metadata

library_name: transformers
license: mit
language:
  - en
metrics:
  - bleu
  - code_eval
  - rouge
  - chrf
model_name: MicroCoderFIM-1B
base_model: bigcode/starcoderbase-1b
model-index:
  - name: MicroCoderFIM-1B
    results:
      - task:
          type: text-generation
        dataset:
          type: openai_humaneval
          name: HumanEval
        metrics:
          - name: pass@1
            type: pass@1
            value: 65.46
            verified: false
          - name: pass@10
            type: pass@10
            value: 90.36
            verified: false
          - name: pass@100
            type: pass@100
            value: 94.43
            verified: false
      - task:
          type: text-generation
        dataset:
          type: xvadov01/cpp_emb_nl2pl
          name: xvadov01/cpp_emb_nl2pl
        metrics:
          - name: BLEU
            type: bleu
            value: 31.74
            verified: false
          - name: codeBLEU
            type: codeBLEU
            value: 40.53
            verified: false
          - name: chrf++
            type: chrf
            value: 51.54
            verified: false
          - name: rouge-l
            type: rouge
            value: 43.31
            verified: false

Model Card for Model ID

This is a finetuned version of StarCoderBase 1B using the Fill-in-the-Middle objective on dataset focused on embedded systems programming.

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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Model type: Transformer decoder architecture with Multi-Query attention
Language(s) (NLP): English
License: MIT
Finetuned from model [optional]: StarCoderBase 1B

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Hardware Type: NVIDIA GeForce RTX 3090
Hours used: 5h 25m
Carbon Emitted: 0.83

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