avinasht/Innovative-deberta-v3-xsmall-GPT_4-o-768

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Innovative-deberta-v3-xsmall-GPT_4-o-768

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

• —Loss: 0.0038
• —Accuracy: 0.9993
• —F1: 0.9993
• —Precision: 0.9993
• —Recall: 0.9993

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: 5e-05
• —trainbatchsize: 10
• —evalbatchsize: 10
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 40
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.41.2
• —Pytorch 2.5.0+cu124
• —Datasets 2.18.0
• —Tokenizers 0.19.1