deberta-v3-large-finetuned-answer_relevance_judge – AI Model by leeminhduc2 | AlphaNeural AI

You can deploy this model and start earning money today!

leeminhduc2/
deberta-v3-large-finetuned-answer_relevance_judge

like

0

text-classification

generated_from_trainer

microsoft/deberta-v3-large

text-embeddings-inference

endpoints_compatible

Views

No views yet

deberta-v3-large-finetuned-answer_relevance_judge

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

Loss: 0.5431
Model Preparation Time: 0.0054
Accuracy: 0.9131

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-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Accuracy
No log	1.0	188	0.3312	0.0054	0.9219
No log	2.0	376	0.3864	0.0054	0.9164
0.133	3.0	564	0.3783	0.0054	0.9292
0.133	4.0	752	0.5731	0.0054	0.9072
0.133	5.0	940	0.5760	0.0054	0.9089
0.0146	6.0	1128	0.5431	0.0054	0.9131

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1