fias_NER

This model is a fine-tuned version of cointegrated/rubert-tiny2 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0011
• eval_precision: 0.9993
• eval_recall: 0.9994
• eval_f1: 0.9994
• eval_accuracy: 0.9996
• eval_runtime: 783.8012
• eval_samples_per_second: 2551.667
• eval_steps_per_second: 19.935
• epoch: 1.12
• step: 1200000

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 2000000

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu117
• Datasets 2.13.0
• Tokenizers 0.13.3