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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: rubert-base-cased-token
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# rubert-base-cased-token
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This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2595
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- Precision: 0.9304
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- Recall: 0.9334
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- F1: 0.9319
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- Accuracy: 0.9424
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 16
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- eval_batch_size: 16
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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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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 69 | 0.6926 | 0.7731 | 0.7674 | 0.7702 | 0.8200 |
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| No log | 2.0 | 138 | 0.3744 | 0.8665 | 0.8807 | 0.8735 | 0.9003 |
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| No log | 3.0 | 207 | 0.2891 | 0.9004 | 0.9071 | 0.9037 | 0.9231 |
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| No log | 4.0 | 276 | 0.2566 | 0.9123 | 0.9217 | 0.9170 | 0.9327 |
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| No log | 5.0 | 345 | 0.2587 | 0.9211 | 0.9255 | 0.9233 | 0.9366 |
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| No log | 6.0 | 414 | 0.2472 | 0.9264 | 0.9289 | 0.9276 | 0.9401 |
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| No log | 7.0 | 483 | 0.2589 | 0.9267 | 0.9313 | 0.9290 | 0.9406 |
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| 0.3825 | 8.0 | 552 | 0.2559 | 0.9286 | 0.9334 | 0.9310 | 0.9416 |
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| 0.3825 | 9.0 | 621 | 0.2578 | 0.9304 | 0.9339 | 0.9321 | 0.9425 |
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| 0.3825 | 10.0 | 690 | 0.2595 | 0.9304 | 0.9334 | 0.9319 | 0.9424 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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