--- base_model: mistralai/Mistral-7B-v0.1 tags: - alignment-handbook - trl - orpo - generated_from_trainer - trl - orpo - generated_from_trainer - entity linking datasets: - daisd-ai/anydef-kilt-tasks model-index: - name: anydef-orpo results: [] license: apache-2.0 inference: false --- # anydef-orpo This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the daisd-ai/anydef-kilt-tasks dataset. Find out about Model description, Intended uses & limitations and Training and evaluation data on our [github](https://github.com/daisd-ai/universal-el). ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-06 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - 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: inverse_sqrt - lr_scheduler_warmup_steps: 100 - num_epochs: 3 ### Framework versions - Transformers 4.39.3 - Pytorch 2.1.2+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2