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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-twval |
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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-twval |
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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: 2.5919 |
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- Accuracy: 0.3810 |
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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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| 1.4726 | 1.0 | 10001 | 2.9721 | 0.3051 | |
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| 1.5319 | 2.0 | 20002 | 2.5919 | 0.3810 | |
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| 1.1895 | 3.0 | 30003 | 3.9355 | 0.2664 | |
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| 0.8886 | 4.0 | 40004 | 4.6847 | 0.2515 | |
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| 0.7142 | 5.0 | 50005 | 4.8659 | 0.2604 | |
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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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