childes_clm_context_13

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

  • Loss: 3.7400

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: 0.001
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 13
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100000
  • training_steps: 400000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
6.0656 1.6502 4000 4.9478
4.6756 3.3003 8000 4.3917
4.2806 4.9505 12000 4.1217
4.03 6.6007 16000 3.9478
3.858 8.2508 20000 3.8576
3.7365 9.9010 24000 3.7878
3.6323 11.5512 28000 3.7655
3.5668 13.2013 32000 3.7501
3.5104 14.8515 36000 3.7363
3.452 16.5017 40000 3.7475
3.4221 18.1518 44000 3.7495
3.3851 19.8020 48000 3.7400

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.5.1+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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