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metadata
library_name: peft
license: mit
base_model: fxmarty/tiny-random-GemmaForCausalLM
tags:
  - axolotl
  - generated_from_trainer
model-index:
  - name: 09562065-19e2-4296-812c-7420d36612d2
    results: []

Built with Axolotl

09562065-19e2-4296-812c-7420d36612d2

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

  • Loss: 12.3853

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 0.0010 1 12.4603
12.4566 0.0498 50 12.4551
12.4036 0.0996 100 12.3979
12.3863 0.1493 150 12.3890
12.3915 0.1991 200 12.3869
12.3782 0.2489 250 12.3859
12.383 0.2987 300 12.3853
12.3854 0.3484 350 12.3855
12.3848 0.3982 400 12.3853
12.3851 0.4480 450 12.3852
12.3824 0.4978 500 12.3853

Framework versions

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