readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-small-vanilla-mtop
    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-mtop
  
  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: 0.1581
  - Exact Match: 0.6331
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-----------:|
  | 1.5981        | 6.65  | 200  | 0.1598          | 0.4940      |
  | 0.1335        | 13.33 | 400  | 0.1155          | 0.5884      |
  | 0.074         | 19.98 | 600  | 0.1046          | 0.6094      |
  | 0.0497        | 26.65 | 800  | 0.1065          | 0.6139      |
  | 0.0363        | 33.33 | 1000 | 0.1134          | 0.6255      |
  | 0.0278        | 39.98 | 1200 | 0.1177          | 0.6313      |
  | 0.022         | 46.65 | 1400 | 0.1264          | 0.6255      |
  | 0.0183        | 53.33 | 1600 | 0.1260          | 0.6304      |
  | 0.0151        | 59.98 | 1800 | 0.1312          | 0.6300      |
  | 0.0124        | 66.65 | 2000 | 0.1421          | 0.6277      |
  | 0.0111        | 73.33 | 2200 | 0.1405          | 0.6277      |
  | 0.0092        | 79.98 | 2400 | 0.1466          | 0.6331      |
  | 0.008         | 86.65 | 2600 | 0.1522          | 0.6340      |
  | 0.007         | 93.33 | 2800 | 0.1590          | 0.6295      |
  | 0.0064        | 99.98 | 3000 | 0.1581          | 0.6331      |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  