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[SUBMISSION] Changes to Colab Notebook Links in 1_instruction_tuning/README.md #6
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Hey, if you push your notebooks to your fork branch, we will be able to see you work and review. 😄 https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb |
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Apologies & thank you for the resource. I've added the Google Colab versions of the notebooks to https://github.com/huggingface/smol-course/tree/main/1_instruction_tuning/notebooks and then changed their links in the respective ReadMe accordingly. If this isn't the correct way or this is not the how you intended it to be, please let me know. |
Removed typos and made the documentation more readable
Included some more information about PEFT module, also removed any typos and made the documentation more readable. (Can include more things in the based on the requirements)
[MODULE] Update lora_adapters.md
…ol-course into peft-improvements
Fix: Small fixes to dpo and orpo notebooks
[TRANSLATION] Add 1_instruction_tuning EN-KO translation
[TRANSLATION] Add 1_instruction_tuning EN-ES translation
Co-authored-by: David Berenstein <[email protected]>
Co-authored-by: David Berenstein <[email protected]>
Co-authored-by: David Berenstein <[email protected]>
[MODULE] Improvements to module 3 on PEFT
Update README.md with statuses
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This looks great. Could you move your notebook to a location other than the original notebook. For example, like this:
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…datasets/readme [MODULE] Update README.md to show synthetic data WIP
Update supervised_fine_tuning.md
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Nice work! I'll merge because I haven't heard back from you. Join the discord to Discuss:
https://discord.com/channels/879548962464493619/1313889336907010110
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Apologies for the inactivity- I was tied up with end-semester exams. I'll join the Discord server to discuss the structure and continue with the work. |
[SUBMISSION] Changes to Colab Notebook Links in 1_instruction_tuning/README.md
List of changes made to chat_templates_example:
strtoVecby adding -added tokenized_text = tokenizer(input_text, return_tensors="pt")["input_ids"].squeeze().tolist(), please check once
List of changes made to sft_finetuning_example: