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SQL-Generation

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4 contributors

History: 40 commits

MikeTerekhov's picture

Create rag_metadata.py

6cb0a90 verified about 2 months ago

deepseek-coder-1.3b-instruct
Add column evaluator about 2 months ago
fine-tuned-model-16
Storing 16 and 32 rank LoRA finetuned models about 2 months ago
fine-tuned-model-32
Storing 16 and 32 rank LoRA finetuned models about 2 months ago
fine-tuned-model-8-diff
trained 8 rank LoRA finetuned model, saving train and validation datasets to disk about 2 months ago
fine-tuned-model-8
first cut at fine-tuning with masked training, working but very very slow for inference about 2 months ago
nba-data
added nba kaggle sqlite database and testing python notebook 2 months ago
train-data
first cut at adding data augmentation python notebook about 2 months ago
train.hf
trained 8 rank LoRA finetuned model, saving train and validation datasets to disk about 2 months ago
val.hf
trained 8 rank LoRA finetuned model, saving train and validation datasets to disk about 2 months ago
.gitattributes

1.56 kB

added nba kaggle sqlite database and testing python notebook 2 months ago
README.md

5.11 kB

Test 2 months ago
augment_data.ipynb

13.6 kB

first cut at adding data augmentation python notebook about 2 months ago
database_setup.ipynb

1.81 kB

added nba kaggle sqlite database and testing python notebook 2 months ago
demo.py

5.42 kB

Renamed demo script and added initial pre-trained test python notebook 2 months ago
finetune_model.ipynb

256 kB

added fine-tune testing on validation set with short queries only about 2 months ago
rag_metadata.py

2.3 kB

Create rag_metadata.py about 2 months ago
test_finetuned.ipynb

31 kB

switch fine-tuned evaluation script to use 8 rank model about 2 months ago
test_pretrained.ipynb

31.8 kB

ran full testing with updated prompt, improves team and other_stats performance, slight drop on game performance about 2 months ago
test_rag.py

16.5 kB

Create test_rag.py about 2 months ago