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DNADebertaBPE10k

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 4.7323
• eval_runtime: 283.5074
• eval_samples_per_second: 394.223
• eval_steps_per_second: 24.641
• epoch: 7.43
• step: 116731

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: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1