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license: apache-2.0
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# SamagraDataGov/test_model_mobbert
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This is a text-classification model fine-tuned on `google/mobilebert-uncased` using the dataset `
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train: Dataset({
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features: ['record_id', 'text', 'class', 'label'],
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num_rows: 17
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})
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test: Dataset({
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features: ['record_id', 'text', 'class', 'label'],
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num_rows: 17
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})
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})`.
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## Evaluation Results
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Below are the evaluation metrics from the training run:
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license: apache-2.0
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---
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# SamagraDataGov/test_model_mobbert
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This is a text-classification model fine-tuned on `google/mobilebert-uncased` using the dataset `SamagraDataGov/test_convo`.
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## Evaluation Results
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Below are the evaluation metrics from the training run:
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| Metric | Value |
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| --- | --- |
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| eval_loss | 2995482.75 |
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| eval_f1 | 0.32 |
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| eval_runtime | 0.7196 |
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| eval_samples_per_second | 23.624 |
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| eval_steps_per_second | 23.624 |
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| epoch | 2.0 |
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