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_auto
results: []
Gemma-2-2B_task-1_180-samples_config-2_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: 0.9777
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 |
|---|---|---|---|
| 1.6536 | 0.9412 | 8 | 1.6148 |
| 1.2068 | 2.0 | 17 | 1.1807 |
| 1.099 | 2.9412 | 25 | 1.0637 |
| 0.9298 | 4.0 | 34 | 1.0063 |
| 0.831 | 4.9412 | 42 | 0.9777 |
| 0.7592 | 6.0 | 51 | 0.9821 |
| 0.5722 | 6.9412 | 59 | 1.0386 |
| 0.4793 | 8.0 | 68 | 1.2374 |
| 0.3157 | 8.9412 | 76 | 1.4530 |
| 0.2078 | 10.0 | 85 | 1.8075 |
| 0.1328 | 10.9412 | 93 | 2.0376 |
| 0.0699 | 12.0 | 102 | 2.2026 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1