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

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

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: 0.0007
- eval_precision: 1.0
- eval_recall: 1.0
- eval_f1: 1.0
- eval_accuracy: 1.0
- eval_runtime: 0.2167
- eval_samples_per_second: 96.897
- eval_steps_per_second: 4.614
- epoch: 2.0
- step: 738

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2