pszemraj/long-t5-tglobal-base-16384-book-summary](https://huggingface.co/pszemraj/long-t5-tglobal-base-16384-book-summary) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.7110
  - Rouge1: 19.379
  - Rouge2: 2.0125
  - Rougel: 12.4318
  - Rougelsum: 12.4432
  - Gen Len: 72.3611
  
  ## 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: 0.002
  - train_batch_size: 3
  - eval_batch_size: 3
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 24   | 3.7825          | 18.6153 | 1.7298 | 12.0792 | 12.0714   | 82.3611 |
  | No log        | 2.0   | 48   | 3.7110          | 19.379  | 2.0125 | 12.4318 | 12.4432   | 72.3611 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  