readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-small-finetuned_entailment_inference
    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-finetuned_entailment_inference
  
  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: 1.0249
  
  ## 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: 2e-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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.2885        | 1.0   | 522   | 1.2005          |
  | 1.2209        | 2.0   | 1044  | 1.1594          |
  | 1.1871        | 3.0   | 1566  | 1.1263          |
  | 1.1455        | 4.0   | 2088  | 1.1098          |
  | 1.1124        | 5.0   | 2610  | 1.0949          |
  | 1.0758        | 6.0   | 3132  | 1.0825          |
  | 1.0485        | 7.0   | 3654  | 1.0707          |
  | 1.0205        | 8.0   | 4176  | 1.0606          |
  | 0.9913        | 9.0   | 4698  | 1.0523          |
  | 1.0099        | 10.0  | 5220  | 1.0463          |
  | 0.97          | 11.0  | 5742  | 1.0395          |
  | 0.9699        | 12.0  | 6264  | 1.0370          |
  | 0.9531        | 13.0  | 6786  | 1.0337          |
  | 0.9449        | 14.0  | 7308  | 1.0312          |
  | 0.9354        | 15.0  | 7830  | 1.0274          |
  | 0.9342        | 16.0  | 8352  | 1.0266          |
  | 0.9188        | 17.0  | 8874  | 1.0262          |
  | 0.9219        | 18.0  | 9396  | 1.0251          |
  | 0.9044        | 19.0  | 9918  | 1.0252          |
  | 0.9223        | 20.0  | 10440 | 1.0249          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  