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YAML Metadata Error: "datasets[0]" with value "/pfs/lustrep4/scratch/project_462000259/shared_datasets/modified_200/modified_200/" is not valid. If possible, use a dataset id from https://hf.co/datasets.
YAML Metadata Error: "model-index[0].results[0].dataset.type" with value "/pfs/lustrep4/scratch/project_462000259/shared_datasets/modified_200/modified_200/" fails to match the required pattern: /^(?:[\w-]+\/)?[\w-.]+$/

layer_0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31

This model is a fine-tuned version of /pfs/lustrep4/scratch/project_462000259/shared_models/pythia-2.8b-deduped-base/pythia-2.8b-deduped on the /pfs/lustrep4/scratch/project_462000259/shared_datasets/modified_200/modified_200/ dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9966
  • Accuracy: 0.0592

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: 1
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 16
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 14484

Training results

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.1+rocm5.4.2
  • Datasets 2.11.0
  • Tokenizers 0.13.3
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Evaluation results

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This model's model-index metadata is invalid: Schema validation error. "model-index[0].results[0].dataset.type" with value "/pfs/lustrep4/scratch/project_462000259/shared_datasets/modified_200/modified_200/" fails to match the required pattern: /^(?:[\w-]+\/)?[\w-.]+$/