readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-base-pt-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-pt-asqa-cb
  
  This model is a fine-tuned version of [din0s/t5-base-msmarco-nlgen-cb](https://huggingface.co/din0s/t5-base-msmarco-nlgen-cb) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7735
  - Rougelsum: 26.3056
  
  ## 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: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|
  | No log        | 1.0   | 273  | 2.9031          | 24.6325   |
  | 3.2031        | 2.0   | 546  | 2.8656          | 24.9190   |
  | 3.2031        | 3.0   | 819  | 2.8442          | 25.1197   |
  | 3.0839        | 4.0   | 1092 | 2.8303          | 25.2855   |
  | 3.0839        | 5.0   | 1365 | 2.8189          | 25.4891   |
  | 3.0276        | 6.0   | 1638 | 2.8099          | 25.6116   |
  | 3.0276        | 7.0   | 1911 | 2.8036          | 25.7411   |
  | 3.0043        | 8.0   | 2184 | 2.7976          | 25.8238   |
  | 3.0043        | 9.0   | 2457 | 2.7930          | 25.9201   |
  | 2.9791        | 10.0  | 2730 | 2.7890          | 26.0322   |
  | 2.9545        | 11.0  | 3003 | 2.7851          | 26.0934   |
  | 2.9545        | 12.0  | 3276 | 2.7826          | 26.1574   |
  | 2.9344        | 13.0  | 3549 | 2.7802          | 26.2041   |
  | 2.9344        | 14.0  | 3822 | 2.7785          | 26.2330   |
  | 2.9252        | 15.0  | 4095 | 2.7769          | 26.2394   |
  | 2.9252        | 16.0  | 4368 | 2.7756          | 26.2676   |
  | 2.9109        | 17.0  | 4641 | 2.7747          | 26.2864   |
  | 2.9109        | 18.0  | 4914 | 2.7740          | 26.3146   |
  | 2.9103        | 19.0  | 5187 | 2.7736          | 26.2993   |
  | 2.9103        | 20.0  | 5460 | 2.7735          | 26.3056   |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1+cu102
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  