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--- |
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license: apache-2.0 |
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base_model: distilbert/distilbert-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: distilbert-base-uncased-clickbait-task1-20-epoch-post_title |
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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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# distilbert-base-uncased-clickbait-task1-20-epoch-post_title |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co./distilbert/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4236 |
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- Accuracy: 0.67 |
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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: 20 |
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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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| No log | 1.0 | 200 | 0.8500 | 0.6425 | |
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| No log | 2.0 | 400 | 0.7542 | 0.6975 | |
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| 0.7863 | 3.0 | 600 | 0.8059 | 0.695 | |
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| 0.7863 | 4.0 | 800 | 0.9656 | 0.6875 | |
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| 0.3245 | 5.0 | 1000 | 1.1785 | 0.655 | |
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| 0.3245 | 6.0 | 1200 | 1.4214 | 0.675 | |
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| 0.3245 | 7.0 | 1400 | 1.7879 | 0.655 | |
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| 0.0784 | 8.0 | 1600 | 1.9526 | 0.66 | |
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| 0.0784 | 9.0 | 1800 | 2.0289 | 0.6575 | |
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| 0.0233 | 10.0 | 2000 | 2.1091 | 0.675 | |
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| 0.0233 | 11.0 | 2200 | 2.1530 | 0.67 | |
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| 0.0233 | 12.0 | 2400 | 2.2120 | 0.67 | |
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| 0.0091 | 13.0 | 2600 | 2.2703 | 0.6875 | |
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| 0.0091 | 14.0 | 2800 | 2.3026 | 0.68 | |
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| 0.0064 | 15.0 | 3000 | 2.3154 | 0.685 | |
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| 0.0064 | 16.0 | 3200 | 2.3335 | 0.6825 | |
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| 0.0064 | 17.0 | 3400 | 2.3667 | 0.6825 | |
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| 0.0036 | 18.0 | 3600 | 2.3959 | 0.6775 | |
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| 0.0036 | 19.0 | 3800 | 2.4513 | 0.6625 | |
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| 0.0043 | 20.0 | 4000 | 2.4236 | 0.67 | |
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### Framework versions |
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- Transformers 4.44.0.dev0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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