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Electra-VNJob-NER – AI Model by tinh2312 | AlphaNeural AI

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tinh2312/
Electra-VNJob-NER

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token-classification

generated_from_trainer

tinh2312/Electra-VNJob-NER

autotrain_compatible

endpoints_compatible

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Electra-VNJob-NER

This model is a fine-tuned version of tinh2312/Electra-VNJob-NER on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1292
eval_precision: 0.6738
eval_recall: 0.7605
eval_f1: 0.7145
eval_accuracy: 0.9515
eval_runtime: 38.9967
eval_samples_per_second: 141.525
eval_steps_per_second: 2.231
epoch: 0.5148
step: 400

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 100

Framework versions

Transformers 4.47.0
Pytorch 2.4.0
Datasets 3.1.0
Tokenizers 0.21.0