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bert-finetuned-imdb – AI Model by ankitanand9 | AlphaNeural AI
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ankitanand9
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bert-finetuned-imdb
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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bert-finetuned-imdb
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.2293
eval_model_preparation_time: 0.0012
eval_accuracy: 0.915
eval_f1: 0.9157
eval_runtime: 7.8548
eval_samples_per_second: 636.551
eval_steps_per_second: 79.569
step: 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: 2e-05
train_batch_size: 32
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
Framework versions
Transformers 4.44.2
Pytorch 2.13.0+cu130
Datasets 2.21.0
Tokenizers 0.19.1