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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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