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--- |
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library_name: transformers |
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base_model: MHGanainy/xmod-roberta-base-legal-multi |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: xmod-roberta-base-legal-multi-ecthr-downstream-ecthr-a |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# xmod-roberta-base-legal-multi-ecthr-downstream-ecthr-a |
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This model is a fine-tuned version of [MHGanainy/xmod-roberta-base-legal-multi](https://huggingface.co/MHGanainy/xmod-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: 0.2232 |
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- Macro-f1: 0.6306 |
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- Micro-f1: 0.6835 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 1 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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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 | 0.1829 | 0.5518 | 0.6772 | |
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| 0.1547 | 2.0 | 564 | 0.1643 | 0.5833 | 0.6849 | |
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| 0.1547 | 3.0 | 846 | 0.1821 | 0.6056 | 0.6864 | |
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| 0.1031 | 4.0 | 1128 | 0.1714 | 0.6432 | 0.7086 | |
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| 0.1031 | 5.0 | 1410 | 0.1662 | 0.6357 | 0.6958 | |
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| 0.0836 | 6.0 | 1692 | 0.1835 | 0.6309 | 0.6896 | |
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| 0.0836 | 7.0 | 1974 | 0.2232 | 0.6306 | 0.6835 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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