End of training
Browse files- README.md +77 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: cc-by-sa-4.0
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base_model: nlpaueb/legal-bert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: FlavioNoEng
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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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# FlavioNoEng
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This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.4980
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- eval_Accuracy: 0.8841
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- eval_F1_macro: 0.7387
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- eval_F1_class_0: 0.9302
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- eval_F1_class_1: 0.0
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- eval_F1_class_2: 0.8950
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- eval_F1_class_3: 0.8000
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- eval_F1_class_4: 0.8000
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- eval_F1_class_5: 0.9057
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- eval_F1_class_6: 0.7170
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- eval_F1_class_7: 0.9663
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- eval_F1_class_8: 0.9831
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- eval_F1_class_9: 0.7931
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- eval_F1_class_10: 0.8483
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- eval_F1_class_11: 0.8333
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- eval_F1_class_12: 0.7975
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- eval_F1_class_13: 0.5714
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- eval_F1_class_14: 0.8734
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- eval_F1_class_15: 0.3077
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- eval_F1_class_16: 0.0
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- eval_F1_class_17: 0.9760
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- eval_F1_class_18: 0.8525
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- eval_F1_class_19: 0.9231
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- eval_runtime: 34.849
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- eval_samples_per_second: 32.426
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- eval_steps_per_second: 2.037
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- epoch: 3.93
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- step: 2500
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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: 2e-05
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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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- 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: 5
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### Framework versions
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- Transformers 4.32.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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pytorch_model.bin
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