metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-cased-ru-cola_32_3e-05_lr_0.1_decay_balanced
results: []
bert-base-cased-ru-cola_32_3e-05_lr_0.1_decay_balanced
This model is a fine-tuned version of sberbank-ai/ruBert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5267
- Accuracy: 0.8026
- Mcc: 0.4195
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2