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README.md
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metrics:
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- name: Precision
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type: precision
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value: 0.
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- name: Recall
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type: recall
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value: 0.
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- name: F1
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type: f1
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value: 0.
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- name: Accuracy
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type: accuracy
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value: 0.
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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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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the indian_names dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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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 | 66 | 0.
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| No log | 2.0 | 132 | 0.
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| No log | 3.0 | 198 | 0.
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| No log | 4.0 | 264 | 0.
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| No log | 5.0 | 330 | 0.
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### Framework versions
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metrics:
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- name: Precision
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type: precision
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value: 0.9905686167304538
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- name: Recall
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type: recall
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value: 0.910427135678392
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- name: F1
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type: f1
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value: 0.9488085886357684
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- name: Accuracy
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type: accuracy
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value: 0.983080223080223
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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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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the indian_names dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0679
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- Precision: 0.9906
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- Recall: 0.9104
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- F1: 0.9488
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- Accuracy: 0.9831
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## Model description
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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 | 66 | 0.1499 | 0.7872 | 0.7281 | 0.7565 | 0.9557 |
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| No log | 2.0 | 132 | 0.1338 | 0.8289 | 0.7524 | 0.7888 | 0.9612 |
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| No log | 3.0 | 198 | 0.0884 | 0.9959 | 0.9053 | 0.9484 | 0.9820 |
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| No log | 4.0 | 264 | 0.0750 | 0.9964 | 0.9070 | 0.9496 | 0.9826 |
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| No log | 5.0 | 330 | 0.0679 | 0.9906 | 0.9104 | 0.9488 | 0.9831 |
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### Framework versions
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