Merge pull request #158 from d-kleine/main

(minor) Updated vscode extensions and gitignore, added missing word
This commit is contained in:
Sebastian Raschka 2024-05-15 06:17:57 -05:00 committed by GitHub
commit a26fd9d02a
4 changed files with 20 additions and 2 deletions

16
.gitignore vendored
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@ -3,26 +3,41 @@ appendix-D/01_main-chapter-code/1.pdf
appendix-D/01_main-chapter-code/2.pdf
appendix-D/01_main-chapter-code/3.pdf
appendix-E/01_main-chapter-code/loss-plot.pdf
ch05/01_main-chapter-code/loss-plot.pdf
ch05/01_main-chapter-code/temperature-plot.pdf
ch05/01_main-chapter-code/the-verdict.txt
ch06/01_main-chapter-code/loss-plot.pdf
ch06/01_main-chapter-code/accuracy-plot.pdf
# Checkpoint files
appendix-A/01_main-chapter-code/model.pth
appendix-E/01_main-chapter-code/gpt2
ch05/01_main-chapter-code/gpt2/
ch05/02_alternative_weight_loading/checkpoints
ch05/01_main-chapter-code/model.pth
ch05/01_main-chapter-code/model_and_optimizer.pth
ch05/03_bonus_pretraining_on_gutenberg/model_checkpoints
ch06/01_main-chapter-code/gpt2
ch06/02_bonus_additional-experiments/gpt2
ch06/03_bonus_imdb-classification/gpt2
# Datasets
appendix-E/01_main-chapter-code/sms_spam_collection.zip
appendix-E/01_main-chapter-code/sms_spam_collection
appendix-E/01_main-chapter-code/train.csv
appendix-E/01_main-chapter-code/test.csv
appendix-E/01_main-chapter-code/validation.csv
ch02/01_main-chapter-code/number-data.txt
ch05/03_bonus_pretraining_on_gutenberg/gutenberg
ch05/03_bonus_pretraining_on_gutenberg/gutenberg_preprocessed
ch06/01_main-chapter-code/sms_spam_collection.zip
ch06/01_main-chapter-code/sms_spam_collection
ch06/01_main-chapter-code/test.csv
@ -39,6 +54,7 @@ ch06/03_bonus_imdb-classification/test.csv
ch06/03_bonus_imdb-classification/train.csv
ch06/03_bonus_imdb-classification/validation.csv
# Temporary OS-related files
.DS_Store

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@ -1390,7 +1390,7 @@
"id": "1f87f5e6-339e-4fcf-900b-6d845d3c713d",
"metadata": {},
"source": [
"- As we can based on the relatively high accuracy values above, the LoRA finetuning was successful"
"- As we can see based on the relatively high accuracy values above, the LoRA finetuning was successful"
]
}
],

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@ -6,5 +6,6 @@
"ms-vscode-remote.vscode-remote-extensionpack",
"yahyabatulu.vscode-markdown-alert",
"tomoki1207.pdf",
"mechatroner.rainbow-csv"
]
}

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@ -12,7 +12,8 @@
"ms-azuretools.vscode-docker",
"ms-toolsai.jupyter",
"yahyabatulu.vscode-markdown-alert",
"tomoki1207.pdf"
"tomoki1207.pdf",
"mechatroner.rainbow-csv"
]
}
}