Modelpublic

gokulsrinivasagan/tinybert_train_book_ent_15p_mid_mrpc

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face

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tinyberttrainbookent15pmidmrpc

This model is a fine-tuned version of gokulsrinivasagan/tinybert_train_book_ent_15p_mid on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

—Loss: 0.6241
—Accuracy: 0.6838
—F1: 0.8122
—Combined Score: 0.7480

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
—trainbatchsize: 256
—evalbatchsize: 256
—seed: 10
—optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
—lrschedulertype: linear
—num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Combined Score
0.6351	1.0	15	0.6255	0.6838	0.8122	0.7480
0.6347	2.0	30	0.6243	0.6838	0.8122	0.7480
0.6143	3.0	45	0.6241	0.6838	0.8122	0.7480
0.5916	4.0	60	0.6596	0.5711	0.6269	0.5990
0.5301	5.0	75	0.6269	0.7034	0.8	0.7517
0.4009	6.0	90	0.8088	0.6863	0.7816	0.7339
0.3157	7.0	105	0.9178	0.6789	0.7768	0.7279
0.2669	8.0	120	1.0058	0.7108	0.8115	0.7611

Framework versions

—Transformers 4.51.2
—Pytorch 2.6.0+cu126
—Datasets 3.5.0
—Tokenizers 0.21.1