distilbert_lda_100_v1_book_stsb

This model is a fine-tuned version of gokulsrinivasagan/distilbert_lda_100_v1_book on the GLUE STSB dataset. It achieves the following results on the evaluation set:

• Loss: 0.7981
• Pearson: 0.8060
• Spearmanr: 0.8014
• Combined Score: 0.8037

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: 5e-05
• train_batch_size: 256
• eval_batch_size: 256
• seed: 10
• 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: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearmanr	Combined Score
3.1376	1.0	23	2.3444	0.1800	0.1657	0.1729
1.571	2.0	46	1.4977	0.6469	0.6552	0.6511
1.0298	3.0	69	0.9940	0.7483	0.7462	0.7472
0.8795	4.0	92	1.0649	0.7622	0.7710	0.7666
0.6951	5.0	115	1.5036	0.7508	0.7848	0.7678
0.5558	6.0	138	0.9067	0.7878	0.7914	0.7896
0.4306	7.0	161	0.8333	0.8051	0.8039	0.8045
0.3592	8.0	184	0.9582	0.7967	0.7975	0.7971
0.2847	9.0	207	1.0402	0.7929	0.7954	0.7942
0.2689	10.0	230	0.7981	0.8060	0.8014	0.8037
0.2368	11.0	253	0.8628	0.8101	0.8083	0.8092
0.2088	12.0	276	1.0529	0.7991	0.8011	0.8001
0.1912	13.0	299	0.8878	0.8011	0.8013	0.8012
0.1618	14.0	322	0.8757	0.7959	0.7943	0.7951
0.1557	15.0	345	0.8971	0.8001	0.7979	0.7990

Framework versions

• Transformers 4.46.1
• Pytorch 2.2.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.1