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update model card README.md
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: roberta-ivrmenu-entity
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results: []
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# roberta-ivrmenu-entity
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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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## Model description
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### Training results
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.1+cu117
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- Datasets 2.12.0
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- Tokenizers 0.12.1
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---
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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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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: roberta-ivrmenu-entity
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results: []
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# roberta-ivrmenu-entity
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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: nan
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- Precision: 0.8282
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- Recall: 0.8911
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- F1: 0.8585
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- Accuracy: 0.9345
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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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| No log | 1.0 | 2 | nan | 0.9036 | 0.4950 | 0.6397 | 0.6503 |
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| No log | 2.0 | 4 | nan | 0.5952 | 0.5776 | 0.5863 | 0.7387 |
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| No log | 3.0 | 6 | nan | 0.7124 | 0.7030 | 0.7076 | 0.8232 |
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| No log | 4.0 | 8 | nan | 0.6879 | 0.7492 | 0.7172 | 0.8402 |
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| No log | 5.0 | 10 | nan | 0.7333 | 0.7987 | 0.7646 | 0.8880 |
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| No log | 6.0 | 12 | nan | 0.7462 | 0.8152 | 0.7792 | 0.9044 |
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| No log | 7.0 | 14 | nan | 0.7761 | 0.8350 | 0.8045 | 0.9142 |
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| No log | 8.0 | 16 | nan | 0.8145 | 0.8548 | 0.8341 | 0.9247 |
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| No log | 9.0 | 18 | nan | 0.8185 | 0.8779 | 0.8471 | 0.9306 |
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| No log | 10.0 | 20 | nan | 0.8282 | 0.8911 | 0.8585 | 0.9345 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.12.0
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- Tokenizers 0.12.1
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