readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-base-qasper
    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-qasper
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1947
  - Answer f1: 0.0483
  
  ## 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 | Answer f1 |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|
  | No log        | 1.0   | 262  | 1.4772          | 0.0433    |
  | 1.5405        | 2.0   | 524  | 1.2919          | 0.0492    |
  | 1.5405        | 3.0   | 786  | 1.2517          | 0.0491    |
  | 1.1476        | 4.0   | 1048 | 1.2292          | 0.0492    |
  | 1.1476        | 5.0   | 1310 | 1.2197          | 0.0497    |
  | 1.056         | 6.0   | 1572 | 1.2150          | 0.0509    |
  | 1.056         | 7.0   | 1834 | 1.2116          | 0.0507    |
  | 0.9915        | 8.0   | 2096 | 1.2048          | 0.0503    |
  | 0.9915        | 9.0   | 2358 | 1.2056          | 0.0512    |
  | 0.9418        | 10.0  | 2620 | 1.1954          | 0.0497    |
  | 0.9418        | 11.0  | 2882 | 1.1977          | 0.0491    |
  | 0.9348        | 12.0  | 3144 | 1.1954          | 0.0486    |
  | 0.9348        | 13.0  | 3406 | 1.1926          | 0.0482    |
  | 0.9073        | 14.0  | 3668 | 1.1946          | 0.0486    |
  | 0.9073        | 15.0  | 3930 | 1.1919          | 0.0480    |
  | 0.8769        | 16.0  | 4192 | 1.1955          | 0.0485    |
  | 0.8769        | 17.0  | 4454 | 1.1941          | 0.0481    |
  | 0.8754        | 18.0  | 4716 | 1.1947          | 0.0483    |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  