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bert_base_train_book_ent_1_wnli – AI Model by gokulsrinivasagan | AlphaNeural AI
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bert_base_train_book_ent_1_wnli
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
en
glue
gokulsrinivasagan/bert_base_train_book_ent_1
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert_base_train_book_ent_1_wnli
This model is a fine-tuned version of
gokulsrinivasagan/bert_base_train_book_ent_1
on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
Loss: 0.6861
Accuracy: 0.5352
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
0.7107
1.0
3
0.6861
0.5352
0.7052
2.0
6
0.7128
0.4225
0.7098
3.0
9
0.7114
0.4507
0.7015
4.0
12
0.7106
0.4507
0.6978
5.0
15
0.7092
0.4225
0.6993
6.0
18
0.7073
0.4648
Framework versions
Transformers 4.46.1
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.20.3
