Model: raidhon/coven_tiny_1.1b_32k_orpo_alpha
Author: raidhon
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, llama, text-generation, large-language-model, orpo, conversational, en, base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0, base_model:finetune:TinyLlama/TinyLlama-1.1B-Chat-v1.0, license:apache-2.0, model-index, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: TinyLlama/TinyLlama-1.1B-Chat-v1.0
Card metadata: language: en
license: apache-2.0
tags: text-generation, large-language-model, orpo
dataset: jondurbin/truthy-dpo-v0.1, AlekseyKorshuk/evol-codealpaca-v1-dpo, argilla/distilabel-intel-orca-dpo-pairs, argilla/ultrafeedback-binarized-avg-rating-for-dpo-filtered, snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset, mlabonne/orpo-dpo-mix-40k
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
model-index: name: Coven Tiny 1.1B
description: Coven Tiny 1.1B is a derivative of TinyLlama 1.1B Chat, 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
config: winogrande_xl
split: test
args: num_few_shot: 5
metrics: type: accuracy
value: 61.17
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: 34.31
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: 71.06
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: 30.6
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: 38.03
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: 43.44
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: 14.71
name: exact match (strict)
verified: no, type: accuracy
value: 14.63
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: 65.2
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: 34.81
name: accuracy
verified: no
Likes: 2 | All-time downloads: 4834
Created: 2024-04-23 11:33:31