README.md

metadata

license: mit
base_model: microsoft/deberta-v3-large
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: deberta-v3-large-test-ver3
    results: []

deberta-v3-large-test-ver3

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:

• Loss: 0.0378
• Precision: 0.9919
• Recall: 0.9919
• F1: 0.9919
• Accuracy: 0.9919

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
• train_batch_size: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.053	1.0	2221	0.0378	0.9919	0.9919	0.9919	0.9919

Framework versions

• Transformers 4.40.1
• Pytorch 2.1.2
• Datasets 2.19.0
• Tokenizers 0.19.1