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linnotlinn/babylm-shuffled-1234-pythia-70m

sourceHugging Faceupdated 1mo agoView on Hugging Face
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Model Card

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babylm-shuffled-1234-pythia-70m

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: 3.3630

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: 0.0002
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 1234
  • —gradientaccumulationsteps: 16
  • —totaltrainbatch_size: 512
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: cosinewithmin_lr
  • —lrschedulerwarmup_steps: 20
  • —num_epochs: 20.0

Training results

Training LossEpochStepValidation Loss
4.60640.47741404.5765
4.16780.95482804.1498
3.96501.42974203.9586
3.85341.90715603.8480
3.76782.38197003.7717
3.71092.85938403.7079
3.65203.33429803.6622
3.60763.811611203.6255
3.57204.286412603.5948
3.55174.763914003.5667
3.51675.238715403.5454
3.50405.716116803.5254
3.46966.191018203.5077
3.46486.668419603.4915
3.43117.143221003.4807
3.42197.620622403.4674
3.39798.095523803.4577
3.39908.572925203.4466
3.37359.047726603.4390
3.37409.525128003.4301
3.373010.029403.4235
3.355510.477430803.4167
3.347610.954832203.4094
3.336511.429733603.4059
3.335211.907135003.3996
3.321212.381936403.3969
3.320912.859337803.3912
3.305113.334239203.3886
3.309413.811640603.3842
3.291514.286442003.3822
3.295614.763943403.3788
3.284015.238744803.3775
3.292015.716146203.3742
3.273916.191047603.3729
3.277216.668449003.3706
3.268617.143250403.3696
3.273217.620651803.3680
3.261418.095553203.3669
3.267918.572954603.3659
3.261419.047756003.3650
3.260819.525157403.3641
3.268620.058803.3630

Framework versions

  • —Transformers 5.13.0
  • —Pytorch 2.11.0+cu128
  • —Datasets 5.0.0
  • —Tokenizers 0.22.2