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README.md

@@ -15,7 +15,7 @@ thumbnail: https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources
 
 This model was trained using [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio).
 - Base model: [openlm-research/open_llama_13b](https://huggingface.co/openlm-research/open_llama_13b)
-- Dataset preparation: [OpenAssistant/oasst1](https://github.com/h2oai/h2o-llmstudio/blob/1935d84d9caafed3ee686ad2733eb02d2abfce57/app_utils/utils.py#LL1896C5-L1896C28) personalized
+
 
 ## Usage
 
@@ -173,6 +173,16 @@ LlamaForCausalLM(
 
 This model was trained using H2O LLM Studio and with the configuration in [cfg.yaml](cfg.yaml). Visit [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio) to learn how to train your own large language models.
 
+
+## Model Validation
+
+Model validation results using [EleutherAI lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness).
+
+```bash
+CUDA_VISIBLE_DEVICES=0 python main.py --model hf-causal-experimental --model_args pretrained=h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-13b --tasks openbookqa,arc_easy,winogrande,hellaswag,arc_challenge,piqa,boolq --device cuda &> eval.log
+```
+
+
 ## Disclaimer
 
 Please read this disclaimer carefully before using the large language model provided in this repository. Your use of the model signifies your agreement to the following terms and conditions.