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metadata
license: apache-2.0
base_model: google/bert_uncased_L-2_H-128_A-2
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: thesis
    results: []

thesis

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7609
  • Accuracy: 0.7546

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: 3.0969456495664865e-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 33
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
3.5143 1.0 527 2.7609 0.7546

Framework versions

  • Transformers 4.36.2
  • Pytorch 1.12.0
  • Datasets 2.16.1
  • Tokenizers 0.15.0