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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- tydiqa |
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model-index: |
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- name: pixel-base-finetuned-tydiqa-goldp |
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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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# pixel-base-finetuned-tydiqa-goldp |
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This model is a fine-tuned version of [Team-PIXEL/pixel-base](https://huggingface.co./Team-PIXEL/pixel-base) on the tydiqa secondary_task dataset. |
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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: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 2 |
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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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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 20000 |
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- mixed_precision_training: Apex, opt level O1 |
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### Training results |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.11.0 |
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- Datasets 2.0.0 |
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- Tokenizers 0.12.1 |
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