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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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model-index: |
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- name: bert_test_8 |
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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_test_8 |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/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: 0.7390 |
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- F1: 0.8624 |
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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: 1e-05 |
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- train_batch_size: 16 |
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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: 15 |
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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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| 1.5054 | 1.0 | 341 | 0.8553 | 0.7042 | |
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| 0.7004 | 2.0 | 682 | 0.5741 | 0.8367 | |
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| 0.4056 | 3.0 | 1023 | 0.4853 | 0.8504 | |
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| 0.2813 | 4.0 | 1364 | 0.4766 | 0.8574 | |
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| 0.1813 | 5.0 | 1705 | 0.4964 | 0.8536 | |
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| 0.1327 | 6.0 | 2046 | 0.5343 | 0.8648 | |
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| 0.1148 | 7.0 | 2387 | 0.6017 | 0.8723 | |
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| 0.0755 | 8.0 | 2728 | 0.6251 | 0.8684 | |
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| 0.0552 | 9.0 | 3069 | 0.6666 | 0.8624 | |
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| 0.0442 | 10.0 | 3410 | 0.6992 | 0.8670 | |
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| 0.0308 | 11.0 | 3751 | 0.7045 | 0.8705 | |
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| 0.0235 | 12.0 | 4092 | 0.7237 | 0.8607 | |
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| 0.0219 | 13.0 | 4433 | 0.7377 | 0.8596 | |
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| 0.0249 | 14.0 | 4774 | 0.7384 | 0.8646 | |
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| 0.0214 | 15.0 | 5115 | 0.7390 | 0.8624 | |
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### Framework versions |
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- Transformers 4.27.1 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.13.3 |
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