--- license: apache-2.0 base_model: cyberagent/calm2-7b-chat tags: - generated_from_trainer model-index: - name: top200mystery results: [] --- [Built with Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) # top200mystery This model is a fine-tuned version of [cyberagent/calm2-7b-chat](https://huggingface.co/cyberagent/calm2-7b-chat) on an unknown dataset. ## 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: 0.0002 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - distributed_type: multi-GPU - num_devices: 3 - gradient_accumulation_steps: 64 - total_train_batch_size: 6144 - total_eval_batch_size: 96 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 10 - num_epochs: 3 ### Framework versions - Transformers 4.34.1 - Pytorch 2.0.1+cu118 - Datasets 2.14.6 - Tokenizers 0.14.1