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Kaushikdebb/tinyllama_ft_full_5k_sample

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Model Card

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tinyllamaftfull5ksample

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.8222

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: 0.0001
  • —trainbatchsize: 4
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 16
  • —totaltrainbatch_size: 64
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.05
  • —num_epochs: 3

Training results

Training LossEpochStepValidation Loss
1.90590.256201.8654
1.85320.512401.8407
1.83330.768601.8315
1.81781.0128801.8279
1.83661.26881001.8257
1.82491.52481201.8241
1.78241.78081401.8230
1.80512.02561601.8222
1.77222.28161801.8225
1.79672.53762001.8223
1.75832.79362201.8222

Framework versions

  • —PEFT 0.17.1
  • —Transformers 4.55.4
  • —Pytorch 2.8.0+cu126
  • —Datasets 4.0.0
  • —Tokenizers 0.21.4