🎠Sentiment Analysis with michel-nano
When fine-tuned on the Stanford NLP SST-2 dataset, michel-nano-v2 (9M params) achieves an accuracy of ~85%, comparable to much larger models such as BERT-Mini.
âš¡ Click to instantly fill & run
When fine-tuned on the Stanford NLP SST-2 dataset, michel-nano-v2 (9M params) achieves an accuracy of ~85%, comparable to much larger models such as BERT-Mini.
âš¡ Click to instantly fill & run