metadata
base_model: google/gemma-2-2b-it
library_name: peft
license: gemma
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Gemma-2-2B_task-1_120-samples_config-2_full_auto
results: []
Gemma-2-2B_task-1_120-samples_config-2_full_auto
This model is a fine-tuned version of google/gemma-2-2b-it on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5847
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 |
|---|---|---|---|
| 2.2743 | 0.9091 | 5 | 2.2774 |
| 2.2016 | 2.0 | 11 | 1.9581 |
| 1.6799 | 2.9091 | 16 | 1.5711 |
| 1.3079 | 4.0 | 22 | 1.2308 |
| 1.0919 | 4.9091 | 27 | 1.0583 |
| 0.9651 | 6.0 | 33 | 0.9889 |
| 0.8719 | 6.9091 | 38 | 0.9588 |
| 0.8299 | 8.0 | 44 | 0.9332 |
| 0.7912 | 8.9091 | 49 | 0.9282 |
| 0.692 | 10.0 | 55 | 0.9332 |
| 0.63 | 10.9091 | 60 | 0.9539 |
| 0.5784 | 12.0 | 66 | 1.0078 |
| 0.4937 | 12.9091 | 71 | 1.0819 |
| 0.4029 | 14.0 | 77 | 1.2032 |
| 0.3117 | 14.9091 | 82 | 1.3912 |
| 0.2521 | 16.0 | 88 | 1.5847 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1