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

session-classifier

This model is a fine-tuned version of bert-base-uncased on the None dataset.

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: 128
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 3
  • total_train_batch_size: 384
  • optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
  • lr_scheduler_type: cosine
  • num_epochs: 5

Training results

Framework versions

  • Transformers 4.51.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.1
  • Tokenizers 0.21.1