Model: raidhon/coven_7b_128k_orpo_alpha
Author: raidhon
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, mistral, text-generation, large-language-model, orpo, conversational, en, base_model:mistralai/Mistral-7B-Instruct-v0.2, base_model:finetune:mistralai/Mistral-7B-Instruct-v0.2, license:apache-2.0, model-index, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: mistralai/Mistral-7B-Instruct-v0.2
Card metadata: language: en
license: apache-2.0
tags: text-generation, large-language-model, orpo
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index: name: Coven 7B 128K ORPO
description: Coven 7B 128K ORPO is a derivative of Mistral-7B-Instruct-v0.2, fine-tuned to perform specialized tasks involving deeper understanding and reasoning over context. This model exhibits strong capabilities in both general language understanding and task-specific challenges.
results: task: type: text-generation
name: Winogrande Challenge
dataset: name: Winogrande
type: winogrande_xl
split: test
args: num_few_shot: 5
metrics: type: accuracy
value: 77.82
name: accuracy
verified: no, task: type: text-generation
name: TruthfulQA Generation
dataset: name: TruthfulQA
type: truthful_qa
config: multiple_choice
split: validation
args: num_few_shot: 0
metrics: type: accuracy
value: 49.55
name: accuracy
verified: no, task: type: text-generation
name: PIQA Problem Solving
dataset: name: PIQA
type: piqa
split: validation
args: num_few_shot: 5
metrics: type: accuracy
value: 82.05
name: accuracy
verified: no, task: type: text-generation
name: OpenBookQA Facts
dataset: name: OpenBookQA
type: openbookqa
split: test
args: num_few_shot: 5
metrics: type: accuracy
value: 34.6
name: accuracy
verified: no, task: type: text-generation
name: MMLU Knowledge Test
dataset: name: MMLU
type: mmlu
config: all
split: test
args: num_few_shot: 5
metrics: type: accuracy
value: 63
name: accuracy
verified: no, task: type: text-generation
name: Hellaswag Contextual Completions
dataset: name: Hellaswag
type: hellaswag
split: validation
args: num_few_shot: 10
metrics: type: accuracy
value: 65.37
name: accuracy
verified: no, task: type: text-generation
name: GSM8k Mathematical Reasoning
dataset: name: GSM8k
type: gsm8k
split: test
args: num_few_shot: 5
metrics: type: accuracy
value: 72.18
name: exact match (strict)
verified: no, type: accuracy
value: 72.63
name: exact match (flexible)
verified: no, task: type: text-generation
name: BoolQ Question Answering
dataset: name: BoolQ
type: boolq
split: validation
args: num_few_shot: 5
metrics: type: accuracy
value: 87.43
name: accuracy
verified: no, task: type: text-generation
name: ARC Challenge
dataset: name: ARC Challenge
type: ai2_arc
split: test
args: num_few_shot: 25
metrics: type: accuracy
value: 59.64
name: accuracy
verified: no
Likes: 2 | All-time downloads: 3838
Created: 2024-05-03 14:48:15