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--- |
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base_model: ai-forever/ruBert-large |
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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: cc-rank-large |
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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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# cc-rank-large |
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This model is a fine-tuned version of [ai-forever/ruBert-large](https://huggingface.co./ai-forever/ruBert-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8567 |
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- Accuracy: 0.7972 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 3 |
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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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| 0.6389 | 0.5666 | 200 | 0.5407 | 0.7191 | |
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| 0.4392 | 1.1331 | 400 | 0.4775 | 0.7929 | |
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| 0.2205 | 1.6997 | 600 | 0.6664 | 0.7759 | |
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| 0.1778 | 2.2663 | 800 | 1.0319 | 0.7858 | |
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| 0.1502 | 2.8329 | 1000 | 0.8464 | 0.7986 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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