metadata
base_model: google/gemma-2-2b-it
datasets:
- GaetanMichelet/chat-60_ft_task-3_auto
- GaetanMichelet/chat-120_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_120-samples_config-2_auto
results: []
Gemma-2-2B_task-3_120-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 and the GaetanMichelet/chat-120_ft_task-3_auto datasets. It achieves the following results on the evaluation set:
- Loss: 0.3668
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 |
|---|---|---|---|
| 3.1348 | 0.9091 | 5 | 3.0350 |
| 2.28 | 2.0 | 11 | 1.6218 |
| 1.0138 | 2.9091 | 16 | 0.8415 |
| 0.6086 | 4.0 | 22 | 0.5121 |
| 0.3577 | 4.9091 | 27 | 0.4359 |
| 0.3199 | 6.0 | 33 | 0.3970 |
| 0.2918 | 6.9091 | 38 | 0.3742 |
| 0.2444 | 8.0 | 44 | 0.3668 |
| 0.2258 | 8.9091 | 49 | 0.3723 |
| 0.1726 | 10.0 | 55 | 0.3867 |
| 0.1425 | 10.9091 | 60 | 0.4167 |
| 0.1228 | 12.0 | 66 | 0.4851 |
| 0.103 | 12.9091 | 71 | 0.5679 |
| 0.0545 | 14.0 | 77 | 0.6689 |
| 0.0273 | 14.9091 | 82 | 0.7299 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1