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Products_NER3 – AI Model by Atheer174 | AlphaNeural AI
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Atheer174
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Products_NER3
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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_NER3
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: 0.1094
Precision: 0.8738
Recall: 0.9052
F1: 0.8892
Accuracy: 0.9365
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1207
1.0
2470
0.1094
0.8738
0.9052
0.8892
0.9365
Framework versions
Transformers 4.33.2
Pytorch 1.13.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3
