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moviesReview5classBert – AI Model by AhmedTaha012 | AlphaNeural AI
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AhmedTaha012
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moviesReview5classBert
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transformers
pytorch
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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moviesReview5classBert
This model is a fine-tuned version of
google/bert_uncased_L-4_H-512_A-8
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6000
Accuracy: 0.1798
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: 32
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.6807
0.97
19
1.6000
0.1798
Framework versions
Transformers 4.20.1
Pytorch 1.12.0
Datasets 2.1.0
Tokenizers 0.12.1
