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begging_classification

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djsull/begging_classification

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  1. README.md +10 -13
  2. model.safetensors +1 -1
  3. runs/Jul26_08-04-24_129-146-79-76/events.out.tfevents.1721981065.129-146-79-76.1415452.0 +3 -0
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  13. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0009
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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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  ## Model description
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@@ -48,20 +48,17 @@ The following hyperparameters were used during training:
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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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  ### Training results
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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 | 0.0340 | 0.9565 | 1.0 | 0.9778 | 0.98 |
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- | No log | 2.0 | 18 | 0.0039 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 3.0 | 27 | 0.0035 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 4.0 | 36 | 0.0016 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 5.0 | 45 | 0.0013 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 6.0 | 54 | 0.0011 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 7.0 | 63 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 8.0 | 72 | 0.0009 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
 
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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: 0.0473
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  - Precision: 1.0
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+ - Recall: 0.95
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+ - F1: 0.9744
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+ - Accuracy: 0.98
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  ## Model description
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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: 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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+ | No log | 1.0 | 9 | 0.0886 | 1.0 | 0.95 | 0.9744 | 0.98 |
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+ | No log | 2.0 | 18 | 0.0473 | 1.0 | 0.95 | 0.9744 | 0.98 |
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+ | No log | 3.0 | 27 | 0.1723 | 0.9091 | 1.0 | 0.9524 | 0.96 |
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+ | No log | 4.0 | 36 | 0.1357 | 0.9524 | 1.0 | 0.9756 | 0.98 |
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+ | No log | 5.0 | 45 | 0.1361 | 0.95 | 0.95 | 0.9500 | 0.96 |
 
 
 
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  ### Framework versions
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