Create README.md

README.md

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+---
+license: apache-2.0
+---
+
+# Model Card for decruz07/kellemar-DPO-7B-e
+
+<!-- Provide a quick summary of what the model is/does. -->
+Learning Rate: 5e-5, steps 300
+## Model Details
+
+Created with beta = 0.05
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** @decruz
+- **Funded by [optional]:** my full-time job
+- **Finetuned from model [optional]:** teknium/OpenHermes-2.5-Mistral-7B
+
+
+
+## Uses
+
+You can use this for basic inference. You could probably finetune with this if you want to.
+
+
+## How to Get Started with the Model
+
+You can create a space out of this, or use basic python code to call the model directly and make inferences to it.
+
+[More Information Needed]
+
+## Training Details
+
+The following was used:
+`training_args = TrainingArguments(
+    per_device_train_batch_size=4,
+    gradient_accumulation_steps=4,
+    gradient_checkpointing=True,
+    learning_rate=5e-5,
+    lr_scheduler_type="cosine",
+    max_steps=200,
+    save_strategy="no",
+    logging_steps=1,
+    output_dir=new_model,
+    optim="paged_adamw_32bit",
+    warmup_steps=100,
+    bf16=True,
+    report_to="wandb",
+)
+
+# Create DPO trainer
+dpo_trainer = DPOTrainer(
+    model,
+    ref_model,
+    args=training_args,
+    train_dataset=dataset,
+    tokenizer=tokenizer,
+    peft_config=peft_config,
+    beta=0.1,
+    max_prompt_length=1024,
+    max_length=1536,
+)`
+
+### Training Data
+
+This was trained with https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs
+
+### Training Procedure 
+
+Trained with Labonne's Google Colab Notebook on Finetuning Mistral 7B with DPO.
+
+## Model Card Authors [optional]
+
+@decruz
+
+## Model Card Contact
+
+@decruz on X/Twitter