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README.md ADDED
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+ ---
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+ base_model: mlabonne/Marcoro14-7B-slerp
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+ license: apache-2.0
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+ datasets:
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+ - argilla/distilabel-intel-orca-dpo-pairs
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+ ---
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+
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+ # Model Card for decruz07/kellemar-DPO-Orca-Distilled-7B
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ This model was created using mlabonne/Marcoro14-7B-slerp as the base, and finetuned with argilla/distilabel-intel-orca-dpo-pairs
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+
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+
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+ ## Model Details
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+
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+ Finetuned with these specific parameters:
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+ Steps: 200
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+ Learning Rate: 5e5
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+ Beta: 0.1
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+ - **Developed by:** @decruz
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+ - **Funded by [optional]:** my full-time job
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+ - **Finetuned from model [optional]:** mlabonne/Marcoro14-7B-slerp
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+
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+ ## Benchmarks
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+ Top 5 in OpenLLM Benchmarks as of 2024/01/17
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+
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+ **OpenLLM**
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+ |Model| Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
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+ |---|---|---|---|---|---|---|---|
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+ |**kellemar-DPO-Orca-Distilled-7B-SLERP**| 73.71 | 70.48 | 87.56 | 65.33 |64.97 | 81.93 | 72.02 |
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+
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+ **Nous**
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+ Model| AGIEval | GPT4All | TruthfulQA | Bigbench | Average |
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+ |---|---|---|---|---|---|
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+ |**kellemar-DPO-Orca-Distilled-7B-SLERP**| 45.27 | 76.42 | 65.48 | 47.21 |58.6 |
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+ |Marcoro14-7B-slerp| 44.66 | 76.24 | 64.15 | 45.64 |57.67 |
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+ |kellemar-DPO-Orca-Distilled-7B| 43.61 | 73.14 | 55.73 | 42.28 |53.69 |
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+ |kellemar-Orca-DPO-7B| 43.35 | 73.43 | 54.02 | 42.24 |53.26 |
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+ |OpenHermes-2.5-Mistral-7B| 43.07 | 73.12 | 53.04 | 40.96 |52.38 |
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+
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+ ## Uses
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+
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+ You can use this for basic inference. You could probably finetune with this if you want to.
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+
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+
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+ ## How to Get Started with the Model
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+
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+ You can create a space out of this, or use basic python code to call the model directly and make inferences to it.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ The following was used:
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+ `training_args = TrainingArguments(
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+ per_device_train_batch_size=4,
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+ gradient_accumulation_steps=4,
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+ gradient_checkpointing=True,
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+ learning_rate=5e-5,
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+ lr_scheduler_type="cosine",
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+ max_steps=200,
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+ save_strategy="no",
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+ logging_steps=1,
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+ output_dir=new_model,
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+ optim="paged_adamw_32bit",
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+ warmup_steps=100,
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+ bf16=True,
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+ report_to="wandb",
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+ )
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+
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+ # Create DPO trainer
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+ dpo_trainer = DPOTrainer(
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+ model,
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+ ref_model,
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+ args=training_args,
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+ train_dataset=dataset,
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+ tokenizer=tokenizer,
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+ peft_config=peft_config,
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+ beta=0.1,
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+ max_prompt_length=1024,
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+ max_length=1536,
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+ )`
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+
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+ ### Training Data
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+
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+ This was trained with https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs
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+
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+ ### Training Procedure
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+
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+ Trained with Labonne's Google Colab Notebook on Finetuning Mistral 7B with DPO.
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+
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+ ## Model Card Authors [optional]
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+
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+ @decruz
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+
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+ ## Model Card Contact
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+
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+ @decruz on X/Twitter
config.json ADDED
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+ {
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+ "MistralForCausalLM"
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+ "hidden_act": "silu",
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+ "initializer_range": 0.02,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.36.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ "bos_token_id": 1,
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+ "transformers_version": "4.36.2"
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+ }
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