bert_base_train_book_ent_2_inv_cola

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

• Loss: 0.6176
• Matthews Correlation: 0.0
• Accuracy: 0.6913

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	Matthews Correlation	Accuracy
0.6167	1.0	34	0.6231	0.0	0.6913
0.6124	2.0	68	0.6176	0.0	0.6913
0.6042	3.0	102	0.6221	-0.0079	0.6894
0.5902	4.0	136	0.6327	-0.0112	0.6874
0.5581	5.0	170	0.6435	0.0687	0.6874
0.5256	6.0	204	0.6595	0.0700	0.6146
0.5127	7.0	238	0.6980	0.1002	0.5570

Framework versions

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