---
tags:
- generated_from_trainer
model-index:
- name: DNADebertaBPE10k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DNADebertaBPE10k

This model is a fine-tuned version of [](https://huggingface.co/) 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