Fine-Tuning Qwen3 on Your Data Using Single GPU - Sentiment Analysis for Cryptocurrency Tweets

Fine-Tuning Qwen3 on Your Data Using Single GPU - Sentiment Analysis for Cryptocurrency Tweets

Venelin Valkov via YouTube Direct link

00:00 - Welcome

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1 of 18

00:00 - Welcome

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Classroom Contents

Fine-Tuning Qwen3 on Your Data Using Single GPU - Sentiment Analysis for Cryptocurrency Tweets

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  1. 1 00:00 - Welcome
  2. 2 00:58 - Live bootcamp sessions on MLExpert.io
  3. 3 01:48 - Dataset
  4. 4 02:57 - Notebook setup
  5. 5 04:18 - Loading the data and preprocessing
  6. 6 08:21 - Creating HuggingFace datasets including prompt
  7. 7 13:21 - Tokenizer
  8. 8 15:36 - Counting tokens
  9. 9 16:55 - Model loading and quantization
  10. 10 19:53 - LoRA configuration
  11. 11 20:30 - Baseline untrained model evaluation
  12. 12 25:43 - Training arguments and training
  13. 13 33:35 - Training logs review in Tensorboard
  14. 14 35:47 - Saving and merging the trained model
  15. 15 37:35 - Evaluating the trained model
  16. 16 41:40 - Training on completions only
  17. 17 44:13 - Qwen3 thinking budget
  18. 18 45:58 - Conclusion

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