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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: tiny-classification-fast
    results: []

tiny-classification-fast

This model is a fine-tuned version of cross-encoder/ms-marco-TinyBERT-L-2-v2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8673
  • Accuracy: 0.7786

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: 2e-05
  • train_batch_size: 64
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.9077 1.0 785 1.0466 0.7482
1.0061 2.0 1570 0.8673 0.7786

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.1+cu117
  • Datasets 2.9.0
  • Tokenizers 0.13.2