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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilbert-base-uncased-finetuned-char |
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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-finetuned-char |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co./distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5972 |
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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: 256 |
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- eval_batch_size: 256 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.1436 | 0.85 | 500 | 1.8943 | |
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| 1.8911 | 1.71 | 1000 | 1.8065 | |
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| 1.8073 | 2.56 | 1500 | 1.7359 | |
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| 1.7668 | 3.41 | 2000 | 1.6907 | |
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| 1.733 | 4.27 | 2500 | 1.6564 | |
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| 1.7104 | 5.12 | 3000 | 1.6499 | |
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| 1.6915 | 5.97 | 3500 | 1.6258 | |
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| 1.6772 | 6.83 | 4000 | 1.6089 | |
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| 1.6617 | 7.68 | 4500 | 1.5982 | |
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| 1.6563 | 8.53 | 5000 | 1.6035 | |
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| 1.649 | 9.39 | 5500 | 1.5764 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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