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--- |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-generation |
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datasets: |
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- jondurbin/airoboros-2.2 |
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- Open-Orca/OpenOrca |
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- garage-bAInd/Open-Platypus |
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- WizardLM/WizardLM_evol_instruct_V2_196k |
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- TokenBender/python_eval_instruct_51k |
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tags: |
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- code |
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license: apache-2.0 |
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model-index: |
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- name: SpeechlessCoder |
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results: |
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- task: |
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type: text-generation |
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dataset: |
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type: openai_humaneval |
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name: HumanEval |
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metrics: |
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- name: pass@1 |
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type: pass@1 |
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value: 51.21951219512195 |
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verified: false |
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--- |
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<p><h1> speechless-code-mistral-7b-v1.0 </h1></p> |
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* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/speechless-code-mistral-7B-v1.0-AWQ) |
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* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/speechless-code-mistral-7B-v1.0-GPTQ) |
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* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/speechless-code-mistral-7B-v1.0-GGUF) |
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Code: https://github.com/uukuguy/speechless |
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Use the following dataset to fine-tune mistralai/Mistral-7B-v0.1 in order to improve the model's reasoning and planning abilities. |
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Total 201,981 samples. |
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- jondurbin/airoboros-2.2: Filter categories related to coding, reasoning and planning. 23,462 samples. |
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- Open-Orca/OpenOrca: Filter the 'cot' category in 1M GPT4 dataset. 74,440 samples. |
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- garage-bAInd/Open-Platypus: 100%, 24,926 samples. |
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- WizardLM/WizardLM_evol_instruct_V2_196k: Coding coversation part. 30,185 samples |
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- TokenBender/python_eval_instruct_51k: “python” in output .40,309 samples |
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- Spider: 8,659 samples |
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## How to Prompt the Model |
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This model accepts the Alpaca instruction format. |
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For example: |
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``` |
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You are an intelligent programming assistant. |
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### Instruction: |
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Implement a linked list in C++ |
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### Response: |
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``` |
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## HumanEval |
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| Metric | Value | |
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| --- | --- | |
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| humaneval-python | 51.21951219512195| |
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## Big Code Evaluation |
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| | Humaneval | Java | Javascript | CPP | Php | Rust | Swift | R | Lua | D | Racket | Julia | |
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| ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | |
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| pass@1 | 0.4260 | 0.3165 | 0.4241 | 0.3467 | 0.3548 | 0.2454 | 0.0000 | 0.1735 | 0.2942 | 0.1087 | 0.0000 | 0.3081 | |
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| pass@10 | 0.5784 | 0.4506 | 0.5891 | 0.4845 | 0.4997 | 0.3858 | 0.0000 | 0.2516 | 0.4126 | 0.2018 | 0.0000 | 0.4427 | |
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[Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard) |
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CodeLlama-34B-Python: 53.29 |
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CodeLlama-34B-Instruct: 50.79 |
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CodeLlama-13B-Instruct: 50.6 |
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CodeLlama-34B: 45.11 |
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CodeLlama-13B-Python: 42.89 |
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CodeLlama-13B: 35.07 |
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## lm-evaluation-harness |
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```json |
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{'ARC (acc_norm)': 0.6109215017064846, |
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'HellaSwag (acc_norm)': 0.8358892650866361, |
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'MMLU (acc)': 0.6325456394049195, |
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'TruthfulQA (mc2)': 0.4746745250371087, |
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'Winoground (acc)': 0.7829518547750592, |
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'GSM8K (acc)': 0.467778620166793, |
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'DROP (f1)': 0.49585675335570545, |
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'Open LLM Score': 0.61437428571428571} |
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``` |
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[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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| Metric | Value | |
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| --- | --- | |
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| ARC |60.58 | |
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| HellaSwag |83.47 | |
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| MMLU | 62.98 | |
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| TruthfulQA | 47.9 | |
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| Winoground | 78.69 | |
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| GSM8K | 19.18 | |
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| Average | 58.85 | |
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## Parameters |
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| | | |
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|------ | ------ | |
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| lr | 2e-4 | |
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| lr_scheduler_type | cosine | |
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| weight_decay | 0.0 | |
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| optim | paged_adamw_8bit | |
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| flash_attention | True | |
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| rerope | False | |
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| max_new_tokens | 4096 | |
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| num_train_epochs | 2 | |
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| bits | 4 | |
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| lora_r | 64 | |
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| lora_alpha | 16 | |
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| lora_dropout | 0.05 | |
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| double_quant | True | |
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| quant_type | nf4 | |
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| dataset_format | airoboros | |
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| mini_batch_size | 2 | |
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| grandient_accumulation_steps | 32 | |
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| bf16 | True | |
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A40-48G x 2 |
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| | | |
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|------ | ------ | |
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| epoch | 2.0 | |
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| etrain_loss | 0.5 | |
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| etrain_runtime | 1 day, 10:25:26.77 | |
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| etrain_samples_per_second | 3.194 | |
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| etrain_steps_per_second | 0.025 | |
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| eeval_loss | 0.5146 | |
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| eeval_runtime | 0:00:25.04 | |
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| eeval_samples_per_second | 7.985 | |
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| eeval_steps_per_second | | |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-code-mistral-7b-v1.0) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 53.47 | |
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| ARC (25-shot) | 60.58 | |
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| HellaSwag (10-shot) | 83.75 | |
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| MMLU (5-shot) | 62.98 | |
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| TruthfulQA (0-shot) | 47.9 | |
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| Winogrande (5-shot) | 78.69 | |
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| GSM8K (5-shot) | 19.18 | |
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| DROP (3-shot) | 21.19 | |
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