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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: 51.829 |
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verified: false |
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--- |
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<p><h1> speechless-tora-code-7b-v1.0 </h1></p> |
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* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/speechless-tora-code-7B-v1.0-AWQ) |
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* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/speechless-tora-code-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-tora-code-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 llm_agents/tora-code-7b-v1.0 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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## HumanEval |
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| Metric | Value | |
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| --- | --- | |
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| humaneval-python | 51.829 | |
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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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[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 | 42.66 | |
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| HellaSwag | 65.16 | |
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| MMLU | 38.56 | |
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| TruthfulQA | 42.06 | |
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| Average | 47.11 | |
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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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A800-80G x 2 |
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| | | |
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|------ | ------ | |
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| epoch | 2.0 | |
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| etrain_loss | 0.5891 | |
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| etrain_runtime | 19:24:49.43 | |
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| etrain_samples_per_second | 5.664 | |
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| etrain_steps_per_second | 0.044 | |
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| eeval_loss | 0.5872 | |
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| eeval_runtime | 0:00:15.59 | |
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| eeval_samples_per_second | 12.822 | |
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| eeval_steps_per_second | 6.411 | |
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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-tora-code-7b-v1.0) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 40.1 | |
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| ARC (25-shot) | 42.66 | |
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| HellaSwag (10-shot) | 65.16 | |
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| MMLU (5-shot) | 38.56 | |
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| TruthfulQA (0-shot) | 42.06 | |
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| Winogrande (5-shot) | 62.9 | |
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| GSM8K (5-shot) | 0.91 | |
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| DROP (3-shot) | 28.48 | |
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