---
license: mit
base_model: microsoft/deberta-v2-xxlarge
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: deberta-v2-xxlarge-finetuned-sst2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# deberta-v2-xxlarge-finetuned-sst2

This model is a fine-tuned version of [microsoft/deberta-v2-xxlarge](https://huggingface.co/microsoft/deberta-v2-xxlarge) on the glue dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7132
- eval_accuracy: 0.4908
- eval_runtime: 81.5624
- eval_samples_per_second: 10.691
- eval_steps_per_second: 2.673
- epoch: 0.58
- step: 9737

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 1

### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1