mtzig / tinyllama-1.1b-sft-test3

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Model's Last Updated: September 22 2025

Introduction of tinyllama-1.1b-sft-test3

Model Details of tinyllama-1.1b-sft-test3

tinyllama-1.1b-sft-test3

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2259
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: 0.0003
  • train_batch_size: 16
  • eval_batch_size: 10
  • seed: 4234
  • optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 1
Training results
Training Loss Epoch Step Validation Loss
0.3312 0.0778 20 0.2974
0.3523 0.1556 40 0.2538
0.2853 0.2335 60 0.2694
0.2953 0.3113 80 0.2519
0.3104 0.3891 100 0.2379
0.3664 0.4669 120 0.2325
0.3484 0.5447 140 0.2302
0.2604 0.6226 160 0.2322
0.3282 0.7004 180 0.2232
0.2788 0.7782 200 0.2250
0.2589 0.8560 220 0.2260
0.2551 0.9339 240 0.2259
Framework versions
  • PEFT 0.15.2
  • Transformers 4.51.3
  • Pytorch 2.7.0+cu128
  • Datasets 3.5.0
  • Tokenizers 0.21.1

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