Model save
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- pytorch_model.bin +1 -1
README.md
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---
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license: cc-by-4.0
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base_model: deepset/roberta-base-squad2
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tags:
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- generated_from_trainer
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model-index:
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- name: XLMbert-finetuned13kdata_noprocessed-squad
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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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# XLMbert-finetuned13kdata_noprocessed-squad
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This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.1830
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- eval_runtime: 354.3504
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- eval_samples_per_second: 54.014
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- eval_steps_per_second: 6.753
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- epoch: 2.0
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- step: 14764
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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: 8
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- eval_batch_size: 8
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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: 3
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 496294633
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version https://git-lfs.github.com/spec/v1
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size 496294633
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