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# openhermes-2_5-dpo-no-robots 

This model is a RL fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on a preference dataset derived from HuggingFace's [no robots dataset](https://huggingface.co/datasets/HuggingFaceH4/no_robots) using DPO.


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- training_steps: 408

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["winglian/no_robots_rlhf", "HuggingFaceH4/no_robots"], "base_model": "teknium/OpenHermes-2.5-Mistral-7B", "model-index": [{"name": "qlora-out", "results": []}]}
transformers safetensors mistral text-generation generated_from_trainer conversational dataset:winglian/no_robots_rlhf dataset:HuggingFaceH4/no_robots base_model:teknium/OpenHermes-2.5-Mistral-7B license:apache-2.0 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us