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distilBERT-infoExtract – AI Model by tony4194 | AlphaNeural AI
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distilBERT-infoExtract
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transformers
pytorch
distilbert
token-classification
generated_from_trainer
en
conll2003
distilbert/distilbert-base-cased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilBERT-infoExtract
This model is a fine-tuned version of
distilbert-base-cased
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.0718
Precision: 0.9134
Recall: 0.9369
F1: 0.9250
Accuracy: 0.9832
Model description
The model can identify human name, organization and location so far (no time recognition). It was trained for 5 minutes with T4 GPU on Colab.
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
0.0954
1.0
1756
0.0846
0.8880
0.9194
0.9034
0.9769
0.0498
2.0
3512
0.0699
0.9057
0.9310
0.9182
0.9815
0.031
3.0
5268
0.0718
0.9134
0.9369
0.9250
0.9832
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
