pairwise-reward-gemma-2-2b-it_ultrafeedback_binarized_20240906_140144
This model is a fine-tuned version of google/gemma-2-2b-it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5049
- Accuracy: 0.7519
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-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.483 | 0.0891 | 100 | 0.5471 | 0.7349 |
0.4683 | 0.1783 | 200 | 0.5293 | 0.7332 |
0.5305 | 0.2674 | 300 | 0.5220 | 0.7306 |
0.5348 | 0.3565 | 400 | 0.5129 | 0.7434 |
0.5165 | 0.4456 | 500 | 0.5090 | 0.7519 |
0.5116 | 0.5348 | 600 | 0.5073 | 0.7511 |
0.5209 | 0.6239 | 700 | 0.5076 | 0.7528 |
0.4792 | 0.7130 | 800 | 0.5058 | 0.7545 |
0.4474 | 0.8021 | 900 | 0.5047 | 0.7528 |
0.4762 | 0.8913 | 1000 | 0.5045 | 0.7511 |
0.5058 | 0.9804 | 1100 | 0.5049 | 0.7519 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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