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distilbert-base-cased-gmb-ner – AI Model by bobbyw | AlphaNeural AI
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bobbyw
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distilbert-base-cased-gmb-ner
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transformers
pytorch
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-cased-gmb-ner
This model is a fine-tuned version of
distilbert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0907
F1: 0.8453
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: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.1287
1.0
1402
0.0948
0.8283
0.0732
2.0
2804
0.0867
0.8409
0.0498
3.0
4206
0.0907
0.8453
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1
