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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: dbert-finetuned |
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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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# dbert-finetuned |
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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: 2.3699 |
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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: 32 |
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- eval_batch_size: 32 |
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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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| 3.1176 | 1.0 | 7946 | 2.9781 | |
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| 2.873 | 2.0 | 15892 | 2.7518 | |
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| 2.7337 | 3.0 | 23838 | 2.6254 | |
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| 2.6536 | 4.0 | 31784 | 2.5434 | |
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| 2.5838 | 5.0 | 39730 | 2.4846 | |
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| 2.5376 | 6.0 | 47676 | 2.4394 | |
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| 2.513 | 7.0 | 55622 | 2.4142 | |
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| 2.4814 | 8.0 | 63568 | 2.3870 | |
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| 2.4737 | 9.0 | 71514 | 2.3759 | |
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| 2.467 | 10.0 | 79460 | 2.3699 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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