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bert-base-uncased-finetuned-sst2-sst2-membership – AI Model by doyoungkim | AlphaNeural AI
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doyoungkim
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bert-base-uncased-finetuned-sst2-sst2-membership
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transformers
pytorch
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-finetuned-sst2-sst2-membership
This model is a fine-tuned version of
ikevin98/bert-base-uncased-finetuned-sst2
on an unkown dataset. It achieves the following results on the evaluation set:
Loss: 1.3100
Accuracy: 1.0
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: 0.0003
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5125
1.0
3813
1.3100
1.0
Framework versions
Transformers 4.9.2
Pytorch 1.8.1
Datasets 1.11.0
Tokenizers 0.10.1
