README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - universal_dependencies
metrics:
  - f1
model-index:
  - name: rubert-base-cased-finetuned-panx-de
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: universal_dependencies
          type: universal_dependencies
          config: ru_taiga
          split: train
          args: ru_taiga
        metrics:
          - name: F1
            type: f1
            value: 0.6469997769350881

rubert-base-cased-finetuned-panx-de

This model is a fine-tuned version of DeepPavlov/rubert-base-cased on the universal_dependencies dataset. It achieves the following results on the evaluation set:

• Loss: 0.9529
• F1: 0.6470

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: 5e-05
• train_batch_size: 24
• eval_batch_size: 24
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.3108	1.0	131	1.0921	0.5891
0.8144	2.0	262	0.9781	0.6257
0.6165	3.0	393	0.9529	0.6470

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu117
• Datasets 2.7.1
• Tokenizers 0.13.2