--- base_model: google/gemma-2-2b-it datasets: - GaetanMichelet/chat-60_ft_task-2_auto - GaetanMichelet/chat-120_ft_task-2_auto - GaetanMichelet/chat-180_ft_task-2_auto library_name: peft license: gemma tags: - alignment-handbook - trl - sft - generated_from_trainer model-index: - name: Gemma-2-2B_task-2_180-samples_config-1_full_auto results: [] --- # Gemma-2-2B_task-2_180-samples_config-1_full_auto This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the GaetanMichelet/chat-60_ft_task-2_auto, the GaetanMichelet/chat-120_ft_task-2_auto and the GaetanMichelet/chat-180_ft_task-2_auto datasets. It achieves the following results on the evaluation set: - Loss: 0.8559 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | 1.2757 | 1.0 | 17 | 1.2558 | | 1.0993 | 2.0 | 34 | 1.0768 | | 0.9179 | 3.0 | 51 | 0.9359 | | 0.8135 | 4.0 | 68 | 0.8881 | | 0.7851 | 5.0 | 85 | 0.8660 | | 0.7461 | 6.0 | 102 | 0.8559 | | 0.7244 | 7.0 | 119 | 0.8581 | | 0.6484 | 8.0 | 136 | 0.8743 | | 0.5865 | 9.0 | 153 | 0.9082 | | 0.5719 | 10.0 | 170 | 0.9505 | | 0.5453 | 11.0 | 187 | 1.0115 | | 0.4079 | 12.0 | 204 | 1.1288 | | 0.4321 | 13.0 | 221 | 1.1490 | ### Framework versions - PEFT 0.12.0 - Transformers 4.44.0 - Pytorch 2.1.2+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1