--- tags: - generated_from_trainer model-index: - name: minillama2 results: [] --- # minillama2 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - eval_loss: 3.9366 - eval_runtime: 0.8539 - eval_samples_per_second: 149.905 - eval_steps_per_second: 2.342 - epoch: 0.1147 - step: 4300 ## 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: 0.0005 - train_batch_size: 32 - eval_batch_size: 64 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 256 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 100 - training_steps: 37500.0 ### Framework versions - Transformers 4.44.0 - Pytorch 2.2.1 - Datasets 2.20.0 - Tokenizers 0.19.1