Model: Konstantin-Bogdanoski/wav2vec2-macedonian-base
Author: Konstantin-Bogdanoski
Pipeline: automatic-speech-recognition
Library: transformers
Tags: transformers, pytorch, safetensors, wav2vec2, automatic-speech-recognition, mk, doi:10.57967/hf/0848, license:mit, endpoints_compatible, region:us
Card metadata: license: mit
language: mk
pipeline_tag: automatic-speech-recognition
model_details: architecture: Wav2Vec2
fine-tuned_on: Custom dataset for Macedonian language
source: Konstantin Bogdanoski
intended_use: Speech recognition, Speech-to-text applications in Macedonian
inputs: audio: type: audio file (WAV format)
description: The audio file containing the spoken language in Macedonian
outputs: transcription: type: string
description: The recognized text transcription of the input audio
model_parameters: Wav2Vec2ForCTC: name: Konstantin-Bogdanoski/wav2vec2-macedonian-base
type: model weights, name: Konstantin-Bogdanoski/wav2vec2-macedonian-base
type: tokenizer
evaluation_metrics: Word Error Rate (WER), Character Error Rate (CER), Accuracy
training_data: Custom dataset for Macedonian language
preprocessing: Audio signal normalization, Tokenization
training_hyperparameters: Learning rate: 0.0001, Batch size: 1, Epochs: 50
training_computational_requirements: GPU: Nvidia GTX 1060, CPU: Core i7 4790, 4c/8t, 3.6GHz, RAM: 16GB
model_card_version: 1
last_updated: 2023-07-04T00:00:00.000Z
Likes: 0 | All-time downloads: 1560
Created: 2023-07-04 13:06:50