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metadata
library_name: transformers
license: apache-2.0
base_model: google/bert_uncased_L-4_H-256_A-4
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bert_uncased_L-4_H-256_A-4_sst2
    results: []

bert_uncased_L-4_H-256_A-4_sst2

This model is a fine-tuned version of google/bert_uncased_L-4_H-256_A-4 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4575
  • Accuracy: 0.8589

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: 5e-05
  • train_batch_size: 256
  • eval_batch_size: 256
  • seed: 10
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.4143 1.0 264 0.4119 0.8131
0.2672 2.0 528 0.3628 0.8429
0.2117 3.0 792 0.3785 0.8498
0.1736 4.0 1056 0.4139 0.8475
0.1493 5.0 1320 0.4231 0.8532
0.1294 6.0 1584 0.4411 0.8544
0.1159 7.0 1848 0.4575 0.8589

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.2.1+cu118
  • Datasets 2.17.0
  • Tokenizers 0.20.3