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BERT2BERT_Model

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BERT2BERT_Model / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - cnn_dailymail
model-index:
  - name: BERT2BERT_Model
    results: []

BERT2BERT_Model

This model is a fine-tuned version of patrickvonplaten/bert2bert_cnn_daily_mail on the cnn_dailymail dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9217

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 63 1.9514
No log 2.0 126 1.9279
No log 3.0 189 1.9223
No log 4.0 252 1.9217

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3