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my_DeBERTa_model

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metadata
library_name: transformers
license: mit
base_model: microsoft/deberta-v3-small
tags:
  - generated_from_trainer
model-index:
  - name: my_DeBERTa_model
    results: []

my_DeBERTa_model

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

  • eval_loss: 0.7012
  • eval_model_preparation_time: 0.0087
  • eval_accuracy: 0.4814
  • eval_f1: 0.0747
  • eval_precision: 0.0400
  • eval_recall: 0.5741
  • eval_runtime: 19.2911
  • eval_samples_per_second: 55.777
  • eval_steps_per_second: 18.61
  • step: 0

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: 3
  • eval_batch_size: 3
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.5.0+cu121
  • Datasets 3.0.2
  • Tokenizers 0.19.1