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bert-tiny-finetuned-xglue-ner – AI Model by muhtasham | AlphaNeural AI
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muhtasham
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bert-tiny-finetuned-xglue-ner
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
xglue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-tiny-finetuned-xglue-ner
This model is a fine-tuned version of
google/bert_uncased_L-2_H-128_A-2
on the xglue dataset. It achieves the following results on the evaluation set:
Loss: 0.2489
Precision: 0.6308
Recall: 0.6681
F1: 0.6489
Accuracy: 0.9274
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
0.4082
1.0
1756
0.3326
0.5600
0.5798
0.5697
0.9118
0.2974
2.0
3512
0.2635
0.6143
0.6562
0.6346
0.9248
0.2741
3.0
5268
0.2489
0.6308
0.6681
0.6489
0.9274
Framework versions
Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
