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metadata
library_name: peft
license: llama3
base_model: Eurdem/Defne_llama3_2x8B
tags:
  - axolotl
  - generated_from_trainer
model-index:
  - name: db95e13d-d8a8-4952-8fc3-6ec10d85647b
    results: []

Built with Axolotl

db95e13d-d8a8-4952-8fc3-6ec10d85647b

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: 1.3309

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: 0.000207
  • 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=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss
No log 0.0002 1 1.4330
1.2279 0.0085 50 1.2477
1.303 0.0170 100 1.3106
1.1985 0.0255 150 1.2481
1.2807 0.0340 200 1.3309

Framework versions

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