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---
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](https://arxiv.org/abs/2207.14255) on [dataset](https://huggingface.co/datasets/xvadov01/cpp_emb_nl2pl) focused on embedded systems programming.



## Model Details

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- **Model type:** Transformer decoder architecture with Multi-Query attention
- **Language(s) (NLP):** English
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- **Hardware Type:** NVIDIA GeForce RTX 3090
- **Hours used:** 5h 25m
- **Carbon Emitted:** 0.83

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