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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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model-index: |
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- name: fine-tune-vanilla-bert-base-uncased-ch9 |
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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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# fine-tune-vanilla-bert-base-uncased-ch9 |
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This model is a fine-tuned version of [omersubasi/bert-base-uncased-issues-128](https://huggingface.co/omersubasi/bert-base-uncased-issues-128) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1664 |
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- Micro f1: 0.7308 |
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- Macro f1: 0.6418 |
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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: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 32 |
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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: constant |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| 0.3943 | 1.0 | 56 | 0.3426 | 0.0 | 0.0 | |
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| 0.3165 | 2.0 | 112 | 0.3111 | 0.2857 | 0.1010 | |
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| 0.2701 | 3.0 | 168 | 0.2531 | 0.5 | 0.2266 | |
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| 0.2019 | 4.0 | 224 | 0.2155 | 0.6196 | 0.3375 | |
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| 0.1544 | 5.0 | 280 | 0.2094 | 0.6064 | 0.4363 | |
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| 0.1135 | 6.0 | 336 | 0.1829 | 0.7030 | 0.5914 | |
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| 0.0823 | 7.0 | 392 | 0.1774 | 0.6970 | 0.5956 | |
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| 0.0619 | 8.0 | 448 | 0.1781 | 0.6965 | 0.6130 | |
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| 0.0491 | 9.0 | 504 | 0.1695 | 0.7327 | 0.6402 | |
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| 0.0419 | 10.0 | 560 | 0.1664 | 0.7308 | 0.6418 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 1.16.1 |
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- Tokenizers 0.15.0 |
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