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--- |
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license: apache-2.0 |
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base_model: google-bert/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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- f1 |
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model-index: |
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- name: fine_tuned_copa_bert |
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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_tuned_copa_bert |
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/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: 1.0295 |
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- Accuracy: 0.54 |
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- F1: 0.5407 |
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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: 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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- training_steps: 400 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.7066 | 1.0 | 50 | 0.6907 | 0.54 | 0.5411 | |
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| 0.6897 | 2.0 | 100 | 0.6880 | 0.57 | 0.5709 | |
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| 0.6001 | 3.0 | 150 | 0.7025 | 0.55 | 0.5511 | |
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| 0.4629 | 4.0 | 200 | 0.7810 | 0.53 | 0.5310 | |
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| 0.3402 | 5.0 | 250 | 1.0003 | 0.55 | 0.5511 | |
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| 0.2299 | 6.0 | 300 | 1.0220 | 0.55 | 0.5511 | |
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| 0.1874 | 7.0 | 350 | 0.9956 | 0.56 | 0.5611 | |
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| 0.1133 | 8.0 | 400 | 1.0295 | 0.54 | 0.5407 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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