Upload README.md

README.md

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----
-license: apache-2.0
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+---
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: Meta-Llama-3-8B_llama_wizardllm_sorry_3k_safe_3k_66k_diverse_must_refuse_purely_harmful_declar_drop_5_decay
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Meta-Llama-3-8B_llama_wizardllm_sorry_3k_safe_3k_66k_diverse_must_refuse_purely_harmful_declar_drop_5_decay
+
+This model is a fine-tuned version of [/222043014/ciphersafe/llms/Meta-Llama-3-8B](https://huggingface.co//222043014/ciphersafe/llms/Meta-Llama-3-8B) on the None dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 1
+- seed: 1
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 2.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.0+cu118
+- Datasets 2.10.0
+- Tokenizers 0.19.1