metadata

license: mit
base_model: microsoft/deberta-v3-base
tags:
  - generated_from_trainer
datasets:
  - generator
metrics:
  - accuracy
model-index:
  - name: deberta-v3-base-finetuned-mnli
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: generator
          type: generator
          config: default
          split: train
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9165876777251185

deberta-v3-base-finetuned-mnli

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

Loss: 0.4279
Accuracy: 0.9166

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0003	1.0	374	0.6553	0.9137
0.1791	2.0	748	0.4279	0.9166
0.1101	3.0	1122	0.5088	0.9081

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1