metadata
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2-9b
model-index:
- name: gemma2_9b_bwgenerator
results: []
gemma2_9b_bwgenerator
This model is a fine-tuned version of google/gemma-2-9b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0768
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1596 | 0.2568 | 1000 | 0.0956 |
| 0.0875 | 0.5136 | 2000 | 0.0826 |
| 0.0798 | 0.7704 | 3000 | 0.0768 |
Framework versions
- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1