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lm-ner-linkedin-skills-recognition – AI Model by algiraldohe | AlphaNeural AI
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algiraldohe
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lm-ner-linkedin-skills-recognition
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transformers
pytorch
tensorboard
distilbert
token-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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lm-ner-linkedin-skills-recognition
This model is a fine-tuned version of
algiraldohe/distilbert-base-uncased-linkedin-domain-adaptation
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0307
Precision: 0.9119
Recall: 0.9312
F1: 0.9214
Accuracy: 0.9912
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1301
1.0
729
0.0468
0.8786
0.8715
0.8750
0.9863
0.0432
2.0
1458
0.0345
0.8994
0.9219
0.9105
0.9900
0.0332
3.0
2187
0.0307
0.9119
0.9312
0.9214
0.9912
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3