metadata

license: mit
base_model: microsoft/deberta-v3-small
tags:
  - generated_from_trainer
datasets:
  - autextification2023
metrics:
  - accuracy
model-index:
  - name: deberta-v3-small-autextification-adapter
    results: []

deberta-v3-small-autextification-adapter

This model is a fine-tuned version of microsoft/deberta-v3-small on the autextification2023 dataset. It achieves the following results on the evaluation set:

Loss: 0.6931
Accuracy: 0.4969

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6967	1.0	3808	0.6931	0.4969

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1