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my_awesome_wnut_model – AI Model by BahAdoR0101 | AlphaNeural AI
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my_awesome_wnut_model
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transformers
pytorch
bert
token-classification
generated_from_trainer
job-titles
dslim/bert-large-NER
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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my_awesome_wnut_model
This model is a fine-tuned version of
dslim/bert-large-NER
on the job-titles dataset. It achieves the following results on the evaluation set:
Loss: 0.6603
Precision: 0.9992
Recall: 0.9996
F1: 0.9994
Accuracy: 0.6347
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
0.6666
1.0
4587
0.6615
1.0
1.0
1.0
0.6331
0.6617
2.0
9174
0.6603
0.9992
0.9996
0.9994
0.6347
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1
