deberta-v3-base-finetuned-coling24 – AI Model by andricValdez | AlphaNeural AI

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andricValdez/
deberta-v3-base-finetuned-coling24

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microsoft/deberta-v3-base

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deberta-v3-base-finetuned-coling24

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: 2.4024
Accuracy: 0.7172
F1: 0.6969

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: 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
0.2662	1.0	1909	0.9077	0.7468	0.7402
0.134	2.0	3818	1.4337	0.7099	0.6963
0.0734	3.0	5727	1.6688	0.6912	0.6617
0.037	4.0	7636	2.1374	0.7199	0.7047
0.017	5.0	9545	2.4024	0.7172	0.6969

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1