Arithmetic Model L2 H2 D256

--- library_name: transformers tags: - generated_from_trainer model-index: - name: arithmetic-model-L2_H2_D256 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # arithmetic-model-L2_H2_D256 This model is a fine-tuned version of [](https://huggingface.co/) 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: 0.001 - train_batch_size: 256 - eval_batch_size: 16 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 0.05 - num_epochs: 10 ### Training results ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 4.8.5 - Tokenizers 0.22.2

Source context: 11 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo CrossBaseArithmetic/arithmetic-model-L2_H2_D256

Source context: 216 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo CrossBaseArithmetic/arithmetic-model-L2_H2_D256