nosnic's picture
Update README.md
2ba3aec verified
|
raw
history blame
2.12 kB
metadata
base_model: ai-forever/ruT5-base
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: ruT5_clickbait_title_generator
    results: []
language:
  - ru

ruT5_clickbait_title_generator

This model is a fine-tuned version of ai-forever/ruT5-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.2898
  • Bleu: 5.3699
  • Gen Len: 16.6005

Model description

Model for generating clickbait titles for non-clickbait

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 114 2.7730 3.0092 15.861
No log 2.0 228 2.5655 3.9211 16.0397
No log 3.0 342 2.4573 4.7281 16.4218
No log 4.0 456 2.3735 5.0843 16.2531
3.5284 5.0 570 2.3490 5.7483 16.5533
3.5284 6.0 684 2.3254 5.6331 16.4963
3.5284 7.0 798 2.3095 5.6877 16.6898
3.5284 8.0 912 2.2949 5.6496 16.5583
2.6344 9.0 1026 2.2913 5.4792 16.6452
2.6344 10.0 1140 2.2898 5.3699 16.6005

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2