newscheck-stance-deberta – AI Model by bhanukaonline | AlphaNeural AI

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bhanukaonline/
newscheck-stance-deberta

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text-classification

generated_from_trainer

microsoft/deberta-v3-base

text-embeddings-inference

endpoints_compatible

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newscheck-stance-deberta

This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

Loss: nan
Accuracy: 0.3747
F1 Macro: 0.1817
F1 Entailment: 0.5451
F1 Neutral: 0.0
F1 Contradiction: 0.0

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: 1e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.06
num_epochs: 4
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	F1 Entailment	F1 Neutral	F1 Contradiction
0.0	1.0	6563	nan	0.3747	0.1817	0.5451	0.0	0.0
0.0	2.0	13126	nan	0.3747	0.1817	0.5451	0.0	0.0
0.0	3.0	19689	nan	0.3747	0.1817	0.5451	0.0	0.0

Framework versions

Transformers 5.5.4
Pytorch 2.11.0+cu126
Datasets 4.8.4
Tokenizers 0.22.2