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-2_full
results: []
Gemma-2-2B_task-2_180-samples_config-2_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: 0.8710
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 |
|---|---|---|---|
| 1.3182 | 0.9412 | 8 | 1.3144 |
| 1.2253 | 2.0 | 17 | 1.1693 |
| 1.1196 | 2.9412 | 25 | 1.0760 |
| 0.9289 | 4.0 | 34 | 0.9662 |
| 0.8623 | 4.9412 | 42 | 0.9212 |
| 0.8786 | 6.0 | 51 | 0.8973 |
| 0.861 | 6.9412 | 59 | 0.8845 |
| 0.8112 | 8.0 | 68 | 0.8751 |
| 0.7491 | 8.9412 | 76 | 0.8714 |
| 0.7439 | 10.0 | 85 | 0.8710 |
| 0.7136 | 10.9412 | 93 | 0.8754 |
| 0.6546 | 12.0 | 102 | 0.8866 |
| 0.6539 | 12.9412 | 110 | 0.9093 |
| 0.632 | 14.0 | 119 | 0.9347 |
| 0.543 | 14.9412 | 127 | 0.9885 |
| 0.4869 | 16.0 | 136 | 1.0262 |
| 0.4926 | 16.9412 | 144 | 1.0435 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1