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Model save

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  1. README.md +13 -9
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
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  library_name: transformers
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- base_model: MHGanainy/roberta-base-legal-multi
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,11 +14,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # roberta-base-downstream-ecthr-a
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- This model is a fine-tuned version of [MHGanainy/roberta-base-legal-multi](https://huggingface.co/MHGanainy/roberta-base-legal-multi) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3333
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- - Macro-f1: 0.0290
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- - Micro-f1: 0.1652
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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 | 4 | 0.4125 | 0.0290 | 0.1652 |
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- | No log | 2.0 | 8 | 0.3446 | 0.0290 | 0.1652 |
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- | No log | 3.0 | 12 | 0.3344 | 0.0290 | 0.1652 |
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- | No log | 4.0 | 16 | 0.3333 | 0.0290 | 0.1652 |
 
 
 
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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
model.safetensors CHANGED
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