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GPT_2_CODE

Text Generation
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Safetensors
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gpt2
code
text-generation-inference
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  ---
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- {}
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Model Card for GPT_2_CODE
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  -Goal is to create a small GPT2 python coder
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  More information needed
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  ### Speeds, Sizes, Times
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  Epochs 3
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- flytech/python-codes-25k (4600)
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  Training Loss: 0.4007
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  Validation Loss: 0.5526
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  Epochs 3
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  # "espejelomar/code_search_net_python_10000_examples"
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- ##Starting Loss: 2.0862
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- ##Epoch 1/4 | Training Loss: 1.5355 | Validation Loss: 1.1723
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- ##Epoch 2/4 | Training Loss: 1.0501 | Validation Loss: 1.0702
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- ##Epoch 3/4 | Training Loss: 0.9804 | Validation Loss: 1.0798
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- ##Epoch 4/4 | Training Loss: 0.9073 | Validation Loss: 1.0772
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  # Evaluation
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  Manual comparison with base model
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  # Model Card Contact
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  K00B404 huggingface
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  # How to Get Started with the Model
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- Use the code below to get started with the model.
 
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+ license: wtfpl
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+ datasets:
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+ - flytech/python-codes-25k
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+ - espejelomar/code_search_net_python_10000_examples
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+ language:
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+ - en
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+ metrics:
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+ - accuracy
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+ library_name: transformers
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+ pipeline_tag: text-generation
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+ tags:
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+ - code
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+ - text-generation-inference
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  ---
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  # Model Card for GPT_2_CODE
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  -Goal is to create a small GPT2 python coder
 
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  More information needed
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  ### Speeds, Sizes, Times
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  Epochs 3
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+ # "flytech/python-codes-25k"
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  Training Loss: 0.4007
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  Validation Loss: 0.5526
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  Epochs 3
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  # "espejelomar/code_search_net_python_10000_examples"
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+ --Starting Loss: 2.0862
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+ -Epoch 1/4 | Training Loss: 1.5355 | Validation Loss: 1.1723
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+ -Epoch 2/4 | Training Loss: 1.0501 | Validation Loss: 1.0702
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+ -Epoch 3/4 | Training Loss: 0.9804 | Validation Loss: 1.0798
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+ -Epoch 4/4 | Training Loss: 0.9073 | Validation Loss: 1.0772
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  # Evaluation
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  Manual comparison with base model
 
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  # Model Card Contact
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  K00B404 huggingface
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  # How to Get Started with the Model
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+ Use the code below to get started with the model.