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bert-base-uncased-sst2 – AI Model by kowsiknd | AlphaNeural AI
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kowsiknd
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bert-base-uncased-sst2
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
sst2
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-sst2
This model is a fine-tuned version of
bert-base-uncased
on the sst2 dataset. It achieves the following results on the evaluation set:
Loss: 0.9312
Accuracy: 0.876
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
125
1.0209
0.836
No log
2.0
250
1.0430
0.85
No log
3.0
375
0.9312
0.876
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
