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metadata
base_model: google/gemma-2-2b-it
datasets:
  - GaetanMichelet/chat-60_ft_task-2
  - GaetanMichelet/chat-120_ft_task-2
library_name: peft
license: gemma
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Gemma-2-2B_task-2_120-samples_config-1_full
    results: []

Gemma-2-2B_task-2_120-samples_config-1_full

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

  • Loss: 0.8720

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: 8
  • total_train_batch_size: 8
  • 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
1.2764 1.0 11 1.3024
1.0771 2.0 22 1.1453
1.0212 3.0 33 1.0337
0.9453 4.0 44 0.9333
0.8729 5.0 55 0.8991
0.8348 6.0 66 0.8805
0.8039 7.0 77 0.8735
0.7673 8.0 88 0.8720
0.7032 9.0 99 0.8838
0.6184 10.0 110 0.9229
0.6169 11.0 121 0.9628
0.4972 12.0 132 1.0208
0.5106 13.0 143 1.0691
0.3363 14.0 154 1.1944
0.2612 15.0 165 1.2480

Framework versions

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