readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - race
  metrics:
  - accuracy
  model-index:
  - name: t5_base_race_cosmos_qa
    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_race_cosmos_qa
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the race dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4414
  - Accuracy: 0.7424
  
  ## 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: 0.0001
  - train_batch_size: 8
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 100
  - num_epochs: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 0.4355        | 1.0   | 10984 | 0.3910          | 0.7072   |
  | 0.3233        | 2.0   | 21968 | 0.3833          | 0.7321   |
  | 0.229         | 3.0   | 32952 | 0.4414          | 0.7424   |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.9.0
  - Datasets 1.12.1
  - Tokenizers 0.10.3
  