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Cybonto-distilbert-base-uncased-finetuned-ner-v0.1 – AI Model by theResearchNinja | AlphaNeural AI
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Cybonto-distilbert-base-uncased-finetuned-ner-v0.1
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transformers
pytorch
tensorboard
distilbert
token-classification
generated_from_trainer
few_nerd
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
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Cybonto-distilbert-base-uncased-finetuned-ner-v0.1
This model is a fine-tuned version of
distilbert-base-uncased
on the few_nerd dataset. It achieves the following results on the evaluation set:
Loss: 0.1930
Precision: 0.7378
Recall: 0.7818
F1: 0.7591
Accuracy: 0.9383
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: 36
eval_batch_size: 36
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
0.2001
1.0
3661
0.1954
0.7244
0.7750
0.7488
0.9360
0.1717
2.0
7322
0.1898
0.7392
0.7767
0.7575
0.9384
0.1485
3.0
10983
0.1930
0.7378
0.7818
0.7591
0.9383
Framework versions
Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6
