End of training
Browse files- README.md +19 -0
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: results_classification
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results: []
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# results_classification
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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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## Model description
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### Training results
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### Framework versions
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base_model: distilbert-base-uncased
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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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- f1
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model-index:
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- name: results_classification
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results: []
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# results_classification
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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: 0.2517
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- Accuracy: 0.9214
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- F1: 0.9214
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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| 0.152 | 0.0133 | 50 | 0.3216 | 0.9037 | 0.9033 |
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| 0.1533 | 0.0267 | 100 | 0.3024 | 0.9096 | 0.9095 |
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| 0.1443 | 0.04 | 150 | 0.3356 | 0.9017 | 0.9010 |
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| 0.1101 | 0.0533 | 200 | 0.3121 | 0.9134 | 0.9133 |
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| 0.1147 | 0.0667 | 250 | 0.3813 | 0.9005 | 0.9002 |
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| 0.1611 | 0.08 | 300 | 0.2992 | 0.9134 | 0.9129 |
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| 0.1553 | 0.0933 | 350 | 0.2858 | 0.9166 | 0.9166 |
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| 0.1268 | 0.1067 | 400 | 0.2769 | 0.9186 | 0.9185 |
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| 0.2011 | 0.12 | 450 | 0.2525 | 0.9214 | 0.9215 |
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| 0.1845 | 0.1333 | 500 | 0.2517 | 0.9214 | 0.9214 |
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### Framework versions
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model.safetensors
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training_args.bin
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