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Model save
Browse files- README.md +3 -6
- pytorch_model.bin +1 -1
- raw_pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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license: apache-2.0
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base_model: bert-large-uncased
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tags:
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- question-answering
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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: out
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results: []
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# out
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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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:
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### Training results
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license: apache-2.0
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base_model: bert-large-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: out
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results: []
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# out
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 64
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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: 3.0
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### Training results
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pytorch_model.bin
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raw_pytorch_model.bin
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training_args.bin
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