abdiharyadi/deberta-v3-large-ft-icar-a-v0.11-to-b64

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deberta-v3-large-ft-icar-a-v0.11-to-b64

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

• —eval_loss: 0.7272
• —eval_accuracy: 0.8998
• —eval_precision: 0.8850
• —eval_recall: 0.8556
• —eval_f1: 0.8677
• —eval_runtime: 26.5549
• —evalsamplesper_second: 19.921
• —evalstepsper_second: 19.921
• —epoch: 31.0
• —step: 1023

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: 3e-06
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 64
• —totaltrainbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 50

Framework versions

• —Transformers 4.57.3
• —Pytorch 2.9.0+cu126
• —Datasets 4.4.2
• —Tokenizers 0.22.1