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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: legal-french-roberta-base |
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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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# legal-french-roberta-base |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4293 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- distributed_type: tpu |
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- num_devices: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- training_steps: 1000000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 0.8649 | 0.05 | 50000 | 0.7819 | |
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| 0.7852 | 0.1 | 100000 | 0.6027 | |
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| 0.5898 | 1.02 | 150000 | 0.5842 | |
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| 0.6136 | 1.07 | 200000 | 0.5343 | |
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| 0.6135 | 1.12 | 250000 | 0.5461 | |
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| 0.5804 | 2.03 | 300000 | 0.5295 | |
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| 0.5602 | 2.08 | 350000 | 0.5120 | |
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| 0.5446 | 2.13 | 400000 | 0.4904 | |
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| 0.5414 | 3.05 | 450000 | 0.4853 | |
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| 0.5765 | 3.1 | 500000 | 0.4788 | |
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| 0.6903 | 4.01 | 550000 | 0.4597 | |
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| 0.6149 | 4.06 | 600000 | 0.4556 | |
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| 0.5649 | 4.11 | 650000 | 0.4543 | |
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| 0.6449 | 5.03 | 700000 | 0.4489 | |
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| 0.6425 | 5.08 | 750000 | 0.4386 | |
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| 0.6263 | 5.13 | 800000 | 0.4344 | |
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| 0.6035 | 6.05 | 850000 | 0.4317 | |
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| 0.607 | 6.1 | 900000 | 0.4332 | |
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| 0.5899 | 7.01 | 950000 | 0.4321 | |
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| 0.5751 | 7.06 | 1000000 | 0.4293 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.12.0+cu102 |
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- Datasets 2.8.0 |
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- Tokenizers 0.12.1 |
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