add_BERT_24_cola

This model is a fine-tuned version of gokuls/add_bert_12_layer_model_complete_training_new on the GLUE COLA dataset. It achieves the following results on the evaluation set:

• Loss: 0.6181
• 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: 4e-05
• train_batch_size: 128
• eval_batch_size: 128
• seed: 10
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation	Accuracy
0.6232	1.0	67	0.6214	0.0	0.6913
0.6217	2.0	134	0.6501	0.0	0.6913
0.6147	3.0	201	0.6209	0.0	0.6913
0.6131	4.0	268	0.6193	0.0	0.6913
0.6115	5.0	335	0.6181	0.0	0.6913
0.6109	6.0	402	0.6203	0.0	0.6913
0.6113	7.0	469	0.6237	0.0	0.6913
0.6124	8.0	536	0.6181	0.0	0.6913
0.6094	9.0	603	0.6277	0.0	0.6913
0.6362	10.0	670	0.6505	0.0	0.6913
0.6097	11.0	737	0.6186	0.0	0.6913
0.6113	12.0	804	0.6200	0.0	0.6913
0.6086	13.0	871	0.6294	0.0	0.6913

Framework versions

• Transformers 4.30.2
• Pytorch 1.14.0a0+410ce96
• Datasets 2.13.0
• Tokenizers 0.13.3