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keylazy/Llama-2-7b-chat-hf-ark-ft

sourceHugging Faceupdated 3y agoView on Hugging Face
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Llama-2-7b-chat-hf-ark-ft

This model is a fine-tuned version of keylazy/Llama-2-7b-chat-hf-ark on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1845
  • —Accuracy: 0.9435
  • —Precision: 0.9435
  • —Recall: 0.9435
  • —F1: 0.9434

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
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 128
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyPrecisionRecallF1
0.16350.538280.16120.92670.92700.92670.9267
0.13021.076560.13300.94240.94290.94240.9423
0.03521.5114840.18450.94350.94350.94350.9434
0.03162.0153120.18510.94280.94290.94280.9428

Framework versions

  • —Transformers 4.35.0
  • —Pytorch 2.1.0+cu118
  • —Datasets 2.14.6
  • —Tokenizers 0.14.1