tinybert_book_ent_15p_b_rte – AI Model by gokulsrinivasagan | AlphaNeural AI

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gokulsrinivasagan/
tinybert_book_ent_15p_b_rte

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text-classification

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gokulsrinivasagan/tinybert_book_ent_15p_b

autotrain_compatible

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tinybert_book_ent_15p_b_rte

This model is a fine-tuned version of gokulsrinivasagan/tinybert_book_ent_15p_b on the GLUE RTE dataset. It achieves the following results on the evaluation set:

Loss: 0.6888
Accuracy: 0.5451

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
0.7067	1.0	10	0.6945	0.4657
0.6914	2.0	20	0.6888	0.5451
0.679	3.0	30	0.6916	0.5271
0.6657	4.0	40	0.6988	0.5090
0.6446	5.0	50	0.7286	0.5668
0.6042	6.0	60	0.7575	0.4982
0.5335	7.0	70	0.8270	0.5018

Framework versions

Transformers 4.51.2
Pytorch 2.6.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1