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aakarsh-nair/experiment-distill-tree-babylm2024-360M-seq-1

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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experiment-distill-tree-babylm2024-360M-seq-1

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: 3.3179

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
4.97811.020655.2077
4.0672.041304.2131
3.72943.061953.8683
3.60354.082603.7189
3.38075.0103253.5719
3.33176.0123903.4493
3.20387.0144553.3726
3.17858.0165203.3364
3.10469.0185853.3218
3.165110.0206503.3179

Framework versions

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