Create README.md

README.md

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+This repo contains a low-rank adapter for LLaMA-7b fit on the Stanford Alpaca dataset.
+
+This version of the weights was trained with the following hyperparameters:
+
+    [Cleaned dataset](https://github.com/gururise/AlpacaDataCleaned): Snapshot March 31, 2023
+    Epochs: 3
+    Validation set size: 2000
+    Batch size: 128
+    Micro batch size: 12
+    Cutoff length: 512
+    Learning rate: 3e-4
+    Lora r: 8
+    Lora target modules: q_proj, v_proj
+
+That is:
+
+python finetune.py \
+    --base_model='decapoda-research/llama-7b-hf' \
+    --data_path 'yahma/alpaca-cleaned' \
+    --num_epochs=3 \
+    --cutoff_len=512 \
+    --output_dir='./lora-alpaca' \
+    --lora_target_modules='[q_proj,v_proj]' \
+    --lora_r=8 \
+    --val_set_size 2000 \
+    --micro_batch_size=12
+