metadata
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2-9b-it
model-index:
- name: gemma2_9b_it_bwgenerator
results: []
gemma2_9b_it_bwgenerator
This model is a fine-tuned version of google/gemma-2-9b-it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0764
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7323 | 0.4109 | 50 | 0.2588 |
| 0.1825 | 0.8218 | 100 | 0.1536 |
| 0.143 | 1.2327 | 150 | 0.1322 |
| 0.1235 | 1.6436 | 200 | 0.1158 |
| 0.1096 | 2.0544 | 250 | 0.1038 |
| 0.0887 | 2.4653 | 300 | 0.0777 |
| 0.0767 | 2.8762 | 350 | 0.0764 |
Framework versions
- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1