metadata
library_name: peft
license: gemma
base_model: google/gemma-2-2b-jpn-it
tags:
- generated_from_trainer
metrics:
- spearmanr
- pearsonr
model-index:
- name: estimation-reward-gemma-2-2b
results: []
estimation-reward-gemma-2-2b
This model is a fine-tuned version of google/gemma-2-2b-jpn-it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 93.8438
- Spearmanr: 0.6688
- Kendalltau: 0.4828
- Pearsonr: 0.0
- Rmse: 9.6873
- Mae: 7.4340
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_min_lr
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Spearmanr | Kendalltau | Pearsonr | Rmse | Mae |
|---|---|---|---|---|---|---|---|---|
| 142.0495 | 0.2094 | 500 | 172.4941 | 0.1755 | 0.1193 | 0.0 | 13.1337 | 10.1489 |
| 114.1114 | 0.4188 | 1000 | 145.3719 | 0.4083 | 0.2799 | 0.0 | 12.0570 | 9.3769 |
| 126.2303 | 0.6281 | 1500 | 123.7460 | 0.5220 | 0.3660 | 0.0 | 11.1241 | 8.5576 |
| 104.0802 | 0.8375 | 2000 | 110.0878 | 0.5964 | 0.4219 | 0.0 | 10.4923 | 8.0832 |
| 92.9514 | 1.0469 | 2500 | 101.4019 | 0.6340 | 0.4530 | 0.0 | 10.0698 | 7.7131 |
| 89.5989 | 1.2563 | 3000 | 98.1783 | 0.6485 | 0.4649 | 0.0 | 9.9085 | 7.6020 |
| 76.1914 | 1.4657 | 3500 | 96.0021 | 0.6582 | 0.4736 | 0.0 | 9.7981 | 7.5160 |
| 81.2849 | 1.6750 | 4000 | 95.4644 | 0.6645 | 0.4783 | 0.0 | 9.7706 | 7.5254 |
| 75.9316 | 1.8844 | 4500 | 93.8438 | 0.6688 | 0.4828 | 0.0 | 9.6873 | 7.4340 |
Framework versions
- PEFT 0.15.1
- Transformers 4.50.2
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1