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Bert-political-classification – AI Model by harshal-11 | AlphaNeural AI
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Bert-political-classification
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Bert-political-classification
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: 0.4234
eval_accuracy: 0.8393
eval_f1: 0.6213
eval_precision: 0.6361
eval_recall: 0.6116
eval_runtime: 6.9231
eval_samples_per_second: 555.386
eval_steps_per_second: 34.811
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: 5e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5
Framework versions
Transformers 4.40.2
Pytorch 2.1.2
Tokenizers 0.19.1
