gemma2-27b-biomedical-paired-1k
This model is a fine-tuned version of google/gemma-2-27b-it on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.5773
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6151 | 0.1845 | 100 | 1.6014 |
| 1.58 | 0.3689 | 200 | 1.5931 |
| 1.6179 | 0.5534 | 300 | 1.5920 |
| 1.5615 | 0.7378 | 400 | 1.5806 |
| 1.5105 | 0.9223 | 500 | 1.5746 |
| 1.3345 | 1.1068 | 600 | 1.5904 |
| 1.3333 | 1.2912 | 700 | 1.5834 |
| 1.2613 | 1.4757 | 800 | 1.5847 |
| 1.2982 | 1.6601 | 900 | 1.5800 |
| 1.3027 | 1.8446 | 1000 | 1.5773 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.3.0
- Datasets 2.20.0
- Tokenizers 0.19.1
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