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metadata
tags:
  - generated_from_trainer
model-index:
  - name: rob2rand_chen_w_prefix
    results: []

rob2rand_chen_w_prefix

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.0686
  • eval_bleu: 84.3905
  • eval_em: 50.0650
  • eval_bleu_em: 67.2278
  • eval_runtime: 20.8187
  • eval_samples_per_second: 36.938
  • eval_steps_per_second: 0.624
  • step: 0

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-06
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.7.1
  • Datasets 2.1.0
  • Tokenizers 0.12.1