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--- |
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license: mit |
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base_model: cointegrated/rubert-tiny2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: 128Bert |
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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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# 128Bert |
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This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8346 |
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- Accuracy: 0.7033 |
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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: 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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 1.1934 | 1.0 | 2074 | 1.1488 | 0.6027 | |
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| 1.0626 | 2.0 | 4148 | 1.0247 | 0.6459 | |
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| 0.9729 | 3.0 | 6222 | 0.9483 | 0.6658 | |
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| 0.908 | 4.0 | 8296 | 0.9041 | 0.6811 | |
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| 0.8684 | 5.0 | 10370 | 0.8771 | 0.6897 | |
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| 0.8348 | 6.0 | 12444 | 0.8593 | 0.6956 | |
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| 0.8055 | 7.0 | 14518 | 0.8507 | 0.6991 | |
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| 0.7924 | 8.0 | 16592 | 0.8410 | 0.7017 | |
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| 0.7857 | 9.0 | 18666 | 0.8349 | 0.7037 | |
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| 0.7732 | 10.0 | 20740 | 0.8346 | 0.7033 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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