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bert-base-cased_conll2003-CRF-first-ner – AI Model by jordyvl | AlphaNeural AI
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jordyvl
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bert-base-cased_conll2003-CRF-first-ner
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transformers
pytorch
tensorboard
bert
generated_from_trainer
conll2003
apache-2.0
endpoints_compatible
us
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bert-base-cased_conll2003-CRF-first-ner
This model is a fine-tuned version of
bert-base-cased
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.0546
Precision: 0.6483
Recall: 0.3940
F1: 0.4902
Accuracy: 0.9225
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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.089
1.0
7021
0.0522
0.6315
0.3781
0.4730
0.9193
0.0203
2.0
14042
0.0481
0.6587
0.4044
0.5011
0.9233
0.0166
3.0
21063
0.0546
0.6483
0.3940
0.4902
0.9225
Framework versions
Transformers 4.18.0
Pytorch 1.10.2+cu102
Datasets 2.2.2
Tokenizers 0.12.1
