metadata
base_model: google/gemma-2-2b-it
datasets:
- GaetanMichelet/chat-60_ft_task-2
- GaetanMichelet/chat-120_ft_task-2
- GaetanMichelet/chat-180_ft_task-2
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
results: []
Gemma-2-2B_task-2_180-samples_config-1_full
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-2, the GaetanMichelet/chat-120_ft_task-2 and the GaetanMichelet/chat-180_ft_task-2 datasets. It achieves the following results on the evaluation set:
- Loss: 0.8685
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 |
|---|---|---|---|
| 1.2797 | 1.0 | 17 | 1.2698 |
| 1.1117 | 2.0 | 34 | 1.0882 |
| 0.9258 | 3.0 | 51 | 0.9472 |
| 0.8212 | 4.0 | 68 | 0.9018 |
| 0.7979 | 5.0 | 85 | 0.8801 |
| 0.7616 | 6.0 | 102 | 0.8685 |
| 0.7431 | 7.0 | 119 | 0.8698 |
| 0.6675 | 8.0 | 136 | 0.8850 |
| 0.5991 | 9.0 | 153 | 0.9122 |
| 0.5797 | 10.0 | 170 | 0.9582 |
| 0.559 | 11.0 | 187 | 1.0086 |
| 0.4197 | 12.0 | 204 | 1.1556 |
| 0.4433 | 13.0 | 221 | 1.1319 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1