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--- |
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license: apache-2.0 |
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base_model: 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: text-to-icpc2 |
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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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# text-to-icpc2 |
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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: 1.7544 |
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- Accuracy: 0.6679 |
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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: 5e-05 |
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- train_batch_size: 8 |
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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: 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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| 5.2683 | 1.0 | 1093 | 5.0759 | 0.0819 | |
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| 4.0898 | 2.0 | 2186 | 4.1968 | 0.2182 | |
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| 3.4238 | 3.0 | 3279 | 3.5428 | 0.3321 | |
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| 2.9107 | 4.0 | 4372 | 3.0363 | 0.4099 | |
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| 2.4188 | 5.0 | 5465 | 2.6765 | 0.4895 | |
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| 1.9262 | 6.0 | 6558 | 2.3752 | 0.5339 | |
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| 1.6271 | 7.0 | 7651 | 2.1641 | 0.5787 | |
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| 1.3296 | 8.0 | 8744 | 1.9912 | 0.6162 | |
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| 1.1168 | 9.0 | 9837 | 1.8705 | 0.6455 | |
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| 0.8994 | 10.0 | 10930 | 1.8159 | 0.6624 | |
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| 0.8697 | 11.0 | 12023 | 1.7745 | 0.6679 | |
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| 0.8058 | 12.0 | 13116 | 1.7544 | 0.6679 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.2.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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