Update README.md

README.md

@@ -37,7 +37,6 @@ model = AutoModelForCausalLM.from_pretrained("jrc/phi3-mini-math", trust_remote_
 
 Phi3 was trained using [torchtune]() and the training script + config file are located in this repository.
 
-CMD:
 ```bash
 tune run lora_finetune_distributed.py --config mini_lora.yaml 
 ```
@@ -56,7 +55,6 @@ tune run lora_finetune_distributed.py --config mini_lora.yaml
 
 The finetuned model is evaluated on [minerva-math](https://research.google/blog/minerva-solving-quantitative-reasoning-problems-with-language-models/) using [EleutherAI Eval Harness](https://github.com/EleutherAI/lm-evaluation-harness) through torchtune.
 
-CMD: 
 ```bash
 tune run eleuther_eval --config eleuther_evaluation \
           checkpoint.checkpoint_dir=./lora-phi3-math \
@@ -64,7 +62,6 @@ tune run eleuther_eval --config eleuther_evaluation \
           batch_size=32 
 ```
 
-RESULTS:
 
 |               Tasks                |Version|Filter|n-shot|  Metric   |Value |   |Stderr|
 |------------------------------------|-------|------|-----:|-----------|-----:|---|-----:|
@@ -87,28 +84,6 @@ RESULTS:
 
 Max VRAM used per GPU: 29 GB
 
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-## Glossary [optional]
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 ## Model Card Contact
 
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