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thrunlab/sparse_llama_debugging_refined_web_90p_debugging_2024-03-21

sourceHugging Faceupdated 3y agoView on Hugging Face
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sparsellamadebuggingrefinedweb90pdebugging_2024-03-21

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 10.3835

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
  • trainbatchsize: 1
  • evalbatchsize: 1
  • seed: 0
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradientaccumulationsteps: 8
  • totaltrainbatch_size: 32
  • totalevalbatch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • training_steps: 10

Training results

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0