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bert-small-finetuned_Att-Noneg-depth0

Text Classification
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bert
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metadata
library_name: transformers
license: mit
base_model: prajjwal1/bert-small
tags:
  - generated_from_trainer
model-index:
  - name: bert-small-finetuned_Att-Noneg-depth0
    results: []

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bert-small-finetuned_Att-Noneg-depth0

This model is a fine-tuned version of prajjwal1/bert-small on an unknown dataset.

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: 1e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0