modernbert-fineweb-is

This model is a fine-tuned version of answerdotai/ModernBERT-base on the Icelandic portion of Fineweb-2.

Model description

More information needed

Intended uses & limitations

This model is intended to be a baseline for research purposes. It uses the original ModernBERT tokenizer trained on predominantly English data, which will obviously not be ideal.

Training and evaluation data

Trained on Fineweb-2.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 64
• total_train_batch_size: 256
• optimizer: Use 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_ratio: 0.05
• num_epochs: 1

Training results

Framework versions

• Transformers 4.49.0.dev0
• Pytorch 2.5.1
• Datasets 3.2.0
• Tokenizers 0.21.0