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--- |
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license: mit |
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base_model: xlm-roberta-base |
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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: test-trainer |
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results: [] |
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language: |
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- en |
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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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# test-trainer |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the cryptocurrency dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2337 |
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- Accuracy: 0.9169 |
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## Model description |
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intent search detection : |
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Navigational: Users want to find a specific page (e.g., “reddit login”) |
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Informational: Users want to learn more about something (e.g., “what is seo”) |
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Commercial: Users want to do research before making a purchase decision (e.g., “best coffee maker”) |
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Transactional: Users want to complete a specific action, usually a purchase (e.g., “buy subaru forester”) |
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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: 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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| 0.3629 | 1.0 | 14391 | 0.3249 | 0.8866 | |
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| 0.313 | 2.0 | 28782 | 0.2640 | 0.9067 | |
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| 0.2723 | 3.0 | 43173 | 0.2337 | 0.9169 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
