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Update README.md

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@@ -18,7 +18,7 @@ This version of the weights was trained with the following hyperparameters:
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  - Batch size: 128
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  - Micro batch size: 4
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  - Learning rate: 3e-4
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- - Lora _r_: 16
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  - Lora target modules: query_key_value
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  You can reproduce using this repository:
@@ -29,10 +29,9 @@ Make sure you install requirements and finetune using this command using the fol
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  ```
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  python finetune.py \
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- --base-model='tiiuae/falcon-40b' \
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- --num-epochs=2 \
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- --output-dir='./jinaai/falcon-7b' \
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- --lora-target-modules=query_key_value \
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- --lora-r=16 \
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- --micro-batch-size=4
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  ```
 
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  - Batch size: 128
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  - Micro batch size: 4
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  - Learning rate: 3e-4
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+ - Lora _r_: 8
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  - Lora target modules: query_key_value
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  You can reproduce using this repository:
 
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  ```
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  python finetune.py \
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+ --base-model tiiuae/falcon-40b --lora-target-modules query_key_value \
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+ --data-path sahil2801/CodeAlpaca-20k --output-dir ./lora-alpaca-code \
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+ --batch-size 128 --micro-batch-size 4 --eval-limit 45 \
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+ --eval-file code_eval.jsonl --wandb-project jerboa --wandb-log-model \
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+ --wandb-watch gradients --num-epochs 2
 
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  ```