metadata
base_model: google/gemma-2-2b-it
datasets:
- GaetanMichelet/chat-60_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_60-samples_config-1_auto
results: []
Gemma-2-2B_task-1_60-samples_config-1_auto
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-1_auto dataset. It achieves the following results on the evaluation set:
- Loss: 0.9772
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 |
|---|---|---|---|
| 1.5831 | 0.8696 | 5 | 1.5868 |
| 1.4338 | 1.9130 | 11 | 1.2779 |
| 1.0588 | 2.9565 | 17 | 1.0678 |
| 0.9374 | 4.0 | 23 | 1.0078 |
| 0.7559 | 4.8696 | 28 | 0.9772 |
| 0.6571 | 5.9130 | 34 | 0.9865 |
| 0.4598 | 6.9565 | 40 | 1.0228 |
| 0.3646 | 8.0 | 46 | 1.1915 |
| 0.2273 | 8.8696 | 51 | 1.4645 |
| 0.1298 | 9.9130 | 57 | 1.8402 |
| 0.0881 | 10.9565 | 63 | 2.1073 |
| 0.0555 | 12.0 | 69 | 2.3285 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1