tinybert_base_train_book_ent_15p_s_init_kd_complete_mrpc – AI Model by gokulsrinivasagan | AlphaNeural AI

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tinybert_base_train_book_ent_15p_s_init_kd_complete_mrpc

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text-classification

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gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete

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tinybert_base_train_book_ent_15p_s_init_kd_complete_mrpc

This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

Loss: 0.5765
Accuracy: 0.6985
F1: 0.7815
Combined Score: 0.7400

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
0.6228	1.0	15	0.5892	0.6961	0.8032	0.7496
0.5797	2.0	30	0.5779	0.7230	0.8138	0.7684
0.5574	3.0	45	0.5947	0.6961	0.8144	0.7552
0.5367	4.0	60	0.5765	0.6985	0.7815	0.7400
0.4783	5.0	75	0.6074	0.6887	0.7590	0.7239
0.4161	6.0	90	0.5776	0.7279	0.8103	0.7691
0.334	7.0	105	0.7083	0.7304	0.8248	0.7776
0.2768	8.0	120	0.9136	0.7206	0.8267	0.7737
0.232	9.0	135	0.8386	0.7426	0.8341	0.7884

Framework versions

Transformers 4.51.2
Pytorch 2.6.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1