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dvitel
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h0-1

Text Generation
Transformers
PyTorch
gpt2
CodeGPT-small-py
hearthstone
Eval Results (legacy)
text-generation-inference
Model card Files
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  ---
 
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  tags:
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- - generated_from_trainer
 
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  metrics:
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  - bleu
 
 
 
 
 
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  model-index:
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  - name: h0-1
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- results: []
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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  # h0-1
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- This model is a fine-tuned version of [microsoft/CodeGPT-small-py](https://huggingface.co/microsoft/CodeGPT-small-py) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3622
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  - Exact Match: 0.1970
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  ## Model description
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- More information needed
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  ## Intended uses & limitations
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- More information needed
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  ---
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+ license: apache-2.0
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  tags:
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+ - CodeGPT-small-py
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+ - hearthstone
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  metrics:
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  - bleu
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+ - dvitel/codebleu
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+ - exact_match
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+ - chrf
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+ datasets:
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+ - dvitel/hearthstone
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  model-index:
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  - name: h0-1
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Python Code Synthesis
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+ dataset:
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+ type: dvitel/hearthstone
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+ name: HearthStone
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+ split: test
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+ metrics:
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+ - type: exact_match
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+ value: 0.21212121212121213
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+ name: Exact Match
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+ - type: bleu
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+ value: 0.8954467480979604
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+ name: BLEU
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+ - type: dvitel/codebleu
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+ value: 0.6976253554171774
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+ name: CodeBLEU
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+ - type: dvitel/codebleu
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+ value: 91.42413429212283
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+ name: chrF
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+ ---
 
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  # h0-1
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+ This model is a fine-tuned version of [microsoft/CodeGPT-small-py](https://huggingface.co/microsoft/CodeGPT-small-py) on [hearthstone](https://huggingface.co/datasets/dvitel/hearthstone) dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3622
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  - Exact Match: 0.1970
 
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  ## Model description
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+ CodeGPT-small-py fine-tuned on HearthStone dataset for 200 epochs
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  ## Intended uses & limitations
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+ HearthStone card code synthesis.
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  ## Training and evaluation data
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+ See split of [hearthstone](https://huggingface.co/datasets/dvitel/hearthstone) dataset
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  ## Training procedure
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