CarlosDataAnalysis
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README.md
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tags:
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- generated_from_trainer
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metrics:
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# test-NERv3
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss:
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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 results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1
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### Framework versions
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license: mit
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base_model: roberta-large
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tags:
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- generated_from_trainer
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metrics:
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# test-NERv3
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0802
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- Precision: 0.0073
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- Recall: 0.0128
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- F1: 0.0093
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- Accuracy: 0.1767
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## Model description
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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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| 2.1106 | 1.0 | 14 | 2.0802 | 0.0073 | 0.0128 | 0.0093 | 0.1767 |
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### Framework versions
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