readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-small-finetuned-parth
    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-parth
  
  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: 2.9468
  - Rouge1: 26.5826
  - Rouge2: 21.7867
  - Rougel: 25.1629
  - Rougelsum: 26.2364
  - Gen Len: 16.9
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 4    | 3.3692          | 25.2983 | 20.639  | 24.0087 | 25.0732   | 16.2    |
  | No log        | 2.0   | 8    | 3.1818          | 25.4926 | 20.9783 | 24.0651 | 25.2635   | 16.3    |
  | No log        | 3.0   | 12   | 3.0498          | 26.2652 | 21.5076 | 24.8077 | 25.9478   | 16.65   |
  | No log        | 4.0   | 16   | 2.9742          | 26.5826 | 21.7867 | 25.1629 | 26.2364   | 16.9    |
  | No log        | 5.0   | 20   | 2.9468          | 26.5826 | 21.7867 | 25.1629 | 26.2364   | 16.9    |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  