ruBert-base-1-third
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: 0.3779
- eval_accuracy: 0.9186
- eval_runtime: 6.5943
- eval_samples_per_second: 1819.757
- eval_steps_per_second: 56.867
- epoch: 7.12
- step: 10678
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: 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: 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
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Model tree for Adammz/ruBert-base-1-third
Base model
ai-forever/ruBert-base