CS221-mdeberta-v3-base-finetuned-semeval-aug – AI Model by Kuongan | AlphaNeural AI

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Kuongan/
CS221-mdeberta-v3-base-finetuned-semeval-aug

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text-classification

generated_from_trainer

microsoft/mdeberta-v3-base

autotrain_compatible

endpoints_compatible

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CS221-mdeberta-v3-base-finetuned-semeval-aug

This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5801
F1: 0.1454
Roc Auc: 0.5
Accuracy: 0.1400

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch 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: 100
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.5812	1.0	277	0.5801	0.1454	0.5	0.1400
0.5638	2.0	554	0.5757	0.1454	0.5	0.1400
0.5412	3.0	831	0.5764	0.1454	0.5	0.1400
0.5744	4.0	1108	0.5746	0.1454	0.5	0.1400
0.5762	5.0	1385	0.5741	0.1454	0.5	0.1400
0.5361	6.0	1662	0.5788	0.1454	0.5	0.1400

Framework versions

Transformers 4.48.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0