metadata
base_model: google/gemma-2-2b-it
datasets:
- GaetanMichelet/chat-60_ft_task-3_auto
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_auto
results: []
Gemma-2-2B_task-3_60-samples_config-2_auto
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-3_auto dataset. It achieves the following results on the evaluation set:
- Loss: 0.4006
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 |
|---|---|---|---|
| 3.072 | 0.6957 | 2 | 3.0875 |
| 3.0765 | 1.7391 | 5 | 2.5635 |
| 2.0933 | 2.7826 | 8 | 1.4153 |
| 1.2307 | 3.8261 | 11 | 0.7854 |
| 0.5656 | 4.8696 | 14 | 0.5590 |
| 0.5325 | 5.9130 | 17 | 0.4852 |
| 0.4027 | 6.9565 | 20 | 0.4474 |
| 0.2861 | 8.0 | 23 | 0.4358 |
| 0.3766 | 8.6957 | 25 | 0.4268 |
| 0.291 | 9.7391 | 28 | 0.4162 |
| 0.2706 | 10.7826 | 31 | 0.4064 |
| 0.2037 | 11.8261 | 34 | 0.4027 |
| 0.2057 | 12.8696 | 37 | 0.4006 |
| 0.1402 | 13.9130 | 40 | 0.4081 |
| 0.1817 | 14.9565 | 43 | 0.4246 |
| 0.119 | 16.0 | 46 | 0.4514 |
| 0.1067 | 16.6957 | 48 | 0.4775 |
| 0.0954 | 17.7391 | 51 | 0.5345 |
| 0.0553 | 18.7826 | 54 | 0.5770 |
| 0.0604 | 19.8261 | 57 | 0.6300 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1