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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: deberta-large_lemon-spell_5k_3_p3
    results: []

deberta-large_lemon-spell_5k_3_p3

This model is a fine-tuned version of model_saves/deberta-large_lemon-spell_5k_3_p2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4165
  • Accuracy: 0.9416

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: 62
  • 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 0.4165 0.9416
No log 2.0 536 0.4361 0.9410
No log 3.0 804 0.4829 0.9402
0.256 4.0 1072 0.5374 0.9400

Framework versions

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