DPOpenHermes
OpenHermes x NoRobots x Neural
This model is a RL fine-tuned version of teknium/OpenHermes-2.5-Mistral-7B on the Intel/orca_dpo_pairs and winglian/no_robots_rlhf datasets.
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- training_steps: 1348
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for openaccess-ai-collective/dpopenhermes-alpha-v0
Base model
mistralai/Mistral-7B-v0.1
Finetuned
teknium/OpenHermes-2.5-Mistral-7B