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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: ec_classfication_0502_bert_base_uncased |
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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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# ec_classfication_0502_bert_base_uncased |
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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: 1.0262 |
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- F1: 0.8132 |
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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: 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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| No log | 1.0 | 59 | 0.5865 | 0.7238 | |
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| No log | 2.0 | 118 | 0.4017 | 0.8302 | |
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| No log | 3.0 | 177 | 0.4968 | 0.8182 | |
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| No log | 4.0 | 236 | 0.7651 | 0.7595 | |
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| No log | 5.0 | 295 | 0.6250 | 0.8276 | |
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| No log | 6.0 | 354 | 0.8580 | 0.7907 | |
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| No log | 7.0 | 413 | 0.8241 | 0.8182 | |
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| No log | 8.0 | 472 | 0.8875 | 0.8261 | |
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| 0.193 | 9.0 | 531 | 0.9314 | 0.8182 | |
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| 0.193 | 10.0 | 590 | 0.9188 | 0.8352 | |
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| 0.193 | 11.0 | 649 | 0.9721 | 0.8409 | |
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| 0.193 | 12.0 | 708 | 0.9929 | 0.8409 | |
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| 0.193 | 13.0 | 767 | 1.0092 | 0.8222 | |
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| 0.193 | 14.0 | 826 | 1.0261 | 0.8132 | |
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| 0.193 | 15.0 | 885 | 1.0262 | 0.8132 | |
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### Framework versions |
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- Transformers 4.27.3 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.2 |
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