GaetanMichelet's picture
End of training
47df266 verified
metadata
base_model: google/gemma-2-2b-it
datasets:
  - GaetanMichelet/chat-60_ft_task-3
library_name: peft
license: gemma
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Gemma-2-2B_task-3_60-samples_config-2
    results: []

Gemma-2-2B_task-3_60-samples_config-2

This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-3 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4126

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
3.2454 0.6957 2 3.2345
3.2274 1.7391 5 2.6911
2.1741 2.7826 8 1.4943
1.3679 3.8261 11 0.8702
0.6621 4.8696 14 0.6007
0.5808 5.9130 17 0.5171
0.456 6.9565 20 0.4745
0.3027 8.0 23 0.4504
0.3998 8.6957 25 0.4361
0.2969 9.7391 28 0.4208
0.283 10.7826 31 0.4126
0.1909 11.8261 34 0.4143
0.1833 12.8696 37 0.4323
0.1128 13.9130 40 0.4549
0.16 14.9565 43 0.4737
0.0817 16.0 46 0.5361
0.0679 16.6957 48 0.5978
0.0501 17.7391 51 0.6335

Framework versions

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