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_fine_tuned
    results: []

zero-shot_text_classification_fine_tuned

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: 0.6389
Accuracy: 0.8145
F1: 0.8152

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: 16
eval_batch_size: 32
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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	375	1.1511	0.5755	0.5607
1.4974	2.0	750	0.7869	0.7535	0.7525
0.7908	3.0	1125	0.6635	0.8	0.8024
0.5067	4.0	1500	0.6389	0.8145	0.8152

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0