roberta-large-stsb-lr2e-05-bs32

This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0166
• Pearson: 0.9185
• Spearman: 0.9187

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
0.0509	1.0	180	0.0232	0.8807	0.8813
0.0327	2.0	360	0.0201	0.9042	0.9041
0.0263	3.0	540	0.0165	0.9119	0.9097
0.0216	4.0	720	0.0223	0.9162	0.9153
0.0206	5.0	900	0.0143	0.9188	0.9175
0.0183	6.0	1080	0.0186	0.9180	0.9164
0.0161	7.0	1260	0.0151	0.9220	0.9203
0.0137	8.0	1440	0.0141	0.9203	0.9189
0.0124	9.0	1620	0.0179	0.9218	0.9200
0.0112	10.0	1800	0.0144	0.9215	0.9214
0.0113	11.0	1980	0.0150	0.9218	0.9198
0.0093	12.0	2160	0.0144	0.9181	0.9171
0.0089	13.0	2340	0.0166	0.9185	0.9187

Framework versions

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