CoolFace
Modelpublic

linnotlinn/run2-babylm-original-1234-gpt2-small

sourceHugging Faceupdated 28d agoView on Hugging Face
0likes985downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

run2-babylm-original-1234-gpt2-small

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: 2.5255

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: 64
  • —evalbatchsize: 64
  • —seed: 1234
  • —gradientaccumulationsteps: 8
  • —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: 100
  • —num_epochs: 20.0

Training results

Training LossEpochStepValidation Loss
4.26620.50911604.1882
3.86081.01593203.8359
3.68711.52514803.6121
3.47532.03186403.4000
3.30262.54108003.2452
3.18353.04779603.1260
3.07623.556911203.0267
3.01044.063612802.9446
2.92784.572814402.8780
2.87955.079616002.8293
2.86275.588717602.7873
2.74316.095519202.7551
2.77106.604620802.7263
2.73507.111422402.7031
2.72037.620524002.6839
2.65268.127325602.6649
2.66258.636427202.6494
2.66829.143228802.6354
2.63149.652330402.6232
2.612110.159132002.6107
2.589210.668333602.6014
2.577411.175035202.5928
2.593211.684236802.5837
2.541212.190938402.5766
2.561012.700140002.5696
2.551613.206841602.5640
2.541513.716043202.5591
2.532114.222844802.5537
2.538214.731946402.5495
2.518715.238748002.5458
2.526215.747849602.5422
2.502416.254651202.5396
2.510216.763752802.5363
2.514617.270554402.5347
2.477917.779656002.5315
2.504118.286457602.5308
2.493318.795559202.5280
2.476219.302360802.5271
2.487019.811562402.5255
2.514820.063002.5259

Framework versions

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