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update model card README.md
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: war-tiny-bert
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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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# war-tiny-bert
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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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- Loss: 0.3438
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- F1: 0.6929
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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: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 21
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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 | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|
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| 0.3216 | 1.0 | 2500 | 0.2645 | 0.5988 |
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| 0.2388 | 2.0 | 5000 | 0.2379 | 0.6496 |
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| 0.2067 | 3.0 | 7500 | 0.2375 | 0.6696 |
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| 0.1822 | 4.0 | 10000 | 0.2553 | 0.6740 |
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| 0.1661 | 5.0 | 12500 | 0.2770 | 0.6725 |
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| 0.1509 | 6.0 | 15000 | 0.2853 | 0.6965 |
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| 0.1423 | 7.0 | 17500 | 0.3187 | 0.6765 |
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| 0.1322 | 8.0 | 20000 | 0.3277 | 0.6958 |
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| 0.1256 | 9.0 | 22500 | 0.3411 | 0.6909 |
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| 0.1224 | 10.0 | 25000 | 0.3438 | 0.6929 |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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