deberta-v3-large_v3_relationships – AI Model by bobbyw | AlphaNeural AI

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bobbyw/
deberta-v3-large_v3_relationships

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text-classification

generated_from_trainer

bobbyw/deberta-v3-large_v3_relationships

autotrain_compatible

endpoints_compatible

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deberta-v3-large_v3_relationships

This model is a fine-tuned version of bobbyw/deberta-v3-large_v3_relationships on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0124
Accuracy: 0.0038
F1: 0.0038
Precision: 0.0019
Recall: 0.4242
Learning Rate: 0.002

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-06
train_batch_size: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Rate
No log	1.0	382	0.0109	0.0027	0.0046	0.0023	0.5152	0.002
0.0043	2.0	764	0.0106	0.0026	0.0046	0.0023	0.5152	0.002
0.0041	3.0	1146	0.0115	0.0028	0.0051	0.0026	0.5758	0.002
0.004	4.0	1528	0.0132	0.0031	0.0048	0.0024	0.5455	0.002
0.004	5.0	1910	0.0140	0.0032	0.0046	0.0023	0.5152	0.002
0.0043	6.0	2292	0.0116	0.0032	0.0046	0.0023	0.5152	0.002
0.0044	7.0	2674	0.0129	0.0027	0.0043	0.0022	0.4848	0.002
0.0038	8.0	3056	0.0124	0.0038	0.0038	0.0019	0.4242	0.002

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1