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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ruBert-base-1-4

This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co./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