ppsingh/mpnet-multi-agri-classifier

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mpnet-multi-agri-classifier

This model is a fine-tuned version of sentence-transformers/paraphrase-multilingual-mpnet-base-v2 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3444
• —Precision Macro: 0.8402
• —Precision Weighted: 0.9196
• —Recall Macro: 0.9042
• —Recall Weighted: 0.9046
• —F1-score: 0.8655
• —Accuracy: 0.9046

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: 6.9e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 200
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.35.2
• —Pytorch 1.12.0+cu102
• —Datasets 2.3.2
• —Tokenizers 0.15.0