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police-lethal-force-classifier – AI Model by Umesh | AlphaNeural AI
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Umesh
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police-lethal-force-classifier
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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police-lethal-force-classifier
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0087
Accuracy: 0.9980
F1-score: 0.9964
Recall: 0.9965
Precision: 0.9963
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
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1-score
Recall
Precision
0.0138
1.0
12050
0.0132
0.9973
0.9951
0.9953
0.9949
0.0091
2.0
24100
0.0087
0.9980
0.9964
0.9965
0.9963
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2
