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finance-ner-v0.0.4-finetuned-ner – AI Model by AhmedTaha012 | AlphaNeural AI
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AhmedTaha012
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finance-ner-v0.0.4-finetuned-ner
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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finance-ner-v0.0.4-finetuned-ner
This model is a fine-tuned version of
dslim/bert-base-NER
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0001
Precision: 0.9988
Recall: 1.0
F1: 0.9994
Accuracy: 1.0000
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
0.0
1.0
1413
0.0000
0.9994
0.9998
0.9996
1.0000
Framework versions
Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
