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gpt2-xl-lora-multi-512-k5-14-im-1

This model is a fine-tuned version of openai-community/gpt2-xl on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8510

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: 2
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 16
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • lr_scheduler_warmup_steps: 15275
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.13.2
  • Transformers 4.45.2
  • Pytorch 2.1.0a0+32f93b1
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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