Built with Axolotl

a46af5ef-23e2-4dd5-8ad8-5827595a3497

This model is a fine-tuned version of Eurdem/Defne_llama3_2x8B on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8353

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: 0.000209
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 50
  • training_steps: 400

Training results

Training Loss Epoch Step Validation Loss
No log 0.0000 1 2.0108
1.8561 0.0016 50 1.8148
1.7743 0.0033 100 1.8322
1.7784 0.0049 150 1.8162
1.8019 0.0066 200 1.8353

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1
Downloads last month
1
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no pipeline_tag.

Model tree for lesso/a46af5ef-23e2-4dd5-8ad8-5827595a3497

Adapter
(126)
this model