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7a657833-bd28-488b-b40f-3c39f993371d

This model is a fine-tuned version of unsloth/Hermes-3-Llama-3.1-8B on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8324

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: 0.0001004
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • training_steps: 200

Training results

Training Loss Epoch Step Validation Loss
1.0714 0.0001 1 3.5103
1.4467 0.0033 50 0.9955
1.1898 0.0065 100 0.9248
1.1314 0.0098 150 0.8550
1.0769 0.0130 200 0.8324

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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