readme: ---
  license: apache-2.0
  tags:
  - distigpt2
  - hearthstone
  metrics:
  - bleu
  - dvitel/codebleu
  - exact_match
  - chrf
  datasets:
  - dvitel/hearthstone
  model-index:
  - name: h0
    results:
    - task:
        type: text-generation
        name: Python Code Synthesis
      dataset:
        type: dvitel/hearthstone
        name: HearthStone
        split: test
      metrics:
        - type: exact_match
          value: 0.0
          name: Exact Match
        - type: bleu
          value: 0.6082316056517667
          name: BLEU        
        - type: dvitel/codebleu
          value: 0.36984242128954287
          name: CodeBLEU                
        - type: chrf
          value: 68.77878158023694
          name: chrF       
  ---
  
  # h2
  
  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on [hearthstone](https://huggingface.co/datasets/dvitel/hearthstone).
  [GitHub repo](https://github.com/dvitel/nlp-sem-parsing/blob/master/h2.py).
  It achieves the following results on the evaluation set:
  - Loss: 2.5771
  - Exact Match: 0.0
  - Bleu: 0.6619
  - Codebleu: 0.5374
  - Ngram Match Score: 0.4051
  - Weighted Ngram Match Score: 0.4298
  - Syntax Match Score: 0.5605
  - Dataflow Match Score: 0.7541
  - Chrf: 73.9625
  
  ## 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: 2e-05
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 17
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - num_epochs: 200
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch  | Step  | Validation Loss | Exact Match | Bleu   | Codebleu | Ngram Match Score | Weighted Ngram Match Score | Syntax Match Score | Dataflow Match Score | Chrf    |
  |:-------------:|:------:|:-----:|:---------------:|:-----------:|:------:|:--------:|:-----------------:|:--------------------------:|:------------------:|:--------------------:|:-------:|
  | 1.2052        | 11.94  | 1600  | 1.2887          | 0.0         | 0.6340 | 0.4427   | 0.3384            | 0.3614                     | 0.5263             | 0.5446               | 70.8004 |
  | 0.3227        | 23.88  | 3200  | 1.4484          | 0.0         | 0.6575 | 0.5050   | 0.3767            | 0.3995                     | 0.5955             | 0.6485               | 72.9553 |
  | 0.205         | 35.82  | 4800  | 1.6392          | 0.0         | 0.6598 | 0.5174   | 0.3788            | 0.4022                     | 0.5821             | 0.7063               | 73.2766 |
  | 0.1392        | 47.76  | 6400  | 1.8219          | 0.0         | 0.6584 | 0.5279   | 0.3922            | 0.4159                     | 0.5742             | 0.7294               | 73.5022 |
  | 0.0979        | 59.7   | 8000  | 1.9416          | 0.0         | 0.6635 | 0.5305   | 0.4012            | 0.4248                     | 0.5699             | 0.7261               | 73.8081 |
  | 0.0694        | 71.64  | 9600  | 2.1793          | 0.0         | 0.6593 | 0.5400   | 0.4027            | 0.4271                     | 0.5562             | 0.7739               | 73.6746 |
  | 0.0512        | 83.58  | 11200 | 2.2547          | 0.0         | 0.6585 | 0.5433   | 0.4040            | 0.4283                     | 0.5486             | 0.7921               | 73.7670 |
  | 0.0399        | 95.52  | 12800 | 2.3037          | 0.0         | 0.6585 | 0.5354   | 0.4040            | 0.4282                     | 0.5454             | 0.7640               | 73.7431 |
  | 0.0316        | 107.46 | 14400 | 2.4113          | 0.0         | 0.6577 | 0.5294   | 0.4006            | 0.4257                     | 0.5504             | 0.7409               | 73.7004 |
  | 0.0254        | 119.4  | 16000 | 2.4407          | 0.0         | 0.6607 | 0.5412   | 0.4041            | 0.4285                     | 0.5598             | 0.7723               | 73.8828 |
  | 0.0208        | 131.34 | 17600 | 2.4993          | 0.0         | 0.6637 | 0.5330   | 0.4042            | 0.4286                     | 0.5684             | 0.7310               | 74.1760 |
  | 0.0176        | 143.28 | 19200 | 2.5138          | 0.0         | 0.6627 | 0.5434   | 0.4050            | 0.4295                     | 0.5620             | 0.7772               | 74.0546 |
  | 0.0158        | 155.22 | 20800 | 2.5589          | 0.0         | 0.6616 | 0.5347   | 0.4044            | 0.4291                     | 0.5512             | 0.7541               | 73.9516 |
  | 0.0147        | 167.16 | 22400 | 2.5554          | 0.0         | 0.6620 | 0.5354   | 0.4049            | 0.4295                     | 0.5630             | 0.7442               | 73.9461 |
  | 0.0134        | 179.1  | 24000 | 2.5696          | 0.0         | 0.6607 | 0.5395   | 0.4046            | 0.4293                     | 0.5602             | 0.7640               | 73.8383 |
  | 0.0135        | 191.04 | 25600 | 2.5771          | 0.0       