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End of training
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metadata
base_model: EleutherAI/pythia-14m
tags:
  - generated_from_trainer
model-index:
  - name: robust_llm_84a664f4df9211ee886186e11d54e141_from_EleutherAI_pythia-14m
    results: []

robust_llm_84a664f4df9211ee886186e11d54e141_from_EleutherAI_pythia-14m

This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown 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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 32
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • total_train_batch_size: 8
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0
  • Datasets 2.17.0
  • Tokenizers 0.15.2