Model save
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README.md
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@@ -4,8 +4,6 @@ license: apache-2.0
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base_model: albert/albert-base-v2
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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: squad_albert_finetuned3
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results: []
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# squad_albert_finetuned3
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This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on
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## Model description
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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: 2
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- eval_batch_size:
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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base_model: albert/albert-base-v2
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tags:
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- generated_from_trainer
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model-index:
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- name: squad_albert_finetuned3
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results: []
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# squad_albert_finetuned3
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This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
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## Model description
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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