modernbert-base-sp-vocab-extend-70000-cl-wiki-da-orcamath

This model is a fine-tuned version of EnumaInc/modernbert-base-sp-vocab-extend-70000-cl-wiki on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4839

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 128
• total_train_batch_size: 512
• 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: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 1.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.49.0
• Pytorch 2.4.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.1