bert_base_train_book_ent_15p_s_init_stsb

This model is a fine-tuned version of gokulsrinivasagan/bert_base_train_book_ent_15p_s_init on the GLUE STSB dataset. It achieves the following results on the evaluation set:

• Loss: 2.3759
• Pearson: nan
• Spearmanr: nan
• Combined Score: nan

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 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
3.2768	1.0	23	2.3872	nan	nan	nan
2.2537	2.0	46	2.5971	nan	nan	nan
2.1653	3.0	69	2.4241	nan	nan	nan
2.1567	4.0	92	2.4241	nan	nan	nan
2.1568	5.0	115	2.3759	nan	nan	nan
2.1631	6.0	138	2.3759	nan	nan	nan
2.1703	7.0	161	2.4954	nan	nan	nan
2.1686	8.0	184	2.4954	nan	nan	nan
2.1553	9.0	207	2.4512	nan	nan	nan
2.1512	10.0	230	2.5971	nan	nan	nan

Framework versions

• Transformers 4.51.2
• Pytorch 2.6.0+cu126
• Datasets 3.5.0
• Tokenizers 0.21.1