modernbert-rater-code-score-v2

This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8704
• Accuracy: 0.622

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: 0.00016
• train_batch_size: 128
• eval_batch_size: 128
• 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: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	34	0.9026	0.58
No log	2.0	68	0.8457	0.618
No log	3.0	102	0.8704	0.622

Framework versions

• Transformers 4.51.2
• Pytorch 2.4.1+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1