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Electra-VNJob-NER
tinh2312/Electra-VNJob-NER
Electra-VNJob-NER is a token classification model from tinh2312. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Dec 10, 2024
- Updated
- Dec 11, 2024
- SHA
- f5399ef3
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Token Classification
- Library
- transformers
- Type
- electra
- Created
- Dec 10, 2024
- Updated
- Dec 11, 2024