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metadata
base_model: google/gemma-2-2b-it
datasets:
  - GaetanMichelet/chat-60_ft_task-1_auto
  - GaetanMichelet/chat-120_ft_task-1_auto
  - GaetanMichelet/chat-180_ft_task-1_auto
library_name: peft
license: gemma
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Gemma-2-2B_task-1_180-samples_config-2_full_auto
    results: []

Gemma-2-2B_task-1_180-samples_config-2_full_auto

This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-1_auto, the GaetanMichelet/chat-120_ft_task-1_auto and the GaetanMichelet/chat-180_ft_task-1_auto datasets. It achieves the following results on the evaluation set:

  • Loss: 0.9375

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
2.2783 0.9412 8 2.2320
1.8925 2.0 17 1.7374
1.479 2.9412 25 1.3322
1.0469 4.0 34 1.0631
0.962 4.9412 42 0.9939
0.9343 6.0 51 0.9545
0.8325 6.9412 59 0.9375
0.7698 8.0 68 0.9379
0.6897 8.9412 76 0.9577
0.5925 10.0 85 1.0182
0.506 10.9412 93 1.1055
0.3319 12.0 102 1.2682
0.2649 12.9412 110 1.4429
0.2121 14.0 119 1.6486

Framework versions

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