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