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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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metrics: |
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- accuracy |
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model-index: |
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- name: distilbert-base-uncased-finetuned-yahd-2 |
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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-yahd-2 |
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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: 2.3850 |
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- Accuracy: 0.2652 |
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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: 5 |
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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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| 2.2738 | 1.0 | 9556 | 2.2228 | 0.1996 | |
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| 1.9769 | 2.0 | 19112 | 2.1378 | 0.2321 | |
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| 1.6624 | 3.0 | 28668 | 2.1897 | 0.2489 | |
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| 1.3682 | 4.0 | 38224 | 2.2863 | 0.2538 | |
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| 1.1975 | 5.0 | 47780 | 2.3850 | 0.2652 | |
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### Framework versions |
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- Transformers 4.12.3 |
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- Pytorch 1.9.0+cu102 |
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- Datasets 1.15.1 |
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- Tokenizers 0.10.3 |
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