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test-finetuned-ner – AI Model by HYM | AlphaNeural AI
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test-finetuned-ner
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transformers
pytorch
bert
token-classification
generated_from_trainer
cc-by-nc-sa-4.0
autotrain_compatible
endpoints_compatible
us
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test-finetuned-ner
This model is a fine-tuned version of
hfl/chinese-pert-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1687
Precision: 0.7449
Recall: 0.7717
F1: 0.7581
Accuracy: 0.9546
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: 3
eval_batch_size: 3
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
0.1234
1.0
9387
0.1513
0.6954
0.7365
0.7153
0.9505
0.0841
2.0
18774
0.1462
0.7248
0.7630
0.7434
0.9533
0.0542
3.0
28161
0.1687
0.7449
0.7717
0.7581
0.9546
Framework versions
Transformers 4.13.0
Pytorch 1.8.0+cu111
Datasets 2.4.0
Tokenizers 0.10.3
