gpt2_small_expandedbabyLM_10M_44

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 3.1547

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
  • train_batch_size: 256
  • eval_batch_size: 256
  • seed: 44
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 4000
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
6.5673 1.0 509 4.9693
4.8448 2.0 1018 4.1971
4.4997 3.0 1527 3.8602
4.163 4.0 2036 3.6572
4.0111 5.0 2545 3.5189
3.8361 6.0 3054 3.4181
3.743 7.0 3563 3.3460
3.6272 8.0 4072 3.2891
3.5362 9.0 4581 3.2386
3.4533 10.0 5090 3.2086
3.3777 11.0 5599 3.1844
3.3088 12.0 6108 3.1709
3.2436 13.0 6617 3.1626
3.1912 14.0 7126 3.1571
3.1343 15.0 7635 3.1547
3.0783 16.0 8144 3.1561
3.0323 17.0 8653 3.1599
2.9926 18.0 9162 3.1639

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.11.0+cu130
  • Datasets 4.1.1
  • Tokenizers 0.13.3
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