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bert-sentiment-analysis-model-25k-samples – AI Model by Camelia7v | AlphaNeural AI
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Camelia7v
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bert-sentiment-analysis-model-25k-samples
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
imdb
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-sentiment-analysis-model-25k-samples
This model is a fine-tuned version of
bert-base-uncased
on the imdb dataset. It achieves the following results on the evaluation set:
Loss: 0.2139
Accuracy: 0.9395
F1: 0.9395
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
