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metadata
base_model: google/gemma-2-2b-it
datasets:
  - GaetanMichelet/chat-60_ft_task-2
library_name: peft
license: gemma
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Gemma-2-2B_task-2_60-samples_config-2
    results: []

Gemma-2-2B_task-2_60-samples_config-2

This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6932

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: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss
1.0008 0.6957 2 1.0610
0.9848 1.7391 5 1.0090
0.8909 2.7826 8 0.8771
0.7601 3.8261 11 0.8055
0.7251 4.8696 14 0.7676
0.6518 5.9130 17 0.7352
0.6256 6.9565 20 0.7191
0.5985 8.0 23 0.7080
0.5809 8.6957 25 0.7035
0.5221 9.7391 28 0.6958
0.5052 10.7826 31 0.6939
0.4727 11.8261 34 0.6932
0.4384 12.8696 37 0.6968
0.4074 13.9130 40 0.7064
0.3396 14.9565 43 0.7210
0.3296 16.0 46 0.7495
0.2865 16.6957 48 0.7752
0.2732 17.7391 51 0.8188
0.2207 18.7826 54 0.8808

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.0
  • Pytorch 2.1.2+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1