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deberta-large_lemon-spell_5k_4_p3

Token Classification
Transformers
PyTorch
deberta
Generated from Trainer
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deberta-large_lemon-spell_5k_4_p3 / README.md
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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
base_model: model_saves/deberta-large_lemon-spell_5k_4_p2
model-index:
  - name: deberta-large_lemon-spell_5k_4_p3
    results: []

deberta-large_lemon-spell_5k_4_p3

This model is a fine-tuned version of model_saves/deberta-large_lemon-spell_5k_4_p2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4154
  • Accuracy: 0.9420

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: 72
  • 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 0.4154 0.9420
No log 2.0 536 0.4406 0.9410
No log 3.0 804 0.4833 0.9407
0.2535 4.0 1072 0.5352 0.9396

Framework versions

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