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---
license: mit
tags:
- generated_from_trainer
model-index:
- name: fias_NER
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. -->
# fias_NER
This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0011
- eval_precision: 0.9993
- eval_recall: 0.9994
- eval_f1: 0.9994
- eval_accuracy: 0.9996
- eval_runtime: 783.8012
- eval_samples_per_second: 2551.667
- eval_steps_per_second: 19.935
- epoch: 1.12
- step: 1200000
## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2000000
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3
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