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metadata
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
  - generated_from_trainer
model-index:
  - name: output
    results: []

output

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

  • Loss: 0.7458
  • Memory Allocated (gb): 2.37
  • Max Memory Allocated (gb): 2.78
  • Total Memory Available (gb): 94.62

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: 1
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
  • lr_scheduler_type: reduce_lr_on_plateau
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 4

Training results

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.3.1a0+git4989238
  • Datasets 2.19.1
  • Tokenizers 0.19.1