speechless-code-mistral-orca-7b-v1.0

uukuguy/speechless-code-mistral-orca-7b-v1.0

speechless-code-mistral-orca-7b-v1.0 is a text generation model from uukuguy. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.

<p<h1 speechless-code-mistral-orca-7b-v1.0 </h1</p

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At a glance

Task: Text Generation
Library: transformers
License: llama2
Model type: mistral
Access: Public
Created: Oct 8, 2023
Updated: Nov 18, 2023
SHA: 00548b8f

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Datasets

Model card

From the Hugging Face model README

<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

Code: https://github.com/uukuguy/speechless

HumanEval

Metric	Value
humaneval-python	47.561

Big Code 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

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

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	55.33
ARC (25-shot)	59.64
HellaSwag (10-shot)	82.25
MMLU (5-shot)	61.33
TruthfulQA (0-shot)	48.45
Winogrande (5-shot)	77.51
GSM8K (5-shot)	8.26
DROP (3-shot)	49.89

Task: Text Generation
Library: transformers
Type: mistral
License: llama2
Languages: en
Featherless Ai: live
Created: Oct 8, 2023
Updated: Nov 18, 2023