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zsc_finetune_results

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metadata
library_name: transformers
license: mit
base_model: MoritzLaurer/deberta-v3-large-zeroshot-v2.0-c
tags:
  - generated_from_trainer
model-index:
  - name: zsc_finetune_results
    results: []

zsc_finetune_results

This model is a fine-tuned version of MoritzLaurer/deberta-v3-large-zeroshot-v2.0-c on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0007

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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.8542 1.0 6400 1.0007

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3