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--- |
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license: apache-2.0 |
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base_model: google-bert/bert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: dnd_en |
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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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# dnd_en |
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co./google-bert/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3371 |
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- Accuracy: 0.8947 |
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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-06 |
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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: 12 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 15 | 0.4992 | 0.8421 | |
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| No log | 2.0 | 30 | 0.4656 | 0.8772 | |
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| No log | 3.0 | 45 | 0.4444 | 0.8596 | |
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| No log | 4.0 | 60 | 0.4205 | 0.8596 | |
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| No log | 5.0 | 75 | 0.4017 | 0.8596 | |
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| No log | 6.0 | 90 | 0.3841 | 0.8772 | |
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| No log | 7.0 | 105 | 0.3707 | 0.8772 | |
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| No log | 8.0 | 120 | 0.3595 | 0.8947 | |
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| No log | 9.0 | 135 | 0.3489 | 0.8947 | |
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| No log | 10.0 | 150 | 0.3425 | 0.8947 | |
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| No log | 11.0 | 165 | 0.3385 | 0.8947 | |
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| No log | 12.0 | 180 | 0.3371 | 0.8947 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.13.2 |
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