MiniModernBERT-glue-stsb

This model is a fine-tuned version of kartikeya-pandey/MiniModernBERT-Pretrained on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.6332
• eval_model_preparation_time: 0.002
• eval_pearson: 0.8481
• eval_spearman: 0.8461
• eval_runtime: 3.7769
• eval_samples_per_second: 397.155
• eval_steps_per_second: 49.777
• step: 0

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.56.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.0