metadata

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

deberta-v2-xxlarge-finetuned-sst2

This model is a fine-tuned version of 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