readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-base-asqa-cb
    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-cb
  
  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: 2.7489
  - Rougelsum: 26.6134
  
  ## 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: 16
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 50
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rougelsum |
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|
  | No log        | 1.0   | 273   | 2.9648          | 23.8374   |
  | 3.5538        | 2.0   | 546   | 2.9054          | 24.2701   |
  | 3.5538        | 3.0   | 819   | 2.8744          | 24.4172   |
  | 3.1468        | 4.0   | 1092  | 2.8557          | 24.5949   |
  | 3.1468        | 5.0   | 1365  | 2.8400          | 24.7069   |
  | 3.0711        | 6.0   | 1638  | 2.8280          | 24.8685   |
  | 3.0711        | 7.0   | 1911  | 2.8191          | 24.9829   |
  | 3.0348        | 8.0   | 2184  | 2.8109          | 25.0908   |
  | 3.0348        | 9.0   | 2457  | 2.8038          | 25.2485   |
  | 2.9962        | 10.0  | 2730  | 2.7978          | 25.3279   |
  | 2.9635        | 11.0  | 3003  | 2.7920          | 25.4465   |
  | 2.9635        | 12.0  | 3276  | 2.7878          | 25.5927   |
  | 2.9328        | 13.0  | 3549  | 2.7833          | 25.6925   |
  | 2.9328        | 14.0  | 3822  | 2.7809          | 25.7563   |
  | 2.9126        | 15.0  | 4095  | 2.7773          | 25.8123   |
  | 2.9126        | 16.0  | 4368  | 2.7747          | 25.9039   |
  | 2.8878        | 17.0  | 4641  | 2.7719          | 25.9636   |
  | 2.8878        | 18.0  | 4914  | 2.7693          | 26.0025   |
  | 2.8744        | 19.0  | 5187  | 2.7673          | 26.0578   |
  | 2.8744        | 20.0  | 5460  | 2.7656          | 26.1161   |
  | 2.8579        | 21.0  | 5733  | 2.7629          | 26.1490   |
  | 2.8418        | 22.0  | 6006  | 2.7614          | 26.1830   |
  | 2.8418        | 23.0  | 6279  | 2.7604          | 26.2146   |
  | 2.8256        | 24.0  | 6552  | 2.7586          | 26.2899   |
  | 2.8256        | 25.0  | 6825  | 2.7586          | 26.2724   |
  | 2.8093        | 26.0  | 7098  | 2.7566          | 26.3183   |
  | 2.8093        | 27.0  | 7371  | 2.7551          | 26.3365   |
  | 2.8083        | 28.0  | 7644  | 2.7546          | 26.3950   |
  | 2.8083        | 29.0  | 7917  | 2.7537          | 26.4357   |
  | 2.7917        | 30.0  | 8190  | 2.7529          | 26.4681   |
  | 2.7917        | 31.0  | 8463  | 2.7526          | 26.5021   |
  | 2.785         | 32.0  | 8736  | 2.7512          | 26.5241   |
  | 2.7779        | 33.0  | 9009  | 2.7510          | 26.5361   |
  | 2.7779        | 34.0  | 9282  | 2.7502          | 26.5620   |
  | 2.771         | 35.0  | 9555  | 2.7495          | 26.6038   |
  | 2.771         | 36.0  | 9828  | 2.7488          | 26.6161   |
  | 2.7647        | 37.0  | 10101 | 2.7489          | 26.6134   |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1+cu102
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  