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
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