102 lines
2.4 KiB
Markdown
102 lines
2.4 KiB
Markdown
|
---
|
||
|
|
frameworks:
|
||
|
|
- Pytorch
|
||
|
|
tasks:
|
||
|
|
- text-generation
|
||
|
|
datasets:
|
||
|
|
train:
|
||
|
|
- hf.co/jondurbin/airoboros-2.2
|
||
|
|
- hf.co/Open-Orca/OpenOrca
|
||
|
|
- hf.co/garage-bAInd/Open-Platypus
|
||
|
|
- hf.co/WizardLM/WizardLM_evol_instruct_V2_196k
|
||
|
|
- hf.co/TokenBender/python_eval_instruct_51k
|
||
|
|
tags:
|
||
|
|
- mistral
|
||
|
|
- llama2
|
||
|
|
- code
|
||
|
|
license: other
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
<p><h1> speechless-code-mistral-orca-7b-v1.0 </h1></p>
|
||
|
|
|
||
|
|
Use the following dataset to fine-tune Open-Orca/Mistral-7B-OpenOrca in order to improve the model's reasoning and planning abilities.
|
||
|
|
|
||
|
|
Total 201,981 samples.
|
||
|
|
- jondurbin/airoboros-2.2: Filter categories related to coding, reasoning and planning. 23,462 samples.
|
||
|
|
- Open-Orca/OpenOrca: Filter the 'cot' category in 1M GPT4 dataset. 74,440 samples.
|
||
|
|
- garage-bAInd/Open-Platypus: 100%, 24,926 samples.
|
||
|
|
- WizardLM/WizardLM_evol_instruct_V2_196k: Coding coversation part. 30,185 samples
|
||
|
|
- TokenBender/python_eval_instruct_51k: “python” in output .40,309 samples
|
||
|
|
- Spider: 8,659 samples
|
||
|
|
|
||
|
|
## HumanEval
|
||
|
|
|
||
|
|
| Metric | Value |
|
||
|
|
| --- | --- |
|
||
|
|
| humaneval-python | 47.561 |
|
||
|
|
|
||
|
|
[Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard)
|
||
|
|
|
||
|
|
CodeLlama-34B-Python: 53.29
|
||
|
|
|
||
|
|
CodeLlama-34B-Instruct: 50.79
|
||
|
|
|
||
|
|
CodeLlama-13B-Instruct: 50.6
|
||
|
|
|
||
|
|
CodeLlama-34B: 45.11
|
||
|
|
|
||
|
|
CodeLlama-13B-Python: 42.89
|
||
|
|
|
||
|
|
CodeLlama-13B: 35.07
|
||
|
|
|
||
|
|
## lm-evaluation-harness
|
||
|
|
|
||
|
|
[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
||
|
|
| Metric | Value |
|
||
|
|
| --- | --- |
|
||
|
|
| ARC | 59.64 |
|
||
|
|
| HellaSwag | 82.25 |
|
||
|
|
| MMLU | 61.33 |
|
||
|
|
| TruthfulQA | 48.45 |
|
||
|
|
| Average | 62.92 |
|
||
|
|
|
||
|
|
## Parameters
|
||
|
|
|
||
|
|
|
||
|
|
| | |
|
||
|
|
|------ | ------ |
|
||
|
|
| lr | 2e-4 |
|
||
|
|
| lr_scheduler_type | cosine |
|
||
|
|
| weight_decay | 0.0 |
|
||
|
|
| optim | paged_adamw_8bit |
|
||
|
|
| flash_attention | True |
|
||
|
|
| rerope | False |
|
||
|
|
| max_new_tokens | 4096 |
|
||
|
|
| num_train_epochs | 2 |
|
||
|
|
| bits | 4 |
|
||
|
|
| lora_r | 64 |
|
||
|
|
| lora_alpha | 16 |
|
||
|
|
| lora_dropout | 0.05 |
|
||
|
|
| double_quant | True |
|
||
|
|
| quant_type | nf4 |
|
||
|
|
| dataset_format | airoboros |
|
||
|
|
| mini_batch_size | 2 |
|
||
|
|
| grandient_accumulation_steps | 32 |
|
||
|
|
| bf16 | True |
|
||
|
|
|
||
|
|
A100-40G x 4
|
||
|
|
|
||
|
|
| | |
|
||
|
|
|------ | ------ |
|
||
|
|
| epoch | 2.0 |
|
||
|
|
| etrain_loss | 0.4708 |
|
||
|
|
| etrain_runtime | 12:12:53.64 |
|
||
|
|
| etrain_samples_per_second | 9.002 |
|
||
|
|
| etrain_steps_per_second | 0.07 |
|
||
|
|
| eeval_loss | 0.4851 |
|
||
|
|
| eeval_runtime | 0:00:10.31 |
|
||
|
|
| eeval_samples_per_second | 19.385 |
|
||
|
|
| eeval_steps_per_second | 4.846 |
|
||
|
|
|