BART_large_Gameplan / README.md
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End of training
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metadata
license: apache-2.0
base_model: facebook/bart-large
tags:
  - generated_from_trainer
model-index:
  - name: BART_large_Gameplan
    results: []

BART_large_Gameplan

This model is a fine-tuned version of facebook/bart-large on the None 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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 20
  • label_smoothing_factor: 0.1

Training results

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3