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README.md
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---
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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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# roberta-base-downstream-ecthr-a
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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: 0.
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- Macro-f1: 0.
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- Micro-f1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Macro-f1 | Micro-f1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| No log | 1.0 |
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### Framework versions
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---
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library_name: transformers
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license: mit
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base_model: roberta-base
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tags:
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- generated_from_trainer
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model-index:
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# roberta-base-downstream-ecthr-a
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2086
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- Macro-f1: 0.6249
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- Micro-f1: 0.6923
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Macro-f1 | Micro-f1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| No log | 1.0 | 282 | 0.1788 | 0.5361 | 0.6691 |
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| 0.1598 | 2.0 | 564 | 0.1657 | 0.5865 | 0.6876 |
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| 0.1598 | 3.0 | 846 | 0.1847 | 0.6197 | 0.6803 |
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| 0.1038 | 4.0 | 1128 | 0.1705 | 0.6383 | 0.6992 |
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| 0.1038 | 5.0 | 1410 | 0.1813 | 0.6484 | 0.6948 |
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| 0.0835 | 6.0 | 1692 | 0.1946 | 0.6427 | 0.6929 |
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| 0.0835 | 7.0 | 1974 | 0.2086 | 0.6249 | 0.6923 |
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### Framework versions
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model.safetensors
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