roberta-large-nsp-1000000-1e-06-32-stsb-lr2e-05-bs32

This model is a fine-tuned version of mhr2004/roberta-large-nsp-1000000-1e-06-32 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0175
• Pearson: 0.9197
• Spearman: 0.9199

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: 2e-05
• train_batch_size: 32
• eval_batch_size: 32
• 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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearman
0.0378	1.0	180	0.0204	0.8831	0.8870
0.0309	2.0	360	0.0175	0.9099	0.9075
0.0272	3.0	540	0.0195	0.9053	0.9077
0.0207	4.0	720	0.0184	0.9118	0.9097
0.0188	5.0	900	0.0167	0.9094	0.9114
0.0168	6.0	1080	0.0205	0.9157	0.9175
0.0134	7.0	1260	0.0141	0.9192	0.9184
0.0127	8.0	1440	0.0249	0.9148	0.9130
0.0117	9.0	1620	0.0167	0.9206	0.9202
0.011	10.0	1800	0.0146	0.9173	0.9186
0.0098	11.0	1980	0.0152	0.9176	0.9177
0.0097	12.0	2160	0.0199	0.9207	0.9211
0.0085	13.0	2340	0.0147	0.9210	0.9204
0.0082	14.0	2520	0.0158	0.9210	0.9200
0.0078	15.0	2700	0.0175	0.9197	0.9199

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu124
• Datasets 3.3.2
• Tokenizers 0.21.1