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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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datasets: |
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- squad |
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model-index: |
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- name: single_label_N_max_long_training |
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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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# single_label_N_max_long_training |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co./distilbert-base-uncased) on the squad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8288 |
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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: 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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| 3.0568 | 1.0 | 674 | 1.9993 | |
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| 1.6024 | 2.0 | 1348 | 1.8497 | |
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| 1.0196 | 3.0 | 2022 | 1.9178 | |
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| 0.7622 | 4.0 | 2696 | 2.0412 | |
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| 0.6066 | 5.0 | 3370 | 2.2523 | |
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| 0.4136 | 6.0 | 4044 | 2.3845 | |
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| 0.3113 | 7.0 | 4718 | 2.5712 | |
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| 0.2777 | 8.0 | 5392 | 2.6790 | |
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| 0.208 | 9.0 | 6066 | 2.7464 | |
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| 0.1749 | 10.0 | 6740 | 2.8288 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.1 |
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- Tokenizers 0.12.1 |
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