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bert-sst2 – AI Model by alejoa | AlphaNeural AI
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alejoa
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bert-sst2
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-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: 0.3616
Accuracy: 0.9140
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2447
1.0
8419
0.3422
0.9117
0.1435
2.0
16838
0.3616
0.9140
Framework versions
Transformers 4.30.2
Pytorch 2.0.1
Datasets 2.14.5
Tokenizers 0.13.3
