# Low-loss optimization

This model is a fine-tuned version of Alt4nsuh/long_promt-finetuned-first, suitable for handling long text prompt tasks.

A language model fine-tuned based on the Transformers library, with unspecified training dataset

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.

Model fine-tuned based on malay_full_checkpoint, specific purpose not explicitly stated

A speech recognition model fine-tuned on the speech_commands dataset based on facebook/wav2vec2-base, achieving 97.35% accuracy

A voice processing model fine-tuned based on microsoft/unispeech-sat-base, specializing in digit masking tasks, with outstanding performance on evaluation sets.

A vision model fine-tuned based on facebook/vit-mae-large for image classification tasks, achieving an accuracy of 96.83%.

Dutch legal domain base model based on RoBERTa architecture

An audio classification model based on the TRillsson3 architecture, fine-tuned for keyword detection tasks, achieving 91.5% accuracy on the evaluation set.

A multilingual speech recognition model fine-tuned on the GOOGLE/XTREME_S - MINDS14.ALL dataset based on facebook/wav2vec2-xls-r-300m

A character-level pre-trained model based on the BERT architecture, suitable for case-insensitive text processing tasks.

A Dutch BERT model fine-tuned based on GroNLP/bert-base-dutch-cased, specific purpose not explicitly stated