mobilebert_sa_GLUE_Experiment_data_aug_mrpc_128

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

• Loss: 0.0
• Accuracy: 1.0
• F1: 1.0
• Combined Score: 1.0

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	Accuracy	F1	Combined Score
0.2019	1.0	1959	0.0211	0.9926	0.9947	0.9936
0.0464	2.0	3918	0.0122	0.9951	0.9964	0.9958
0.0307	3.0	5877	0.0049	0.9975	0.9982	0.9979
0.0223	4.0	7836	0.0041	0.9975	0.9982	0.9979
0.0179	5.0	9795	0.0006	1.0	1.0	1.0
0.0147	6.0	11754	0.0005	1.0	1.0	1.0
0.012	7.0	13713	0.0001	1.0	1.0	1.0
0.0086	8.0	15672	0.0001	1.0	1.0	1.0
0.0064	9.0	17631	0.0000	1.0	1.0	1.0
0.0058	10.0	19590	0.0000	1.0	1.0	1.0
0.0043	11.0	21549	0.0000	1.0	1.0	1.0
0.0035	12.0	23508	0.0000	1.0	1.0	1.0
0.003	13.0	25467	0.0001	1.0	1.0	1.0
0.0024	14.0	27426	0.0000	1.0	1.0	1.0
0.0018	15.0	29385	0.0000	1.0	1.0	1.0
0.0017	16.0	31344	0.0000	1.0	1.0	1.0
0.0014	17.0	33303	0.0000	1.0	1.0	1.0
0.0014	18.0	35262	0.0000	1.0	1.0	1.0
0.001	19.0	37221	0.0000	1.0	1.0	1.0
0.0008	20.0	39180	0.0000	1.0	1.0	1.0
0.0009	21.0	41139	0.0	1.0	1.0	1.0
0.0006	22.0	43098	0.0000	1.0	1.0	1.0
0.0007	23.0	45057	0.0000	1.0	1.0	1.0
0.0004	24.0	47016	0.0000	1.0	1.0	1.0
0.0007	25.0	48975	0.0	1.0	1.0	1.0
0.0002	26.0	50934	0.0	1.0	1.0	1.0

Framework versions

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