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distilbert-base-uncased-finetuned-ner-invoiceSenderName1912 – AI Model by Lilya | AlphaNeural AI
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Lilya
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distilbert-base-uncased-finetuned-ner-invoiceSenderName1912
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transformers
pytorch
distilbert
token-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-ner-invoiceSenderName1912
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4109
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.9669
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
1
0.6428
0.0
0.0
0.0
0.7603
No log
2.0
2
0.5174
0.0
0.0
0.0
0.9421
No log
3.0
3
0.4444
0.0
0.0
0.0
0.9669
No log
4.0
4
0.4109
0.0
0.0
0.0
0.9669
Framework versions
Transformers 4.15.0
Pytorch 1.10.0
Datasets 2.3.2
Tokenizers 0.10.3
