readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-base-asqa-ob
    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-asqa-ob
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the [ASQA](https://huggingface.co/datasets/din0s/asqa) dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.7356
  - Rougelsum: 12.0879
  
  ## 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: 1e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|
  | No log        | 1.0   | 355  | 1.8545          | 11.6549   |
  | 2.4887        | 2.0   | 710  | 1.8050          | 11.7533   |
  | 1.9581        | 3.0   | 1065 | 1.7843          | 11.8327   |
  | 1.9581        | 4.0   | 1420 | 1.7722          | 11.9442   |
  | 1.9252        | 5.0   | 1775 | 1.7648          | 11.9331   |
  | 1.8853        | 6.0   | 2130 | 1.7567          | 11.9788   |
  | 1.8853        | 7.0   | 2485 | 1.7519          | 12.0300   |
  | 1.8512        | 8.0   | 2840 | 1.7483          | 12.0225   |
  | 1.8328        | 9.0   | 3195 | 1.7451          | 12.0402   |
  | 1.8115        | 10.0  | 3550 | 1.7436          | 12.0444   |
  | 1.8115        | 11.0  | 3905 | 1.7419          | 12.0850   |
  | 1.7878        | 12.0  | 4260 | 1.7408          | 12.1047   |
  | 1.774         | 13.0  | 4615 | 1.7394          | 12.0839   |
  | 1.774         | 14.0  | 4970 | 1.7390          | 12.0910   |
  | 1.7787        | 15.0  | 5325 | 1.7381          | 12.0880   |
  | 1.7632        | 16.0  | 5680 | 1.7380          | 12.1088   |
  | 1.7623        | 17.0  | 6035 | 1.7370          | 12.1046   |
  | 1.7623        | 18.0  | 6390 | 1.7368          | 12.0997   |
  | 1.7508        | 19.0  | 6745 | 1.7359          | 12.0902   |
  | 1.7597        | 20.0  | 7100 | 1.7356          | 12.0879   |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1+cu102
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  