opt-babylm-350m-20eps-seed964

This model was trained from scratch on the znhoughton/babylm-150m-v3 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: 0.0001
  • train_batch_size: 200
  • eval_batch_size: 8
  • seed: 964
  • distributed_type: multi-GPU
  • num_devices: 2
  • total_train_batch_size: 400
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 732
  • num_epochs: 20.0

Training results

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.4.1+cu124
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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Dataset used to train znhoughton/opt-babylm-350m-20eps-seed964