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metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
  - generated_from_trainer
model-index:
  - name: bert-base-uncased-finetuned-wls-manual-2ep-lower
    results: []

bert-base-uncased-finetuned-wls-manual-2ep-lower

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7614

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: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • 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
2.1678 0.93 7 2.0527
1.6854 1.87 14 1.7688

Framework versions

  • Transformers 4.31.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.14.4
  • Tokenizers 0.13.3