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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: deberta-large_spell_5k_5_p3
    results: []

deberta-large_spell_5k_5_p3

This model is a fine-tuned version of model_saves/deberta-large_spell_5k_5_p2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4162
  • Accuracy: 0.9411

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: 1e-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 82
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • num_epochs: 15.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 268 0.4162 0.9411
No log 2.0 536 0.4404 0.9404
No log 3.0 804 0.4810 0.9403
0.2516 4.0 1072 0.5352 0.9393

Framework versions

  • Transformers 4.21.0.dev0
  • Pytorch 1.11.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1