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--- |
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license: apache-2.0 |
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base_model: bert-base-cased |
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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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model-index: |
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- name: bert-base-cased-news-16batch_5epoch_2e5lr_01wd |
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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-news-16batch_5epoch_2e5lr_01wd |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/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: 0.4124 |
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- F1: 0.9244 |
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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: 47 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 0.0613 | 1.0 | 3124 | 0.1911 | 0.9188 | |
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| 0.0379 | 2.0 | 6248 | 0.2606 | 0.9218 | |
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| 0.0206 | 3.0 | 9372 | 0.2445 | 0.9218 | |
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| 0.0075 | 4.0 | 12496 | 0.3732 | 0.9194 | |
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| 0.0052 | 5.0 | 15620 | 0.4124 | 0.9244 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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