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distilbert-base-cased-ner – AI Model by TunahanGokcimen | AlphaNeural AI
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distilbert-base-cased-ner
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transformers
tensorboard
safetensors
distilbert
token-classification
generated_from_trainer
bionlp2004
distilbert/distilbert-base-cased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert-base-cased-ner
This model is a fine-tuned version of
distilbert-base-cased
on the bionlp2004 dataset. It achieves the following results on the evaluation set:
Loss: 0.2048
Precision: 0.7436
Recall: 0.8059
F1: 0.7735
Accuracy: 0.9356
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: 8
eval_batch_size: 8
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
Precision
Recall
F1
Accuracy
0.2313
1.0
2078
0.2127
0.7120
0.7810
0.7449
0.9287
0.184
2.0
4156
0.1992
0.7258
0.7999
0.7611
0.9353
0.1471
3.0
6234
0.2048
0.7436
0.8059
0.7735
0.9356
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
