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bert_base_lda_100_v1_book_sst2 – AI Model by gokulsrinivasagan | AlphaNeural AI
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bert_base_lda_100_v1_book_sst2
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
en
glue
gokulsrinivasagan/bert_base_lda_100_v1_book
finetune
model-index
autotrain_compatible
endpoints_compatible
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bert_base_lda_100_v1_book_sst2
This model is a fine-tuned version of
gokulsrinivasagan/bert_base_lda_100_v1_book
on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
Loss: 0.3464
Accuracy: 0.8681
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
0.3703
1.0
264
0.3464
0.8681
0.1983
2.0
528
0.3823
0.8601
0.1345
3.0
792
0.4038
0.8635
0.0969
4.0
1056
0.4161
0.8681
0.0733
5.0
1320
0.4004
0.8681
0.0575
6.0
1584
0.4363
0.8727
Framework versions
Transformers 4.46.3
Pytorch 2.2.1+cu118
Datasets 2.17.0
Tokenizers 0.20.3
