readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - cosmos_qa
  metrics:
  - accuracy
  model-index:
  - name: t5_small_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_small_cosmos_qa
  
  This model is a fine-tuned version of [mamlong34/t5_small_race_mutlirc](https://huggingface.co/mamlong34/t5_small_race_mutlirc) on the cosmos_qa dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5614
  - Accuracy: 0.6067
  
  ## 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: 1000
  - num_epochs: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.4811        | 1.0   | 3158 | 0.5445          | 0.5548   |
  | 0.4428        | 2.0   | 6316 | 0.5302          | 0.5836   |
  | 0.3805        | 3.0   | 9474 | 0.5614          | 0.6067   |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.9.1
  - Datasets 1.12.1
  - Tokenizers 0.10.3
  