bert_base_train_book_ent_2_inv_stsb

This model is a fine-tuned version of gokulsrinivasagan/bert_base_train_book_ent_2_inv on the GLUE STSB dataset. It achieves the following results on the evaluation set:

• Loss: 2.2146
• Pearson: 0.2446
• Spearmanr: 0.2458
• Combined Score: 0.2452

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
2.9338	1.0	23	2.3679	0.0567	0.0764	0.0665
2.0956	2.0	46	2.7331	0.0763	0.0973	0.0868
1.9785	3.0	69	2.2288	0.1796	0.1622	0.1709
1.758	4.0	92	2.4940	0.1997	0.2073	0.2035
1.4853	5.0	115	2.2146	0.2446	0.2458	0.2452
1.2346	6.0	138	2.4769	0.2458	0.2521	0.2489
1.0148	7.0	161	2.5596	0.2639	0.2794	0.2717
0.8058	8.0	184	2.4814	0.2507	0.2557	0.2532
0.6506	9.0	207	2.7396	0.2500	0.2604	0.2552
0.5378	10.0	230	2.6361	0.2577	0.2662	0.2620

Framework versions

• Transformers 4.46.1
• Pytorch 2.6.0+cu124
• Datasets 3.1.0
• Tokenizers 0.20.3