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Kaustubh12345/llama_sequence_classification_1e-05

sourceHugging Facellama3.1updated 2y agoView on Hugging Face
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Model Card

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llamasequenceclassification_1e-05

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2950
  • Pearson: 0.9339

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: 32
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 5

Training results

Training LossEpochStepValidation LossPearson
No log1.02060.84000.6880
No log2.04120.46600.8780
1.02653.06180.35480.9120
1.02654.08240.30660.9285
0.29445.010300.29500.9339

Framework versions

  • PEFT 0.14.0
  • Transformers 4.45.2
  • Pytorch 2.4.0a0+f70bd71a48.nv24.06
  • Datasets 3.2.0
  • Tokenizers 0.20.3