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metadata
base_model: DeepPavlov/rubert-base-cased
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: news_topic_classification
    results: []

news_topic_classification

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

  • Loss: 0.7058
  • F1: 0.8712

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: 10
  • eval_batch_size: 10
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss F1
0.7979 1.0 700 0.5218 0.8569
0.3673 2.0 1400 0.5402 0.8697
0.2483 3.0 2100 0.6277 0.8668
0.1684 4.0 2800 0.6599 0.8712
0.1099 5.0 3500 0.7058 0.8712

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3