readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - cstop_artificial
  model-index:
  - name: byt5-small-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. -->
  
  # byt5-small-cstop_artificial
  
  This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on the cstop_artificial dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0414
  - Exact Match: 0.8283
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - gradient_accumulation_steps: 16
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-----------:|
  | 0.2091        | 25.0  | 200  | 0.0555          | 0.0107      |
  | 0.0129        | 50.0  | 400  | 0.0414          | 0.0411      |
  | 0.004         | 75.0  | 600  | 0.0483          | 0.0394      |
  | 0.0018        | 100.0 | 800  | 0.0556          | 0.0394      |
  | 0.0011        | 125.0 | 1000 | 0.0598          | 0.0394      |
  | 0.0008        | 150.0 | 1200 | 0.0580          | 0.0376      |
  | 0.0008        | 175.0 | 1400 | 0.0627          | 0.0394      |
  | 0.0005        | 200.0 | 1600 | 0.0658          | 0.0376      |
  | 0.0005        | 225.0 | 1800 | 0.0657          | 0.0376      |
  | 0.0004        | 250.0 | 2000 | 0.0687          | 0.0376      |
  | 0.0003        | 275.0 | 2200 | 0.0731          | 0.0376      |
  | 0.0003        | 300.0 | 2400 | 0.0723          | 0.0376      |
  | 0.0002        | 325.0 | 2600 | 0.0736          | 0.0376      |
  | 0.0002        | 350.0 | 2800 | 0.0741          | 0.0394      |
  | 0.0002        | 375.0 | 3000 | 0.0745          | 0.0394      |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  