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metadata
base_model: MoritzLaurer/deberta-v3-large-zeroshot-v2.0
library_name: peft
license: mit
metrics:
  - accuracy
tags:
  - generated_from_trainer
model-index:
  - name: fine-tuned-MoritzLaurer-deberta-v3-large-zeroshot-v2.0-arcchallenge
    results: []
datasets:
  - allenai/ai2_arc

fine-tuned-MoritzLaurer-deberta-v3-large-zeroshot-v2.0-arcchallenge

This model is a fine-tuned version of MoritzLaurer/deberta-v3-large-zeroshot-v2.0 on ARC-Challenge dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6476
  • Accuracy: 0.6087

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: 1.5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 6
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 70 0.9709 0.6421
No log 2.0 140 1.0093 0.6321
No log 3.0 210 1.2280 0.6455
No log 4.0 280 1.4439 0.6355
No log 5.0 350 1.6110 0.6120
No log 6.0 420 1.6476 0.6087

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1