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metadata
license: mit
base_model: EleutherAI/gpt-neo-125m
tags:
  - generated_from_trainer
model-index:
  - name: gpt-neo-125m_LAMA_TREx_finetuning_MAGNET_valid
    results: []

gpt-neo-125m_LAMA_TREx_finetuning_MAGNET_valid

This model is a fine-tuned version of EleutherAI/gpt-neo-125m 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: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 0
  • distributed_type: multi-GPU
  • num_devices: 4
  • total_train_batch_size: 128
  • total_eval_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.33.2
  • Pytorch 1.13.1
  • Datasets 2.14.5
  • Tokenizers 0.13.3