ruBert-base-1-4 / README.md
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metadata
license: apache-2.0
base_model: ai-forever/ruBert-base
tags:
  - generated_from_trainer
model-index:
  - name: ruBert-base-1-4
    results: []

ruBert-base-1-4

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

  • eval_loss: 0.3719
  • eval_accuracy: 0.9187
  • eval_runtime: 7.3504
  • eval_samples_per_second: 1632.566
  • eval_steps_per_second: 51.018
  • epoch: 9.64
  • step: 14464

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: 1e-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
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0