mobilebert_add_GLUE_Experiment_logit_kd_cola

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

• Loss: 0.6744
• Matthews Correlation: -0.0079

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: 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
0.8111	1.0	67	0.6859	0.0
0.7968	2.0	134	0.6865	0.0
0.796	3.0	201	0.6835	0.0
0.7938	4.0	268	0.6813	0.0
0.7828	5.0	335	0.6768	0.0
0.7651	6.0	402	0.6750	0.0
0.7594	7.0	469	0.6960	0.0
0.7592	8.0	536	0.6800	0.0
0.7463	9.0	603	0.6789	0.0
0.7437	10.0	670	0.6795	0.0
0.7401	11.0	737	0.6745	-0.0079
0.7398	12.0	804	0.6744	-0.0079
0.7328	13.0	871	0.6813	0.0587
0.7321	14.0	938	0.6881	0.0794
0.7315	15.0	1005	0.6784	0.0615
0.7295	16.0	1072	0.6816	0.0385
0.7297	17.0	1139	0.6986	0.0503

Framework versions

• Transformers 4.26.0
• Pytorch 1.14.0a0+410ce96
• Datasets 2.9.0
• Tokenizers 0.13.2