readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: Copilot_for_poors
    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. -->
  
  # Copilot_for_poors
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.8084
  
  ## 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: 12
  - eval_batch_size: 12
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 65   | 2.9425          |
  | No log        | 2.0   | 130  | 2.5889          |
  | No log        | 3.0   | 195  | 2.3886          |
  | No log        | 4.0   | 260  | 2.2679          |
  | No log        | 5.0   | 325  | 2.1732          |
  | No log        | 6.0   | 390  | 2.0942          |
  | No log        | 7.0   | 455  | 2.0343          |
  | 2.7389        | 8.0   | 520  | 1.9956          |
  | 2.7389        | 9.0   | 585  | 1.9557          |
  | 2.7389        | 10.0  | 650  | 1.9284          |
  | 2.7389        | 11.0  | 715  | 1.9024          |
  | 2.7389        | 12.0  | 780  | 1.8811          |
  | 2.7389        | 13.0  | 845  | 1.8612          |
  | 2.7389        | 14.0  | 910  | 1.8443          |
  | 2.7389        | 15.0  | 975  | 1.8331          |
  | 2.1064        | 16.0  | 1040 | 1.8228          |
  | 2.1064        | 17.0  | 1105 | 1.8178          |
  | 2.1064        | 18.0  | 1170 | 1.8130          |
  | 2.1064        | 19.0  | 1235 | 1.8093          |
  | 2.1064        | 20.0  | 1300 | 1.8084          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  