readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-small-finetuned-dialogsum
    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-small-finetuned-dialogsum
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.2771
  - Rouge1: 36.5545
  - Rouge2: 13.7107
  - Rougel: 30.873
  - Rougelsum: 32.8142
  - Gen Len: 18.846
  
  ## 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: 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: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 1.4705        | 1.0   | 4154  | 1.3514          | 34.4087 | 11.8611 | 28.9723 | 31.0725   | 18.76   |
  | 1.418         | 2.0   | 8308  | 1.3023          | 35.8965 | 12.9266 | 30.2866 | 32.1637   | 18.83   |
  | 1.3933        | 3.0   | 12462 | 1.2832          | 36.1978 | 13.5923 | 30.6338 | 32.5086   | 18.884  |
  | 1.3875        | 4.0   | 16616 | 1.2771          | 36.5545 | 13.7107 | 30.873  | 32.8142   | 18.846  |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  