deberta-v3-base-finetuned-autext23_s2 – AI Model by andricValdez | AlphaNeural AI

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andricValdez/
deberta-v3-base-finetuned-autext23_s2

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microsoft/deberta-v3-base

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deberta-v3-base-finetuned-autext23_s2

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: 1.0620
Accuracy: 0.5731
F1: 0.5648

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	246	0.9935	0.5587	0.5371
1.1328	2.0	492	0.9254	0.5792	0.5592
1.1328	3.0	738	0.9501	0.5801	0.5692
0.7267	4.0	984	1.0345	0.5619	0.5509
0.7267	5.0	1230	1.0620	0.5731	0.5648

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1