a-scarlett/NLC2CMD
Browse files- README.md +11 -5
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: results
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results: []
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0107
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- Model Preparation Time: 0.
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- F1: 0.9970
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | F1 |
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| 0.0166 | 0.3367 | 100 | 0.0102 | 0.
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| 0.0022 | 0.6734 | 200 | 0.0052 | 0.
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### Framework versions
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- generated_from_trainer
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metrics:
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- f1
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- precision
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- recall
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- accuracy
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model-index:
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- name: results
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results: []
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0107
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- Model Preparation Time: 0.0007
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- F1: 0.9970
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- Precision: 0.9971
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- Recall: 0.9970
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- Accuracy: 0.9970
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | F1 | Precision | Recall | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:----------------------:|:------:|:---------:|:------:|:--------:|
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| 0.0166 | 0.3367 | 100 | 0.0102 | 0.0007 | 0.9979 | 0.9979 | 0.9979 | 0.9979 |
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| 0.0022 | 0.6734 | 200 | 0.0052 | 0.0007 | 0.9983 | 0.9983 | 0.9983 | 0.9983 |
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### Framework versions
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model.safetensors
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training_args.bin
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