tinybert_base_train_book_ent_15p_s_init_book_mrpc – AI Model by gokulsrinivasagan | AlphaNeural AI

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gokulsrinivasagan/
tinybert_base_train_book_ent_15p_s_init_book_mrpc

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text-classification

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gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_book

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endpoints_compatible

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tinybert_base_train_book_ent_15p_s_init_book_mrpc

This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_book on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

Loss: 0.5825
Accuracy: 0.7010
F1: 0.8111
Combined Score: 0.7561

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	Accuracy	F1	Combined Score
0.6257	1.0	15	0.6032	0.6961	0.8086	0.7524
0.584	2.0	30	0.5825	0.7010	0.8111	0.7561
0.5483	3.0	45	0.6029	0.7059	0.8171	0.7615
0.5131	4.0	60	0.5927	0.6863	0.7808	0.7335
0.4597	5.0	75	0.6270	0.6985	0.7897	0.7441
0.3832	6.0	90	0.6773	0.7034	0.7987	0.7511
0.3111	7.0	105	0.7539	0.7083	0.8096	0.7590

Framework versions

Transformers 4.51.2
Pytorch 2.6.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1