Update README.md

README.md

@@ -1,3 +1,24 @@
----
-license: mit
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+This repo contains a low-rank adapter for LLaMA-13b fit on the Stanford Alpaca dataset.
+
+This version of the weights was trained on dual RTX3090 with the following hyperparameters:
+
+Epochs: 10
+Batch size: 128
+Cutoff length: 256
+Learning rate: 3e-4
+Lora r: 16
+Lora alpha: 16
+Lora target modules: q_proj, k_proj, v_proj, o_proj
+That is:
+
+OMP_NUM_THREADS=4 WORLD_SIZE=2 CUDA_VISIBLE_DEVICES=0,1 torchrun --nproc_per_node=2 --master_port=1234 finetune.py \
+    --base_model='decapoda-research/llama-13b-hf' \
+    --data_path="yahma/alpaca-cleaned' \
+    --num_epochs=10 \
+    --output_dir='./lora-alpaca-13b-256-qkvo' \
+    --lora_target_modules='[q_proj,k_proj,v_proj,o_proj]' \
+    --lora_r=16 \
+    --val_set_size=0 \
+    --micro_batch_size=32
+
+Instructions for running it can be found at https://github.com/tloen/alpaca-lora.