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bert-base-cased-10M

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metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_trainer
model-index:
  - name: bert-base-cased-10M
    results: []

bert-base-cased-10M

This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 7.0074

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.002
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
6.9986 1.0 3062 7.0212
6.9955 2.0 6124 7.0113
6.9883 3.0 9186 7.0074

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1
  • Datasets 3.1.0
  • Tokenizers 0.20.3