readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-small-vanilla-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. -->
  
  # t5-small-vanilla-top_v2
  
  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: 0.0358
  - Exact Match: 0.4268
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-----------:|
  | 1.8739        | 0.82  | 200  | 0.1319          | 0.2831      |
  | 0.1338        | 1.65  | 400  | 0.0670          | 0.3859      |
  | 0.0879        | 2.47  | 600  | 0.0568          | 0.4023      |
  | 0.0689        | 3.29  | 800  | 0.0478          | 0.4083      |
  | 0.059         | 4.12  | 1000 | 0.0457          | 0.4157      |
  | 0.0514        | 4.94  | 1200 | 0.0419          | 0.4178      |
  | 0.046         | 5.76  | 1400 | 0.0398          | 0.4202      |
  | 0.0422        | 6.58  | 1600 | 0.0396          | 0.4220      |
  | 0.0386        | 7.41  | 1800 | 0.0386          | 0.4221      |
  | 0.0366        | 8.23  | 2000 | 0.0384          | 0.4233      |
  | 0.0346        | 9.05  | 2200 | 0.0370          | 0.4249      |
  | 0.0322        | 9.88  | 2400 | 0.0362          | 0.4253      |
  | 0.0306        | 10.7  | 2600 | 0.0371          | 0.4258      |
  | 0.0297        | 11.52 | 2800 | 0.0361          | 0.4266      |
  | 0.029         | 12.35 | 3000 | 0.0358          | 0.4268      |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  