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metadata
library_name: peft
license: mit
base_model: fxmarty/tiny-dummy-qwen2
tags:
  - axolotl
  - generated_from_trainer
model-index:
  - name: 68ca8256-f728-4013-bfeb-96b471fa39e4
    results: []

Built with Axolotl

68ca8256-f728-4013-bfeb-96b471fa39e4

This model is a fine-tuned version of fxmarty/tiny-dummy-qwen2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 11.9186

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: 0.000218
  • 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 11.9326
11.9241 0.0118 50 11.9226
11.9204 0.0235 100 11.9212
11.9203 0.0353 150 11.9210
11.922 0.0470 200 11.9204
11.9189 0.0588 250 11.9196
11.9197 0.0705 300 11.9192
11.9188 0.0823 350 11.9188
11.921 0.0941 400 11.9187
11.9191 0.1058 450 11.9187
11.917 0.1176 500 11.9186

Framework versions

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