rubert_tner_model / README.md
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metadata
base_model: DeepPavlov/rubert-base-cased
tags:
  - generated_from_trainer
datasets:
  - multinerd
model-index:
  - name: rubert_tner_model
    results: []

rubert_tner_model

This model is a fine-tuned version of DeepPavlov/rubert-base-cased on the multinerd dataset.

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 100

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 0.02 100 0.3009 0.5599 0.5719 0.5658 0.9386

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.0
  • Tokenizers 0.13.3