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Products_NER – AI Model by Atheer174 | AlphaNeural AI
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Atheer174
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Products_NER
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transformers
pytorch
bert
token-classification
generated_from_trainer
dslim/bert-base-NER
finetune
mit
autotrain_compatible
endpoints_compatible
us
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Products_NER
This model is a fine-tuned version of
dslim/bert-base-NER
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0022
Precision: 0.9991
Recall: 0.9992
F1: 0.9992
Accuracy: 0.9996
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
Precision
Recall
F1
Accuracy
0.0051
1.0
2470
0.0035
0.9981
0.9986
0.9984
0.9992
0.0016
2.0
4940
0.0022
0.9991
0.9992
0.9992
0.9996
Framework versions
Transformers 4.33.2
Pytorch 1.13.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3
