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ner-results-1 – AI Model by datmieu2k4 | AlphaNeural AI
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datmieu2k4
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ner-results-1
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transformers
safetensors
roberta
token-classification
bert-ner-address-3
generated_from_trainer
datmieu2k4/ner_results
finetune
mit
autotrain_compatible
endpoints_compatible
us
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ner-results-1
This model is a fine-tuned version of
datmieu2k4/ner_results
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0644
Precision: 0.9699
Recall: 0.9764
F1: 0.9731
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: 5e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
0.0673
1.0
35645
0.0756
0.9629
0.9714
0.9671
0.0835
2.0
71290
0.0698
0.9670
0.9754
0.9712
0.0569
3.0
106935
0.0640
0.9696
0.9762
0.9729
Framework versions
Transformers 4.46.3
Pytorch 2.4.0
Datasets 3.1.0
Tokenizers 0.20.3
