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distilbert_base_lda_train_book_wnli – AI Model by gokulsrinivasagan | AlphaNeural AI
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distilbert_base_lda_train_book_wnli
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
en
glue
gokulsrinivasagan/distilbert_base_lda_train_book
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert_base_lda_train_book_wnli
This model is a fine-tuned version of
gokulsrinivasagan/distilbert_base_lda_train_book
on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
Loss: 0.7070
Accuracy: 0.4085
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
0.7153
1.0
3
0.7070
0.4085
0.6932
2.0
6
0.7231
0.3944
0.6935
3.0
9
0.7120
0.4930
0.6933
4.0
12
0.7239
0.3521
0.6892
5.0
15
0.7506
0.3521
0.6943
6.0
18
0.7540
0.1690
Framework versions
Transformers 4.46.3
Pytorch 2.2.1+cu118
Datasets 2.17.0
Tokenizers 0.20.3
