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finetuned-NER – AI Model by Sarthak7777 | AlphaNeural AI
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Sarthak7777
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finetuned-NER
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transformers
pytorch
distilbert
token-classification
generated_from_trainer
xtreme
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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finetuned-NER
This model is a fine-tuned version of
distilbert-base-uncased
on the xtreme dataset. It achieves the following results on the evaluation set:
Loss: 0.1665
Precision: 0.7896
Recall: 0.8096
F1: 0.7994
Accuracy: 0.9500
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
313
0.1728
0.7785
0.7946
0.7864
0.9465
No log
2.0
626
0.1665
0.7896
0.8096
0.7994
0.9500
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
