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begging_classification

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djsull/begging_classification

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  1. README.md +72 -0
  2. config.json +38 -0
  3. model.safetensors +3 -0
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README.md ADDED
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+ ---
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+ base_model: klue/roberta-small
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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: begging_classification
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+ results: []
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+ ---
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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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+
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+ # begging_classification
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+
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+ This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0058
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+ - Precision: 1.0
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+ - Recall: 1.0
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+ - F1: 1.0
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+ - Accuracy: 1.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 64
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+ - eval_batch_size: 64
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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: 8
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 9 | 0.0203 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 2.0 | 18 | 0.0690 | 1.0 | 0.9643 | 0.9818 | 0.98 |
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+ | No log | 3.0 | 27 | 0.0058 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 4.0 | 36 | 0.0186 | 1.0 | 0.9643 | 0.9818 | 0.98 |
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+ | No log | 5.0 | 45 | 0.0104 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 6.0 | 54 | 0.0377 | 1.0 | 0.9643 | 0.9818 | 0.98 |
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+ | No log | 7.0 | 63 | 0.0433 | 1.0 | 0.9643 | 0.9818 | 0.98 |
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+ | No log | 8.0 | 72 | 0.0168 | 1.0 | 0.9643 | 0.9818 | 0.98 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.3
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.19.1
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