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bert_tiny_lda_100_v1_book_wnli – AI Model by gokulsrinivasagan | AlphaNeural AI | AlphaNeural AI
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bert_tiny_lda_100_v1_book_wnli
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
en
glue
gokulsrinivasagan/bert_tiny_lda_100_v1_book
finetune
model-index
autotrain_compatible
endpoints_compatible
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bert_tiny_lda_100_v1_book_wnli
This model is a fine-tuned version of
gokulsrinivasagan/bert_tiny_lda_100_v1_book
on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
Loss: 0.6929
Accuracy: 0.5634
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
0.7022
1.0
3
0.6929
0.5634
0.6965
2.0
6
0.7019
0.4085
0.6972
3.0
9
0.7064
0.4789
0.6917
4.0
12
0.7017
0.4789
0.6919
5.0
15
0.7101
0.3662
0.6925
6.0
18
0.7247
0.3239
Framework versions
Transformers 4.46.3
Pytorch 2.2.1+cu118
Datasets 2.17.0
Tokenizers 0.20.3
