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--- |
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library_name: transformers |
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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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- 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: slot_token_classification_model |
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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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# slot_token_classification_model |
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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: 0.4739 |
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- Precision: 0.6455 |
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- Recall: 0.7092 |
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- F1: 0.6758 |
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- Accuracy: 0.8977 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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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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| 0.408 | 1.0 | 720 | 0.4998 | 0.6226 | 0.6688 | 0.6449 | 0.8909 | |
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| 0.3758 | 2.0 | 1440 | 0.4815 | 0.6349 | 0.6868 | 0.6598 | 0.8953 | |
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| 0.3383 | 3.0 | 2160 | 0.4746 | 0.6405 | 0.7002 | 0.6690 | 0.8958 | |
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| 0.3278 | 4.0 | 2880 | 0.4733 | 0.6577 | 0.7032 | 0.6797 | 0.8977 | |
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| 0.3053 | 5.0 | 3600 | 0.4739 | 0.6455 | 0.7092 | 0.6758 | 0.8977 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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