134 lines
2.7 KiB
Markdown
134 lines
2.7 KiB
Markdown
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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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- llama-2
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- code
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license: llama2
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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: 52.439
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verified: false
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---
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<p><h1> speechless-coding-7b-16k-tora </h1></p>
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Use the following dataset to fine-tune llm_agents/tora-code-7b-v1.0 in order to improve the model's reasoning and planning abilities.
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context window length: 16,384
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prompt_type = "alpaca"
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max_tokens > 128 && < 16384
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>
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Total 177,333 samples 316 MB
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- jondurbin/airoboros-2.2: Filter categories related to coding, reasoning and planning. 21,923 samples.
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- Open-Orca/OpenOrca: Filter the 'cot' category in 1M GPT4 dataset. 62,973 samples.
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- garage-bAInd/Open-Platypus: 100%, 22,760 samples.
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- WizardLM/WizardLM_evol_instruct_V2_196k: Coding coversation part. 30,081 samples
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- TokenBender/python_eval_instruct_51k: “python” in output .39,596 samples
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50 samples/T=0.2/MaxTokens=512/Top_P=0.95
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Code: https://github.com/uukuguy/speechless
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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 | 52.44 |
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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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## MultiPL-E
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| Metric | Value |
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| --- | --- |
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| python | 55.96 |
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| java | 37.84 |
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| javascript | 46.93 |
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| cpp | 37.48 |
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| rust | 29.01 |
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| go | 28.99 |
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| sh | 12.11 |
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| julia | 31.47 |
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| typescript | 47.80 |
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## LMEval
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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 | |
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| HellaSwag | |
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| MMLU | |
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| TruthfulQA | |
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| Average | |
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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 | 16384 |
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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 | 256 |
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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 | sharegpt |
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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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A100-40G x 4
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