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bert-base-uncased-finetuned-sst2 – AI Model by minseok0809 | AlphaNeural AI
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bert-base-uncased-finetuned-sst2
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
en
glue
google-bert/bert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-finetuned-sst2
This model is a fine-tuned version of
bert-base-uncased
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.3186
Accuracy: 0.9278
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: 2e-05
train_batch_size: 512
eval_batch_size: 512
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
132
0.3186
0.9278
No log
2.0
264
0.3655
0.9243
No log
3.0
396
0.3763
0.9255
Framework versions
Transformers 4.35.2
Pytorch 1.12.1+cu113
Datasets 2.15.0
Tokenizers 0.15.0
