readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: t5_small_race_mutlirc
    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_race_mutlirc
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5760
  - Accuracy: 0.5259
  
  ## 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  | Accuracy | Validation Loss |
  |:-------------:|:-----:|:-----:|:--------:|:---------------:|
  | 0.6043        | 1.0   | 14141 | 0.4832   | 0.5925          |
  | 0.5647        | 2.0   | 28282 | 0.5152   | 0.5659          |
  | 0.5237        | 3.0   | 42423 | 0.5760   | 0.5259          |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.9.1
  - Datasets 1.12.1
  - Tokenizers 0.10.3
  