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aakarsh-nair/experiment-distill-tree-babylm2024-360M-seq-0

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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experiment-distill-tree-babylm2024-360M-seq-0

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.4571

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: 0.00025
  • —trainbatchsize: 64
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 200
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
5.151.020655.2670
4.27432.041304.4076
3.87693.061954.0949
3.73674.082603.8463
3.54035.0103253.7044
3.50166.0123903.5987
3.35627.0144553.5177
3.32978.0165203.4786
3.25539.0185853.4612
3.31510.0206503.4571

Framework versions

  • —Transformers 4.45.0.dev0
  • —Pytorch 2.4.0+cu121
  • —Tokenizers 0.19.1