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