sercetexam9/cs221-cs221-deberta-v3-base-finetuned-finetuned-finetuned

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cs221-cs221-deberta-v3-base-finetuned-finetuned-finetuned

This model is a fine-tuned version of sercetexam9/cs221-deberta-v3-base-finetuned on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4521
• —F1: 0.7824
• —Roc Auc: 0.8376
• —Accuracy: 0.5

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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 100
• —num_epochs: 6

Training results

Framework versions

• —Transformers 4.47.1
• —Pytorch 2.4.0
• —Datasets 3.0.1
• —Tokenizers 0.21.0