metadata

license: mit
base_model: MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: zero-shot_text_classification
    results: []

zero-shot_text_classification

This model is a fine-tuned version of MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6442
Accuracy: 0.795
F1: 0.7959

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: 8
eval_batch_size: 16
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	F1
0.9317	1.0	1000	0.6442	0.795	0.7959

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0