readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - top_v2
  model-index:
  - name: byt5-base-top_v2
    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-base-top_v2
  
  This model is a fine-tuned version of [google/byt5-base](https://huggingface.co/google/byt5-base) on the top_v2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0154
  - Exact Match: 0.8533
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 64
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-----------:|
  | 0.3866        | 0.82  | 200  | 0.0434          | 0.0278      |
  | 0.0335        | 1.65  | 400  | 0.0224          | 0.0396      |
  | 0.0206        | 2.47  | 600  | 0.0184          | 0.0403      |
  | 0.0162        | 3.29  | 800  | 0.0189          | 0.0409      |
  | 0.0165        | 4.12  | 1000 | 0.0167          | 0.0410      |
  | 0.0116        | 4.94  | 1200 | 0.0154          | 0.0413      |
  | 0.0093        | 5.76  | 1400 | 0.0154          | 0.0415      |
  | 0.008         | 6.58  | 1600 | 0.0161          | 0.0413      |
  | 0.0071        | 7.41  | 1800 | 0.0167          | 0.0414      |
  | 0.0064        | 8.23  | 2000 | 0.0171          | 0.0414      |
  | 0.0055        | 9.05  | 2200 | 0.0168          | 0.0415      |
  | 0.0046        | 9.88  | 2400 | 0.0177          | 0.0415      |
  | 0.0039        | 10.7  | 2600 | 0.0183          | 0.0416      |
  | 0.0034        | 11.52 | 2800 | 0.0190          | 0.0414      |
  | 0.0029        | 12.35 | 3000 | 0.0192          | 0.0415      |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  