avinasht/Innovative-deberta-v3-xsmall-mistral-7B-768

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

Innovative-deberta-v3-xsmall-mistral-7B-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: 0.0609
• —Accuracy: 0.9787
• —F1: 0.9787
• —Precision: 0.9787
• —Recall: 0.9787

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: 24
• —evalbatchsize: 24
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 96
• —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 4.42.2
• —Pytorch 2.2.0+cu121
• —Datasets 2.19.1
• —Tokenizers 0.19.1