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README.md
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# fias_NER
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This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on an unknown dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps:
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### Framework versions
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# fias_NER
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This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0011
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- eval_precision: 0.9993
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- eval_recall: 0.9994
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- eval_f1: 0.9994
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- eval_accuracy: 0.9996
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- eval_runtime: 783.8012
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- eval_samples_per_second: 2551.667
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- eval_steps_per_second: 19.935
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- epoch: 1.12
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- step: 1200000
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps: 2000000
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### Framework versions
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