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bert_base_train_book_ent_1_inv_qnli – AI Model by gokulsrinivasagan | AlphaNeural AI
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bert_base_train_book_ent_1_inv_qnli
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
en
glue
gokulsrinivasagan/bert_base_train_book_ent_1_inv
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
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bert_base_train_book_ent_1_inv_qnli
This model is a fine-tuned version of
gokulsrinivasagan/bert_base_train_book_ent_1_inv
on the GLUE QNLI dataset. It achieves the following results on the evaluation set:
Loss: 0.6556
Accuracy: 0.6035
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 OptimizerNames.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
0.6759
1.0
410
0.6556
0.6035
0.6471
2.0
820
0.6645
0.6061
0.6036
3.0
1230
0.6665
0.6057
0.5183
4.0
1640
0.7273
0.6021
0.4159
5.0
2050
0.8088
0.6064
0.3252
6.0
2460
0.9653
0.6021
Framework versions
Transformers 4.46.1
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.20.3
