deberta_v3_MP_ft – AI Model by orpe42 | AlphaNeural AI

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orpe42/
deberta_v3_MP_ft

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text-classification

generated_from_trainer

microsoft/deberta-v3-large

text-embeddings-inference

endpoints_compatible

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deberta_v3_MP_ft

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: 0.0218
Macro F1: 0.0068
Micro F1: 0.0236
Macro Precision: 0.1547
Macro Recall: 0.0037
Micro Precision: 0.8725
Micro Recall: 0.0120
Exact Match Ratio: 0.0164
Macro Roc Auc: 0.7865

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: 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: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Macro F1	Micro F1	Macro Precision	Macro Recall	Micro Precision	Micro Recall	Exact Match Ratio	Macro Roc Auc
0.0287	6.5789	500	0.0227	0.0025	0.0084	0.1303	0.0013	0.8873	0.0042	0.0059	0.7649
0.0277	10.0	760	0.0218	0.0062	0.0220	0.1611	0.0033	0.8872	0.0111	0.0058	0.7843

Framework versions

Transformers 5.12.1
Pytorch 2.5.1+cu121
Datasets 5.0.1
Tokenizers 0.22.2