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--- |
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license: apache-2.0 |
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base_model: google-bert/bert-base-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-base-cased |
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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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# bert-base-cased |
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This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1793 |
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- Icm: 0.1480 |
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- Icmnorm: 0.5752 |
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- Fmeasure: 0.7194 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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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: 9 |
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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 | Icm | Icmnorm | Fmeasure | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
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| No log | 1.0 | 193 | 0.6062 | 0.0275 | 0.5140 | 0.6639 | |
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| No log | 2.0 | 386 | 0.5694 | 0.0336 | 0.5171 | 0.6785 | |
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| 0.5724 | 3.0 | 579 | 0.8413 | 0.0158 | 0.5080 | 0.6641 | |
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| 0.5724 | 4.0 | 772 | 1.1793 | 0.1480 | 0.5752 | 0.7194 | |
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| 0.5724 | 5.0 | 965 | 1.4878 | 0.0672 | 0.5341 | 0.6892 | |
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| 0.2239 | 6.0 | 1158 | 1.6802 | 0.0966 | 0.5491 | 0.7019 | |
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| 0.2239 | 7.0 | 1351 | 1.8348 | 0.0799 | 0.5406 | 0.6964 | |
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| 0.0665 | 8.0 | 1544 | 1.9795 | 0.0606 | 0.5308 | 0.6897 | |
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| 0.0665 | 9.0 | 1737 | 2.0300 | 0.0606 | 0.5308 | 0.6897 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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