This model is a fine-tuned version of Hartunka/tiny_bert_rand_20_v2 on the GLUE COLA dataset. It achieves the following results on the evaluation set:

Loss: 0.6182
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 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
0.6153	1.0	34	0.6182	0.0	0.6913
0.601	2.0	68	0.6202	0.0	0.6913
0.5777	3.0	102	0.6294	-0.0041	0.6846
0.5335	4.0	136	0.6736	0.0676	0.6750
0.4924	5.0	170	0.6791	0.0717	0.6462
0.4569	6.0	204	0.7303	0.0557	0.6395

Framework versions

Transformers 4.50.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.21.1

Hartunka/tiny_bert_rand_20_v2_cola

tiny_bert_rand_20_v2_cola

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hartunka/
tiny_bert_rand_20_v2_cola