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--- |
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license: apache-2.0 |
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base_model: distilbert-base-cased |
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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: textclassifier |
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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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# textclassifier |
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.6439 |
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- Accuracy: 0.0 |
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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: 0.0002 |
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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: 10 |
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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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| 4.4693 | 1.0 | 33 | 4.4433 | 0.0 | |
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| 4.4849 | 2.0 | 66 | 4.5026 | 0.0 | |
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| 4.4433 | 3.0 | 99 | 4.5717 | 0.0 | |
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| 4.4234 | 4.0 | 132 | 4.5887 | 0.0 | |
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| 4.4015 | 5.0 | 165 | 4.6163 | 0.0 | |
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| 4.3956 | 6.0 | 198 | 4.6046 | 0.0 | |
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| 4.3878 | 7.0 | 231 | 4.6354 | 0.0 | |
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| 4.3759 | 8.0 | 264 | 4.6372 | 0.0 | |
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| 4.3787 | 9.0 | 297 | 4.6405 | 0.0 | |
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| 4.3678 | 10.0 | 330 | 4.6439 | 0.0 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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