This model is a fine-tuned version of gokulsrinivasagan/bert_base_lda_50 on the GLUE COLA dataset. It achieves the following results on the evaluation set:

Loss: 0.6178
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: 0.001
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: 30

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss	Matthews Correlation
0.663	1.0	90	0.6913	0.6221	0.0
0.608	2.0	180	0.6913	0.6239	0.0
0.6097	3.0	270	0.6913	0.6183	0.0
0.6138	4.0	360	0.6913	0.6182	0.0
0.613	5.0	450	0.6221	0.0	0.6913
0.6137	6.0	540	0.6187	0.0	0.6913
0.6097	7.0	630	0.6178	0.0	0.6913
0.609	8.0	720	0.6219	0.0	0.6913
0.6095	9.0	810	0.6215	0.0	0.6913
0.6093	10.0	900	0.6188	0.0	0.6913
0.6094	11.0	990	0.6183	0.0	0.6913
0.6094	12.0	1080	0.6192	0.0	0.6913

Framework versions

Transformers 4.46.3
Pytorch 2.2.1+cu118
Datasets 2.17.0
Tokenizers 0.20.3

gokulsrinivasagan/bert_base_lda_50_cola

bert_base_lda_50_cola

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gokulsrinivasagan/
bert_base_lda_50_cola