Transformers
PyTorch
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groupbert
Generated from Trainer
Inference Endpoints
Ivan Chelombiev commited on
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29e3760
1 Parent(s): 603c374

update model card README.md

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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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+ model-index:
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+ - name: output-pretrain-groupbert-base-phase2
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+ results: []
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+ ---
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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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+
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+ # output-pretrain-groupbert-base-phase2
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.01
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+ - train_batch_size: 2
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: IPU
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+ - gradient_accumulation_steps: 2048
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+ - total_train_batch_size: 16384
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+ - total_eval_batch_size: 20
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+ - optimizer: LAMB
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+ - lr_scheduler_type: linear
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+ - training_steps: 1
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+ - training precision: Mixed Precision
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+
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+ ### Training results
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.20.1
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+ - Pytorch 1.10.0+cpu
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+ - Datasets 2.2.2
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+ - Tokenizers 0.12.1