answerdotai-ModernBERT-basezijiewang-anion.train.no.negation.true.irrelevant1e-06-64

This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4106

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: 1e-06
• train_batch_size: 64
• eval_batch_size: 256
• seed: 42
• 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
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
0.5041	1.0	1432	0.5099
0.4578	2.0	2864	0.4666
0.4374	3.0	4296	0.4497
0.4253	4.0	5728	0.4336
0.4122	5.0	7160	0.4330
0.4034	6.0	8592	0.4209
0.3956	7.0	10024	0.4143
0.3796	8.0	11456	0.4118
0.3717	9.0	12888	0.4089
0.3713	10.0	14320	0.4062
0.3543	11.0	15752	0.4084
0.3493	12.0	17184	0.4024
0.3397	13.0	18616	0.4037
0.329	14.0	20048	0.4101
0.3176	15.0	21480	0.4106

Framework versions

• Transformers 4.51.2
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1