# Multi-GPU fine-tuning

This model is a fine-tuned version of DeepSeek-R1-Distill-Qwen-1.5B on the Turkish-R1 dataset, mainly used for Turkish-related reasoning tasks.

Persian automatic speech recognition model based on Whisper architecture, fine-tuned on Common Voice 11.0 Persian dataset

This model is a fine-tuned version of openai/whisper-small on the google/fleurs yo_ng dataset, designed for automatic speech recognition tasks in Yoruba.

This model is an automatic speech recognition (ASR) model fine-tuned on the Turkish COMMON_VOICE dataset based on facebook/wav2vec2-large-xlsr-53, achieving a word error rate (WER) of 33.05% on the evaluation set.

This model is an automatic speech recognition model fine-tuned on Vietnamese YouTube informal audio datasets, based on facebook/wav2vec2-large-xlsr-53.

This model is an automatic speech recognition (ASR) model fine-tuned on the Turkish (TR) COMMON_VOICE dataset based on facebook/wav2vec2-xls-r-2b