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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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- precision |
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- recall |
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model-index: |
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- name: bert-bert-cased-first512-Conflict-SEP |
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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-bert-cased-first512-Conflict-SEP |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co./bert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6806 |
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- F1: 0.6088 |
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- Accuracy: 0.5914 |
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- Precision: 0.5839 |
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- Recall: 0.6360 |
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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: 5e-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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- 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:| |
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| 0.7027 | 1.0 | 685 | 0.6956 | 0.6018 | 0.5365 | 0.5275 | 0.7003 | |
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| 0.7009 | 2.0 | 1370 | 0.6986 | 0.6667 | 0.5 | 0.5 | 1.0 | |
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| 0.7052 | 3.0 | 2055 | 0.6983 | 0.6667 | 0.5 | 0.5 | 1.0 | |
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| 0.6987 | 4.0 | 2740 | 0.6830 | 0.5235 | 0.5636 | 0.5764 | 0.4795 | |
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| 0.6761 | 5.0 | 3425 | 0.6806 | 0.6088 | 0.5914 | 0.5839 | 0.6360 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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