google_gemma-2-2b_HelpSteer2_sftsd0
This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0378
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: 8e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 0
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0 | 0 | 1.3575 |
1.1406 | 0.0835 | 100 | 1.0877 |
1.0744 | 0.1669 | 200 | 1.0663 |
1.1257 | 0.2504 | 300 | 1.0567 |
1.0949 | 0.3339 | 400 | 1.0507 |
1.0637 | 0.4174 | 500 | 1.0462 |
1.033 | 0.5008 | 600 | 1.0431 |
1.0928 | 0.5843 | 700 | 1.0407 |
1.0732 | 0.6678 | 800 | 1.0392 |
1.0566 | 0.7513 | 900 | 1.0384 |
1.0445 | 0.8347 | 1000 | 1.0380 |
1.0772 | 0.9182 | 1100 | 1.0379 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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