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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: tiny-mlm-glue-wnli-target-glue-qnli
    results: []

tiny-mlm-glue-wnli-target-glue-qnli

This model is a fine-tuned version of muhtasham/tiny-mlm-glue-wnli on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4737
  • Accuracy: 0.7794

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: 3e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • training_steps: 5000

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6298 0.15 500 0.5598 0.7249
0.563 0.31 1000 0.5282 0.7435
0.5386 0.46 1500 0.5010 0.7571
0.527 0.61 2000 0.5312 0.7426
0.5221 0.76 2500 0.4837 0.7743
0.5131 0.92 3000 0.4730 0.7785
0.4991 1.07 3500 0.4643 0.7860
0.4896 1.22 4000 0.4685 0.7809
0.4755 1.37 4500 0.4734 0.7783
0.4829 1.53 5000 0.4737 0.7794

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu116
  • Datasets 2.8.1.dev0
  • Tokenizers 0.13.2