KAM-BERT / README.md
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metadata
base_model: bert-base-uncased
library_name: transformers
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: KAM-BERT
    results: []

KAM-BERT

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4763

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
0.5081 1.0 6520 0.5494
0.1839 2.0 13040 0.4763

Framework versions

  • Transformers 4.45.1
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0