readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-small-vanilla-cstop_artificial
    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-vanilla-cstop_artificial
  
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1506
  - Exact Match: 0.5725
  
  ## 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: 0.001
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - gradient_accumulation_steps: 32
  - total_train_batch_size: 512
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - training_steps: 3000
  
  ### Training results
  
  | Training Loss | Epoch  | Step | Validation Loss | Exact Match |
  |:-------------:|:------:|:----:|:---------------:|:-----------:|
  | 1.4041        | 28.5   | 200  | 0.1008          | 0.4758      |
  | 0.047         | 57.13  | 400  | 0.1029          | 0.5367      |
  | 0.021         | 85.63  | 600  | 0.1077          | 0.5617      |
  | 0.012         | 114.25 | 800  | 0.1214          | 0.5689      |
  | 0.0079        | 142.75 | 1000 | 0.1273          | 0.5671      |
  | 0.0809        | 171.38 | 1200 | 0.1192          | 0.5653      |
  | 0.0063        | 199.88 | 1400 | 0.1329          | 0.5653      |
  | 0.0042        | 228.5  | 1600 | 0.1402          | 0.5707      |
  | 0.0036        | 257.13 | 1800 | 0.1335          | 0.5617      |
  | 0.0029        | 285.63 | 2000 | 0.1423          | 0.5689      |
  | 0.0023        | 314.25 | 2200 | 0.1515          | 0.5671      |
  | 0.0019        | 342.75 | 2400 | 0.1569          | 0.5689      |
  | 0.0018        | 371.38 | 2600 | 0.1517          | 0.5689      |
  | 0.0016        | 399.88 | 2800 | 0.1527          | 0.5725      |
  | 0.0016        | 428.5  | 3000 | 0.1506          | 0.5725      |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  