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DNADebertaBPE30k – AI Model by simecek | AlphaNeural AI

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DNADebertaBPE30k

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DNADebertaBPE30k

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

eval_loss: 5.1519
eval_runtime: 308.5062
eval_samples_per_second: 337.384
eval_steps_per_second: 21.089
epoch: 7.22
step: 105695

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