bert_tiny_lda_20_v1_book_qnli – AI Model by gokulsrinivasagan | AlphaNeural AI

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gokulsrinivasagan/
bert_tiny_lda_20_v1_book_qnli

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text-classification

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gokulsrinivasagan/bert_tiny_lda_20_v1_book

autotrain_compatible

endpoints_compatible

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bert_tiny_lda_20_v1_book_qnli

This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_20_v1_book on the GLUE QNLI dataset. It achieves the following results on the evaluation set:

Loss: 0.4112
Accuracy: 0.8170

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
0.5552	1.0	410	0.5006	0.7705
0.4442	2.0	820	0.4149	0.8155
0.378	3.0	1230	0.4112	0.8170
0.3178	4.0	1640	0.4808	0.8021
0.2591	5.0	2050	0.4954	0.7992
0.2115	6.0	2460	0.5165	0.8072
0.1671	7.0	2870	0.6289	0.7983
0.1377	8.0	3280	0.6667	0.7957

Framework versions

Transformers 4.46.3
Pytorch 2.2.1+cu118
Datasets 2.17.0
Tokenizers 0.20.3