bert_uncased_L-2_H-128_A-2_cola

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the GLUE COLA dataset. It achieves the following results on the evaluation set:

• Loss: 0.6155
• Matthews Correlation: 0.0029
• Accuracy: 0.6903

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	Matthews Correlation	Accuracy
0.6288	1.0	34	0.6191	0.0	0.6913
0.6087	2.0	68	0.6184	0.0	0.6913
0.6076	3.0	102	0.6176	0.0	0.6913
0.6066	4.0	136	0.6169	0.0	0.6913
0.605	5.0	170	0.6170	0.0	0.6913
0.6018	6.0	204	0.6164	0.0	0.6913
0.5976	7.0	238	0.6163	0.0	0.6913
0.5871	8.0	272	0.6159	0.0464	0.6922
0.5824	9.0	306	0.6155	0.0029	0.6903
0.5711	10.0	340	0.6198	0.0198	0.6702
0.5591	11.0	374	0.6221	0.0685	0.6721
0.5496	12.0	408	0.6284	0.1240	0.6702
0.5397	13.0	442	0.6350	0.1096	0.6548
0.529	14.0	476	0.6423	0.0951	0.6433

Framework versions

• Transformers 4.46.3
• Pytorch 2.2.1+cu118
• Datasets 2.17.0
• Tokenizers 0.20.3