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bert_base_train_book_ent_15p_lda_wnli – AI Model by gokulsrinivasagan | AlphaNeural AI
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bert_base_train_book_ent_15p_lda_wnli
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
en
glue
gokulsrinivasagan/bert_base_train_book_ent_15p_lda
finetune
model-index
autotrain_compatible
endpoints_compatible
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bert_base_train_book_ent_15p_lda_wnli
This model is a fine-tuned version of
gokulsrinivasagan/bert_base_train_book_ent_15p_lda
on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
Loss: 0.6989
Accuracy: 0.5211
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
0.7563
1.0
3
0.6989
0.5211
0.7194
2.0
6
0.7267
0.3944
0.7069
3.0
9
0.7361
0.3099
0.6993
4.0
12
0.7546
0.2394
0.6863
5.0
15
0.7944
0.3521
0.6905
6.0
18
0.7825
0.2676
Framework versions
Transformers 4.51.2
Pytorch 2.6.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1
