Model: waveletdeboshir/whisper-base-ser-dusha
Author: waveletdeboshir
Pipeline: audio-classification
Library: transformers
Tags: transformers, safetensors, whisper, audio-classification, SER, speech, emotion, ru, base_model:openai/whisper-base, base_model:finetune:openai/whisper-base, model-index, endpoints_compatible, region:us
Base models (finetune): id: openai/whisper-base
Card metadata: language: ru
base_model: openai/whisper-base
pipeline_tag: audio-classification
library_name: transformers
tags: SER, speech, emotion
model-index: name: Whisper-base for Speech Emotion Recognition in Russian
results: task: name: Audio Classification
type: speech-emotion-recognition
dataset: name: Sberdevices Dusha (crowd)
type: SberDevices/Dusha
args: ru
metrics: name: Test Weighted Accuracy
type: acc
value: 0.8364
verified: no, name: Test F1 macro
type: f1
value: 0.8429
verified: no, name: Test Recall macro
type: recall
value: 0.83
verified: no, name: Test Precision macro
type: precision
value: 0.85
verified: no
metrics: f1
Likes: 0 | All-time downloads: 155
Created: 2025-07-07 14:19:13